1. Introduction
Emulsions, which consist of two immiscible liquids with one phase dispersed as droplets in the other, represent a class of thermodynamically unstable systems due to their characteristically high interfacial energy (Pawar et al. Reference Pawar, Caggioni, Ergun, Hartel and Spicer2011; Jiang et al. Reference Jiang, Sheng and Ngai2020). While conventional emulsion stabilisation has long relied on surfactants or amphiphilic polymers, a pivotal breakthrough occurred in the early 20th century when Ramsden (Reference Ramsden1904) and Pickering (Reference Pickering1907) discovered that solid particles could effectively stabilise emulsions – systems now widely known as Pickering emulsions. The exceptional stability of Pickering emulsions originates from the dense particle layer formed at the droplet interface, which converts high-energy liquid–liquid interfaces into lower-energy solid–liquid interfaces, thereby substantially reducing the system’s free energy and enhancing both kinetic and thermodynamic stability (Briggs Reference Briggs1921; Tambe & Sharma Reference Tambe and Sharma1994; Binks Reference Binks2002; Zhang et al. Reference Zhang, Zhang and Liu2022a ). Compared with traditional surfactant-stabilised emulsions, Pickering systems offer significant advantages, including reduced toxicity, minimal chemical requirements and a lower environmental footprint (Wu & Ma Reference Wu and Ma2016). These merits have spurred their widespread adoption in diverse applications such as pharmaceutical delivery (Frelichowska et al. Reference Frelichowska, Bolzinger, Pelletier, Valour and Chevalier2009), enhanced oil recovery (Sullivan & Kilpatrick Reference Sullivan and Kilpatrick2002) and food processing (Zhao et al. Reference Zhao, Wang, Zhang, Li, He, Meng and Liu2023).
Extensive research has elucidated the critical role of particles in regulating emulsion stability through two primary mechanisms: steric hindrance and particle bridging (Hunter et al. Reference Hunter, Pugh, Franks and Jameson2008; Chevalier & Bolzinger Reference Chevalier and Bolzinger2013; Bizmark & Ioannidis Reference Bizmark and Ioannidis2018). It is important to distinguish these mechanical stabilisation mechanisms from the thermodynamic origin of particle attachment. Particle adsorption at the interface reduces the liquid–liquid interfacial area and provides a large desorption energy barrier, which explains why particles remain energetically trapped at the interface. However, the actual resistance of droplets to coalescence, once particles are adsorbed, is governed by distinct mechanical processes. Steric stabilisation of droplets is strongly dictated by particle coverage at the interface. At high coverage, irreversibly adsorbed particles form a densely packed barrier that mechanically resists droplet coalescence during film drainage (Tambe & Sharma Reference Tambe and Sharma1994). In contrast, at low coverage, capillary attraction between droplets via particles preferentially wetted by the droplet phase can promote coalescence (Nagarkar & Velankar Reference Nagarkar and Velankar2012). A particularly intriguing intermediate behaviour is partial or arrested coalescence, wherein densely packed particles jam and resist Laplace pressure-driven relaxation, locking droplets into anisotropic shapes (Whitby & Krebsz Reference Whitby and Krebsz2014). Pawar et al. (Reference Pawar, Caggioni, Ergun, Hartel and Spicer2011) systematically demonstrated that interfacial area reduction during coalescence dynamically increases local particle coverage, leading to mechanical arrest and imparting quasi-solid characteristics to the droplets. This phenomenon enables the design of complex droplet architectures, offering pathways for advanced material fabrication (Studart et al. Reference Studart, Shum and Weitz2009).
In addition to steric effects, particle bridging constitutes another crucial stabilisation pathway, especially at partial interfacial coverage. When particles are preferentially wetted by the ambient fluid, they can adsorb simultaneously onto two adjacent droplets, forming stable bridges that inhibit complete coalescence (Lee et al. Reference Lee, Chan and Mohraz2012; Mohraz Reference Mohraz2016). Such configurations result in a state where droplets remain connected without complete fusion (see figure 1), enhancing adhesion and facilitating the formation of droplet clusters (Thareja & Velankar Reference Thareja and Velankar2007; Vermant et al. Reference Vermant, Vandebril, Dewitte and Moldenaers2008). Nagarkar & Velankar (Reference Nagarkar and Velankar2012) emphasised the sensitivity of bridging to particle wettability, showing that even single particles can sustain stable connections if preferentially wetted by the ambient fluid. French et al. (Reference French, Taylor, Fowler and Clegg2015) directly visualised such bridges using cryo-electron microscopy and confirmed their stability under specific wetting conditions. However, the stability of these structures is also influenced by particle size; for instance, Kaganyuk & Mohraz (Reference Kaganyuk and Mohraz2019) reported that larger particles more readily form robust monolayer bridges in high-internal-phase emulsions.
Bridging phenomenon mediated by particles preferentially wetted by the ambient fluid. Particle bridges between two neighbouring droplets are highlighted with dashed circles.

Despite these advances, a clear understanding of how individual particles mediate the coalescence process at the mesoscopic scale remains challenging, primarily due to experimental limitations in resolving localised three-phase interactions. Key unresolved aspects include the dynamic evolution of particle coverage during coalescence and its quantitative relationship with arrested coalescence, the stability of particle bridges under varying flow conditions and the transition between bridging and coalescence regimes. Furthermore, while previous studies have focused on single droplet pairs, the collective behaviour of droplet groups under external flow and the role of particle coverage in stabilising or destabilising such systems are still unclear. These knowledge gaps limit the predictive design of Pickering emulsions for complex, real-world applications.
To address these issues, this study employs a lattice Boltzmann (LB) method as the numerical tool. Compared with conventional continuum-based methods such as the level-set, phase-field, front-tracking and volume-of-fluid methods (Hirt & Nichols Reference Hirt and Nichols1981; Osher & Sethian Reference Osher and Sethian1988; Unverdi & Tryggvason Reference Unverdi and Tryggvason1992; Jacqmin Reference Jacqmin1999), the LB method avoids explicit interface tracking or reconstruction and handles moving solid particles naturally within a unified framework – features that are essential when simulating multiple particles straddling a dynamic fluid–fluid interface. In particular, front-tracking methods, while capable of accurately tracking interface deformation, encounter difficulties in handling topological changes such as droplet breakup and coalescence, which are central to the present study. Within the LB community, several multiphase formulations have been developed. Among these, the Shan–Chen pseudo-potential and free-energy models (Shan & Chen Reference Shan and Chen1993; Swift et al. Reference Swift, Osborn and Yeomans1995) have significantly advanced our understanding of particle-laden interfaces, including bijel formation and particle jamming (Stratford et al. Reference Stratford, Adhikari, Pagonabarraga, Desplat and Cates2005; Kim et al. Reference Kim, Stratford, Adhikari and Cates2008), particle wetting and capillary interactions at interfaces (Joshi & Sun Reference Joshi and Sun2009), phase transitions in particle-stabilised emulsions (Jansen & Harting Reference Jansen and Harting2011) and the behaviour of nanoparticles at droplet interfaces under shear flow (Frijters et al. Reference Frijters, Günther and Harting2012). Despite these notable contributions, we adopt the colour-gradient model in the present work because, in contrast to the Shan–Chen pseudo-potential or free-energy model, it offers strict mass conservation for each fluid phase, low spurious currents and flexible control of interfacial tension and contact angle, which are critical for accurately capturing the subtle particle–interface interactions in the coalescence dynamics. The model is coupled with a Lagrangian particle-tracking scheme that resolves the motion of individual particles under hydrodynamic and capillary forces, as detailed in § 2. This integrated approach enables us to systematically investigate the roles of particle coverage and wettability in regulating droplet coalescence. While arrested coalescence due to interfacial particle jamming has been observed in experimental studies (Studart et al. Reference Studart, Shum and Weitz2009; Pawar et al. Reference Pawar, Caggioni, Ergun, Hartel and Spicer2011), to our knowledge it has not been reproduced and systematically analysed in particle-resolved numerical simulations. Our recent work (Zhou et al. Reference Zhou, Mao, Liu, Liang and Liu2026) considered the spontaneous coalescence of two initially contacting droplets at the Weber number
$\textit{We} = 0$
, where only total coalescence was observed; arrested coalescence, total stability, particle bridging and the coverage-dependent regime transition were not addressed. The novelty of the present work is threefold: (i) it numerically reproduces the full sequence of coalescence regimes observed experimentally and identifies the critical coverage condition governing the transition from total to arrested coalescence; (ii) it resolves the dynamic mechanisms underlying arrested coalescence under finite-
$\textit{We}$
collision conditions, including the dynamic increase of particle coverage and the resulting jamming; and (iii) it extends the analysis to wettability-dependent particle bridging and droplet-group stability, which were not addressed in previous experimental and numerical studies. Specifically, we systematically examine the transition among total coalescence, arrested coalescence and total stability under varying particle coverages, establish the critical condition for arrested coalescence and analyse the formation and stability of particle bridges under different Weber numbers and contact angles. Furthermore, we extend our analysis to multi-droplet systems under instantaneous shear, elucidating how particle coverage and wettability govern collective droplet behaviour and stabilisation mechanisms.
Simulation set-up for the head-on collision of two particle-coated droplets. Two equal-sized droplets (radius
$R_d$
) are positioned in a square domain of dimensions
$10R_d \times 10R_d$
, separated by an initial distance
$d$
. Monodisperse particles of radius
$R_{\!p}$
are uniformly distributed at the droplet–ambient-fluid interfaces. The particle coverage is defined separately for the left and right droplets as
$C_1$
and
$C_2$
, respectively. The wettability of the particles is characterised by the contact angle
$\theta$
, measured from the droplet side.

2. Problem statement and numerical method
In experimental settings, steric hindrance arising from interfacial particles often prevents direct contact between approaching droplets, typically necessitating external actuation (e.g. electric field or mechanical compression) to induce coalescence (Zhang et al. Reference Zhang, Yang, Yuan, Yao, Chao, Cao, Song, Sauret, Binks and Shum2022b
). To circumvent this limitation and enable systematic investigation, we employ a controlled droplet collision configuration. As illustrated in figure 2, two equal-sized droplets (red fluid) of radius
$R_{d}$
are placed in a square domain of side length
$10R_{d}$
, filled with an ambient fluid (blue fluid). The droplets are initially separated by a distance
$d = R_{d}/2$
and are assigned equal but opposite velocities
$U_{0}$
, resulting in a head-on collision. The prescribed droplet velocity is imposed only as an initial condition, not as a rigid-body constraint. Specifically, all fluid nodes inside the left and right droplets are initialised with uniform velocities
$(U_{0},0)$
and
$(-U_{0},0)$
, respectively, while the ambient fluid is initially at rest; thereafter, the droplets evolve freely under the resolved hydrodynamic and capillary forces (Inamuro et al. Reference Inamuro, Tajima and Ogino2004; Sun et al. Reference Sun, Jia and Wang2013). For simplicity, the two fluids are assumed to have equal densities, with an interfacial tension coefficient
$\sigma$
. Monodisperse solid particles of radius
$R_{p}$
are uniformly distributed along the droplet–ambient-fluid interfaces. Particle wettability is characterised by the contact angle
$\theta$
, measured from the droplet side. The interfacial particle loading is quantified in terms of particle coverage, defined as the ratio of the interfacial length occupied by particles on a single droplet to the total interfacial length of a clean droplet of the same radius (Zhang et al. Reference Zhang, Zhang and Liu2022a
). The particle coverages for the left and right droplets are denoted as
$C_1$
and
$C_2$
, respectively, and may differ between the two droplets.
To simulate the three-phase system comprising the droplets, the ambient fluid and the moving particles adsorbed at the fluid interface, we adopt the LB method recently developed by Zhang et al. (Reference Zhang, Zhang and Liu2022a ). In this method, the colour-gradient model within the multi-relaxation-time framework is employed to simulate immiscible binary fluid flows. Unlike conventional computational fluid dynamics methods, such as the finite difference, finite volume or finite element method, which solve the macroscopic governing equations directly, the LB method tracks the evolution of particle distribution functions at the mesoscopic scale, enabling a statistical reconstruction of the macroscopic flow behaviour.
In the colour-gradient model, two distribution functions,
$f_{r,i}$
and
$f_{b,i}$
, are introduced to represent the red and blue fluids, respectively. Each time step consists of collision, recolouring (to maintain phase segregation) and streaming steps. In the collision step, the interfacial force is modelled using the continuum surface force concept (Brackbill et al. Reference Brackbill, Kothe and Zemach1992)
where
$\sigma$
is the interfacial tension coefficient and
$\kappa$
is the local interface curvature;
$\rho ^N$
is a colour indicator function that distinguishes the fluids, with
$\rho ^N = -1$
for the blue fluid,
$\rho ^N = 1$
for the red fluid, and values in between representing the diffuse interface. This force is then treated as a body force and introduced following Guo et al. (Reference Guo, Zheng and Shi2002). Since the well-established colour-gradient model is thoroughly documented elsewhere (Wen et al. Reference Wen, Li, Yu and Luo2019; Jiang et al. Reference Jiang, Liu, Chen and Tsuji2022; Subhedar Reference Subhedar2022; Saito et al. Reference Saito, Takada, Baba, Someya and Ito2023), its details are not repeated here.
Particle motion is resolved using a Lagrangian approach, in which each particle is subject to three primary forces: the hydrodynamic force (
$\boldsymbol{F}_{\!h}$
), a short-range repulsive force and the capillary force (
$\boldsymbol{F}_{\!c}$
). Each particle is treated as a rigid circular solid body embedded in the fixed Eulerian lattice; its surface is reconstructed from its centre and radius, and the no-slip coupling with the surrounding fluids is enforced via the half-way bounce-back scheme (Ladd Reference Ladd1994). The hydrodynamic force, which incorporates viscous stress and pressure from the surrounding fluids, is computed via the momentum exchange method proposed by Wen et al. (Reference Wen, Zhang, Tu, Wang and Fang2014)
with
Here,
$\boldsymbol{x}_{\!f}$
and
$\boldsymbol{x}_{s}$
denote the adjacent fluid and solid nodes, respectively;
$\boldsymbol{x}_{w}$
is the intersection point between the line connecting
$\boldsymbol{x}_{\!f}$
and
$\boldsymbol{x}_{s}$
and the particle boundary;
$i$
corresponds to the lattice velocity direction, ranging from 0 to 8 in the two-dimensional nine-velocity lattice model (Qian et al. Reference Qian, d’Humières and Lallemand1992), and
$\boldsymbol{e}_{i}$
is the lattice velocity in the
$i$
th direction;
$i^{*}$
indicates the direction opposite to
$i$
, i.e.
$\boldsymbol{e}_{i^{*}}=-\boldsymbol{e}_{i}$
;
$f_i=f_{r,i}+f_{b,i}$
is the total distribution function in the
$i$
th lattice velocity direction; and
$\boldsymbol{u}_{w}$
is the velocity of the particle boundary at
$\boldsymbol{x}_{w}$
. To prevent non-physical overlap between particles or between particles and walls, a short-range repulsive force is incorporated (Glowinski et al. Reference Glowinski, Pan, Hesla, Joseph and Periaux2001). This force is activated when the gap between particles or between a particle and a wall falls below a specified threshold. The threshold is set to three lattice units (Wang et al. Reference Wang, Guo and Mi2014; Zhang et al. Reference Zhang, Liu, Zhang and Wang2020b
), maintaining a resolved fluid region between neighbouring particles in the absence of sub-grid lubrication corrections (Nguyen & Ladd Reference Nguyen and Ladd2002; Ding & Aidun Reference Ding and Aidun2003). This choice is justified because, first, particles adsorbed at the interface move primarily under capillary forces, so their relative velocities are low and near-contact hydrodynamic resistance is minor; and second, conventional lubrication corrections, derived for particles fully immersed in a single-phase fluid, may introduce inconsistencies when applied to particles straddling a deformable fluid–fluid interface, where moving contact lines and capillary deformation are present. The repulsive potential therefore serves only as a short-range regularisation. We acknowledge that explicit lubrication corrections would be necessary in scenarios involving denser particle layers, smaller gaps or stronger near-contact interactions between particles.
The capillary force arises from wetting interactions between the particle and the fluid interface (Connington et al. Reference Connington, Lee and Morris2015) and significantly influences the particle dynamics, particularly in interfacial flows at the microscale (Zhang et al. Reference Zhang, Liu and Zhang2020a ). We evaluate this force using the model developed by Zhang et al. (Reference Zhang, Zhang and Liu2022a )
where
In these expressions,
$\partial \rho ^N / \partial x|_\alpha$
and
$\partial \rho ^N / \partial y|_\alpha$
denote the local partial derivatives at the live node
$\alpha$
, located within the diffuse interface and linked to at least one solid node;
$\boldsymbol{m}_\alpha$
is the local unit normal vector at node
$\alpha$
; and
$\Delta x_\alpha$
,
$\Delta y_\alpha$
are the coordinate increments along the
$x$
- and
$y$
-directions, respectively. The outer summation runs over all discrete line elements, and the inner summation covers all live nodes within the line element
$\beta$
. It should be noted that (2.4) and (2.5) are formulated in two dimensions and cannot be directly extended to three dimensions without further modifications. In two dimensions, the capillary force is evaluated along a grid-aligned zig-zag path approximating the particle boundary within the diffuse interface. Since the three-phase contact line reduces to contact points in a two-dimensional cross-section, this approximation remains sufficiently accurate. In three dimensions, however, the force evaluation would require integration along the entire three-phase contact line on the particle surface, where a zig-zag reconstruction would introduce significant errors in the contact-line length. A three-dimensional extension therefore demands a more accurate reconstruction of both the particle surface and the contact line. For three-dimensional simulations, the implementation strategy proposed by Zhang et al. (Reference Zhang, Liu and Zhang2020a
) should be adopted. In addition to the above forces governing translational motion, the corresponding torques must be computed to resolve the particle rotation. Detailed formulations for torque calculation and the complete solution of particle motion can be found in Zhang et al. (Reference Zhang, Liu and Zhang2020a
).
The collision dynamics between two equal-sized droplets is often characterised by the Weber number (
$\textit{We}$
) and the Ohnesorge number (
$\textit{Oh}$
), defined respectively as
where
$ D = 2R_d$
is the droplet diameter, and
$ U_{{rev}} = 2U_0$
is the relative velocity between the droplets. To focus on the regulatory role of the particles, the fluid properties are held constant in all LB simulations: droplet dynamic viscosity
$ \mu _r = 0.2$
, droplet density
$ \rho _r = 1.0$
and interfacial tension coefficient
$ \sigma = 0.02$
. The viscosity ratio of the ambient fluid to the droplet phase is set as
$ \mu _b / \mu _r = 1/3$
. The droplet radius is fixed at
$ R_d = 150$
lattice units, and the particle radius is
$ R_{\!p} = 10$
, a grid resolution previously validated for accurately capturing capillary forces (Zhang et al. Reference Zhang, Zhang and Liu2022a
). With these parameters, the Ohnesorge number remains constant at
$\textit{Oh} = 0.082$
throughout this study. Unless stated otherwise, particles are assigned neutral wettability, corresponding to a contact angle of
$ \theta = 90^\circ$
.
The Weber number is varied by changing the imposed initial collision velocity
$U_0$
, while all other parameters are kept unchanged. It is worth noting that the chosen interfacial tension coefficient,
$\sigma =0.02$
, represents a typical lattice value for interfacial flows in LB simulations, rather than a physical one; its physical interpretation depends on the chosen reference scales for length, time and mass (Liu et al. Reference Liu, Zhang and Valocchi2015; Liu & Zhang Reference Liu and Zhang2017; Zhang et al. Reference Zhang, Liu, Zhang and Wang2020b
; Li et al. Reference Li, Liu, Wu, Cai, Xi and Jiang2022). This value is specifically selected to achieve the target Weber number, Ohnesorge number and viscosity ratio, while simultaneously ensuring that the relaxation times for both fluids remain within a numerically stable range (approximately 0.53–1.5). A relaxation time that is too small leads to numerical instability, whereas an excessively large value would introduce excessive compressibility effects. Consequently, this choice embodies a compromise between numerical stability and physical fidelity. With the adopted parameters, all relevant dimensionless groups are correctly reproduced. Accordingly, the conclusions drawn from this work should be interpreted in terms of these dimensionless groups, rather than the absolute lattice value of the interfacial tension coefficient. The following boundary conditions are applied: periodic boundaries in both the
$ x$
- and
$ y$
-directions; no-slip conditions on particle surfaces, implemented using the half-way bounce-back scheme (Ladd Reference Ladd1994); and the wetting boundary condition proposed by Xu et al. (Reference Xu, Liu and Valocchi2017) to enforce the desired contact angle
$ \theta$
.
Finally, we clarify two aspects of the capillary-force treatment: its distinction from the wetting boundary condition, and its relation to existing approaches in the literature. The wetting boundary condition is enforced on the fluid side; it prescribes the desired contact angle by adjusting the local interface orientation at the fluid nodes neighbouring the particle surface. This condition therefore modifies the local interface configuration but does not directly provide the capillary force acting on the solid particle. The capillary force is exerted by the fluid–fluid interface on the particle at the moving contact line, that is, it acts on a different object than the wetting condition. Thus, an explicit capillary-force treatment is still required in addition to the wetting boundary condition, as commonly done in previous works (Connington et al. Reference Connington, Lee and Morris2015; Liu et al. Reference Liu, Gao and Ding2017). Although conceptually related to the diffuse-interface LB model of Connington et al. (Reference Connington, Lee and Morris2015), which also introduces an interface-induced capillary force, our approach differs by deriving this force from the equilibrium diffuse-interface distribution of interfacial tension, thereby avoiding empirically prescribed force distributions and establishing a more direct link to the resolved interfacial physics. Compared with reduced-order methods such as the fast interface particle interaction (Gu & Botto Reference Gu and Botto2020) and front-tracking techniques (Luo et al. Reference Luo, Qi and Bai2022; Shang et al. Reference Shang, Luo, Bai and Hu2023), the present fully resolved approach captures finite-size particles, moving contact lines and full hydrodynamic coupling, at the cost of simulating fewer particles.
3. Results and discussion
Before presenting the main results, we first assess the accuracy and robustness of the present numerical method through several validation and resolution studies, which are provided in the appendices. Appendix A validates the colour-gradient LB model against an established phase-field LB model for clean-droplet coalescence; Appendix B examines the grid resolution required for the simulations conducted below; Appendix C compares selected two-dimensional results with their three-dimensional counterparts to assess the qualitative consistency of the particle-mediated coalescence behaviours; and Appendix D validates the particle representation, wetting boundary condition and capillary-force model through a single-particle adsorption test at a flat fluid–fluid interface. Having established the reliability of the numerical approach, we now systematically investigate the coalescence dynamics of particle-coated droplets, focusing on three aspects: the influence of particle coverage on the transition among total coalescence, arrested coalescence and total stability (§ 3.1); the role of particle wettability in modulating collision outcomes, particularly bridge formation and stability (§ 3.2); and the extension to a polydisperse droplet group under initial shear flow, to elucidate collective coalescence and stabilisation behaviours (§ 3.3).
3.1. Influence of particle coverage
Particles adsorbed at the droplet interface not only increase resistance to the coalescence process but also create a physical barrier that hinders total coalescence. In this section, we examine the coalescence behaviour of two colliding droplets under varying particle coverages, adjusted by changing the number of interfacial particles.
Coalescence dynamics of droplet pairs under different Weber numbers (
$\textit{We}$
) and particle coverage conditions (
$C_1, C_2$
): (a) clean droplets at
$\textit{We}=2$
; (b) particle-coated droplets (
$C_1=C_2=0.68$
) at
$\textit{We}=2$
; (c) clean droplets at
$\textit{We}=60$
; (d) particle-coated droplets (
$C_1=C_2=0.68$
) at
$\textit{We}=60$
. The dimensionless time is defined as
$t^* = t / \sqrt {\rho _{r} R_d^3 / \sigma }$
.

Figure 3. Long description
Panel A: Sequence of images showing the coalescence of clean droplets at a specific Weber number. The droplets start separate, come together, form a liquid film, and eventually merge into a single larger droplet. Panel B: Sequence of images showing the coalescence of particle-coated droplets at a specific Weber number. The droplets start separate, come together, and remain distinct with particles on their surfaces. Panel C: Sequence of images showing the coalescence of clean droplets at a different Weber number. The droplets start separate, come together, form an elongated shape, and eventually merge into a single larger droplet. Panel D: Sequence of images showing the coalescence of particle-coated droplets at a different Weber number. The droplets start separate, come together, form an elongated shape with particles on their surfaces, and eventually merge into a single larger droplet.
It is noteworthy that simulating such a complex multiphase system necessitates certain compromises to maintain computational tractability. Employing realistic particle sizes would require an intractable number of particles to cover the droplet surface, rendering full-scale simulation infeasible. Taking a representative experimental droplet radius of approximately
$100\ {\unicode{x03BC}} \mathrm{m}$
and a particle radius of approximately
$0.75\ {\unicode{x03BC}} \mathrm{m}$
, the radius ratio is of order
$10^2$
. Retaining this ratio in a particle-resolved LB simulation with
$R_{\!p} = 10$
lattice units would require the droplet radius to exceed
$10^3$
lattice units and the computational domain to contain more than
$10^8$
lattice nodes, even in two dimensions. A corresponding three-dimensional simulation would be far beyond affordable computational cost. The present simulations therefore adopt a reduced droplet-to-particle size ratio
$(R_{\!p}/R_d = 1/15)$
and a two-dimensional set-up. We acknowledge that the particle-to-droplet size ratio influences local packing, interface curvature and bridge geometry, and thus that the quantitative findings of this work are specific to the droplet-to-particle size ratio used. Furthermore, since droplet contact and coalescence in our simulations are primarily driven by a collision mechanism, the choice of the Weber number (
$\textit{We}$
) requires clarification. Based on the aforementioned parameter settings, we select
$\textit{We} = 2$
and
$\textit{We} = 60$
as representative of the low and high inertia regimes, respectively, to investigate the resulting collision dynamics. Figure 3 illustrates the combined effects of the Weber number and particle coverage on the collision outcome.
At a low Weber number (
$\textit{We}=2$
), two clean droplets approach each other and initiate coalescence as the intervening liquid film thins and ruptures, as depicted in figure 3(a). During this process, a portion of the ambient fluid remains trapped within the coalescing droplet. In contrast, a markedly different behaviour is observed when each droplet interface is coated with 32 particles, corresponding to the particle coverages of
$C_{1}=C_{2}=0.68$
, as shown in figure 3(b). Consistent with previous studies (Aarts & Lekkerkerker Reference Aarts and Lekkerkerker2008; Shen et al. Reference Shen, Chen, Yu and Liu2020), interfacial particles resist droplet deformation and enhance the dissipation of kinetic energy inside the droplet. As a result, during low-
$\textit{We}$
collisions of droplets with high particle coverage, the combined effects of spatial obstruction by the particles and the inherently low kinetic energy lead to limited interface deformation. This insufficient deformation prevents the emergence of an adequate particle-free region necessary for effective interfacial contact and coalescence. To avoid non-coalescence outcomes arising from insufficient collision energy, simulations with very low Weber numbers are excluded from our systematic investigation.
At a higher Weber number (
$\textit{We}=60$
), a larger volume of ambient fluid is retained inside the coalescing clean droplet compared with the
$\textit{We}=2$
case, as visible in figure 3(c) at
$t^*=6.16$
. This occurs because the shorter drainage time of the liquid film during high-speed collision hinders complete expulsion of the intervening fluid, leading to more entrapment of the ambient fluid. A similar entrapment phenomenon is observed when particles are present at the droplet interfaces (figure 3
d at
$t^*=6.16$
), with the key distinction that the droplet interior encapsulates not only ambient fluid but also a number of particles. Owing to their neutral wettability, most of these particles adsorb at the interface of the entrapped ambient fluid, resulting in a double emulsion structure (Clegg et al. Reference Clegg, Tavacoli and Wilde2016; Whitby & Parthipan Reference Whitby and Parthipan2019). This mechanism is consistent with experimental observations: when particle-stabilised oil droplets are brought into close contact, their interfaces flatten locally (Whitby et al. Reference Whitby, Lotte and Lang2012). As the flattened region expands and the liquid film thins, rupture occurs before some particles can escape, leading to their encapsulation within the coalesced droplet. This inward encapsulation follows from the topological pathway of film rupture and interface closure: as the two interfaces merge and pinch off, particles near the contact region become entrained within the newly formed internal interface. In this sense, the outward expulsion of particles reported in other systems under different mechanical and geometric conditions (Poulichet et al. Reference Poulichet, Huerre and Garbin2017; Gu & Botto Reference Gu and Botto2018) is not contradictory to the present observations, but rather reflects distinct pathways occurring under different configurations.
The physical origin of this entrapment is that the inertial time scale of the collision becomes shorter than the film-drainage time at high
$\textit{We}$
, causing the interface to close before the intervening fluid can be fully expelled. The central structures shown in the rightmost column of figures 3(c) and 3(d) are therefore entrapped pockets of the ambient fluid, not gas bubbles, and should not be interpreted as a final steady state (both snapshots are at
$t^*=6.16$
). Similar transient entrapment during rapid coalescence has been experimentally visualised by Fezzaa & Wang (Reference Fezzaa and Wang2008) using ultrafast X-ray phase-contrast imaging and theoretically predicted in inviscid coalescence models (Eggers et al. Reference Eggers, Lister and Stone1999; Duchemin et al. Reference Duchemin, Eggers and Josserand2003). It should be noted, however, that our two-dimensional set-up may overemphasise the quantitative extent of entrapment compared with a three-dimensional system, where out-of-plane drainage pathways facilitate more efficient expulsion of the intervening fluid. Since the focus of this section is the effect of particle coverage on the external droplet morphology, and excessive internal entrapment of particles and fluid would complicate the quantitative analysis of particle coverage, a very high Weber number is not adopted in the subsequent simulations.
Comparison of droplet morphologies under different particle coverages from (a–d) the experiments of Pawar et al. (Reference Pawar, Caggioni, Ergun, Hartel and Spicer2011) and (e–h) the present simulations. Note that the particle coverages for the left (
$\varPhi _1$
) and right (
$\varPhi _2$
) droplets in the experimental panels are consistent with the notations in Pawar et al. (Reference Pawar, Caggioni, Ergun, Hartel and Spicer2011).

Through systematic trial-and-error testing, a moderate Weber number of 13 is adopted for investigating droplet coalescence behaviour across varying particle coverages. This value is chosen as a compromise: it is low enough to avoid excessive ambient-fluid and particle entrapment, yet high enough to provide sufficient impact energy to drive the droplets into contact and generate the interface deformation needed to explore the coverage-dependent regime transition. Under this condition, the droplets approach and deform upon contact, producing a compressed interfacial configuration qualitatively similar to the state induced by micropipette-driven contact in the experiments of Pawar et al. (Reference Pawar, Caggioni, Ergun, Hartel and Spicer2011). More importantly, at this
$\textit{We}$
, most droplets with particle coverage below 0.8 undergo complete coalescence with negligible particle entrapment, thereby satisfying the key assumption underlying the derivation of (3.2), i.e. the total number of interfacial particles remains constant during coalescence. To further validate the chosen parameters, we reproduce the droplet coalescence experiments conducted by Pawar et al. (Reference Pawar, Caggioni, Ergun, Hartel and Spicer2011), who employed capillary suction to precisely control interfacial particle coverage. Figure 4 compares the droplet morphologies from their experiments (panels a–d) with our simulation results (panels e–h) for four coverage conditions. As shown in the figure, the simulations reproduce the same coverage-dependent sequence observed experimentally: total coalescence into a circular shape at low coverage (panels d iii and h iii), partially arrested coalescence into a ‘potato-like’ morphology at intermediate coverage (panels c iii and g iii), a stable ‘dumbbell’ shape at higher coverage (panels b iii and f iii) and complete stability with no coalescence at very high coverage (panels a iii and e iii). We emphasise that this comparison serves as a qualitative consistency check rather than a one-to-one quantitative validation, as the experiments and simulations differ in dimensionality, driving protocol and particle-to-droplet size ratio. The time instances shown in the simulated panels are not arbitrary: the three columns correspond to the initial configuration, the moment of closest approach (or shortly after coalescence begins) and the final steady state, respectively. Despite quantitative differences, the present simulations capture the essential particle-crowding mechanism responsible for the coverage-dependent regime transition observed experimentally.
Interfacial evolution of clean droplets after collision: (a) from initial contact (
$t^{\text{*}} = 0$
) to an intermediate stage of coalescence (
$t^{\text{*}} = 4.6$
); (b) local view of the liquid bridge from
$t^{\text{*}} = 1.2$
to
$t^{\text{*}} = 3.5$
. In (b),
$h_{\textit{max}}$
and
$h_{\textit{min}}$
denote the maximum and minimum thicknesses of the liquid film, respectively.

Next, we examine the coalescence dynamics across varying particle coverages. Figure 5 illustrates the interfacial evolution following the collision of clean droplets at
$\textit{We}=13$
, where the black solid lines (
$\rho ^{N}=0$
contour) represent the liquid–liquid interface. As expected, significant deformation occurs at the droplet contact interface upon collision. From
$t^{\text{*}}=1.2$
to
$t^{\text{*}} = 3.1$
, the interfaces deform progressively, with the central film thickness (
$h_{\textit{max}}$
) exceeding that at the rims (
$h_{\textit{min}}$
) by
$t^{\text{*}}=3.1$
. Coalescence initiates as
$h_{\textit{min}}$
reaches a critical thickness, resulting in the entrapment of the intervening ambient fluid within the merged droplet. To further quantify the effect of particle coverage on film drainage, we monitor the temporal evolution of the normalised film thickness, denoted as
$h_c/R_d$
, where
$h_c$
is measured along the line connecting the two droplet centres. As shown in figure 6, the clean droplets exhibit a rapid decrease in
$h_c/R_d$
upon approach, reflecting efficient expulsion of the intervening ambient fluid. When particles are present at the droplet interfaces, however, the drainage rate is substantially reduced. For a moderate coverage of
$C_1=C_2=0.71$
, the film still thins appreciably, yet
$h_c/R_d$
remains consistently larger than that of the clean case at corresponding times. At a higher coverage of
$C_1=C_2=0.815$
, the film thinning is strongly suppressed, and
$h_c/R_d$
stays at a significantly greater thickness throughout the entire observation period. This coverage-dependent retardation of film drainage provides direct quantitative evidence for the steric hindrance imposed by the interfacial particle layer.
Temporal evolution of the normalised film thickness
$h_c/R_d$
for clean droplets and particle-coated droplets with different coverages.

Droplet collision and coalescence processes under different particle coverages: (a)
$C_{1}=0.44, C_{2}=0.57$
, (b)
$C_{1}=0.74, C_{2}=0.72$
and (c)
$C_{1}=0.85, C_{2}=0.51$
.

Having established this quantitative film-drainage behaviour, we now examine the corresponding collision outcomes for particle-coated droplets under three distinct coverage conditions in figure 7. Evidently, the initial deformation of the contact interface for particle-coated droplets resembles that of clean droplets. However, at moderate (
$C_{1}=0.74, C_{2}=0.72$
) and low (
$C_{1}=0.44, C_{2}=0.57$
) particle coverages, the coalescence mechanism shifts: it no longer initiates solely from the rim rupture of the liquid film but is triggered by an imbalance in the capillary forces acting on the particles. A detailed visualisation of this particle-induced coalescence process is provided in figure 8.
To clarify this mechanism, we define the interface where a particle is originally adsorbed as the ‘original interface’, and the opposing droplet interface that later contacts the particle as the ‘later interface’. At low particle coverage, e.g.
$C_1 = 0.44, C_2 = 0.57$
(figures 7
a and 8
a), the original interface is sparsely populated with neutrally wetting particles in equilibrium. During film thinning, when a particle contacts the later interface, the capillary force exerted by the later interface can exceed that from the original interface, disrupting the equilibrium and drawing the particle toward the later interface. This capillary force becomes the primary driver for coalescence, culminating in the merging of the two interfaces. At moderate particle coverage, e.g.
$C_1 = 0.74, C_2 = 0.72$
(figures 7
b and 8
b), significant deformation and stretching of the droplet interface after collision create a sufficiently large particle-free region, enabling effective contact between the later interface and particles. The key difference from the case with low particle coverage lies in particle retention: particles are only internalised when the liquid films on both their upper and lower sides rupture nearly simultaneously, as seen in figure 7(a). At very high particle coverage, e.g.
$C_1 = 0.85, C_2 = 0.51$
(figure 7
c), the droplet cannot expose a sufficient particle-free region even under significant deformation, preventing interfacial contact. Furthermore, interparticle repulsion prevents the deformed interfaces from achieving the proximity required for coalescence. Over time, the deformed interfaces relax, and the droplets return to their original circular shapes, remaining in a state of total stability.
Another noteworthy phenomenon is arrested coalescence, which occurs under moderate particle coverage. As shown in figure 7(a), at low particle coverage, coalesced droplets deform and eventually stabilise into a circular shape, similar to clean droplets. In contrast, with increased particle loading (figure 7 b), coalescence is arrested before the droplet can relax into a circle. The direct mechanism is particle crowding and jamming at the shrinking interface, which opposes further capillary-driven shape relaxation. After the liquid bridge forms, capillarity acts as the driving force that tends to reduce the interfacial area and restore a circular droplet shape. Since the number of interfacial particles remains nearly constant, this interfacial contraction dynamically increases the particle coverage. When the particle layer becomes sufficiently crowded, it generates mechanical resistance against further contraction and opposes capillary-driven shape relaxation. Arrest occurs once the particles can no longer rearrange to accommodate additional interfacial shrinkage (figure 7 b). This interpretation is consistent with the jamming mechanism discussed in the context of particle-laden interfaces (Stratford et al. Reference Stratford, Adhikari, Pagonabarraga, Desplat and Cates2005).
Role of individual particles in droplet coalescence under the particle coverages of (a)
$C_{1}=0.44, C_{2}=0.57$
and (b)
$C_{1}=0.74, C_{2}=0.72$
.

Evolution of velocity vector fields and
$y$
-component velocity contours during droplet coalescence under particle coverages of (a)
$C_{1}=0.44, C_{2}=0.57$
and (b)
$C_{1}=0.74, C_{2}=0.72$
.

Figure 9 compares the velocity vector fields during total and arrested coalescence of droplets, corresponding to particle coverages of
$C_{1}=0.44, C_{2}=0.57$
and
$C_{1}=0.74, C_{2}=0.72$
, respectively. Given that the arrest is closely associated with droplet deformation in the
$y$
-direction, we also present the
$y$
-component of velocity as a contour plot in this figure. After initial coalescence, the liquid bridge expands rapidly in the
$y$
-direction, generating high-velocity regions. Under higher particle coverage (figure 9
b), the dense particle arrangement prevents further interfacial deformation by
$t^* = 4.0$
, causing the velocity at the ends of the liquid bridge to diminish to nearly zero. The subsequent slow redistribution of particles allows the droplet to stabilise into a ‘dumbbell’ shape by
$t^* = 6.2$
. In contrast, under lower particle coverage (figure 9
a), a sufficiently particle-free interface allows particle motion, enabling the droplet to escape the dumbbell shape. It is noted that the elliptical droplet at
$t^* = 5.2$
is not the final form, and will contract, oscillate and eventually stabilise into a circular shape under interfacial tension. In summary, high particle coverages impede the conversion of surface energy to kinetic energy during coalescence, maintaining the system in a lower-energy state.
To further elucidate the role of particle coverage in droplet coalescence, it is essential to identify the critical condition for arrested coalescence. In physical systems, interparticle repulsion typically arises from van der Waals, electrostatic and solvation interactions, whereas in our simulations, such repulsion is explicitly modelled to avoid particle overlap and maintain finite separation between densely packed particles at fluid interfaces. Following established numerical practices, the minimum interparticle distance is set to three lattice units to accurately resolve hydrodynamic interactions with the surrounding fluids (Zhang et al. Reference Zhang, Liu and Zhang2020a
). Under these conditions, the maximum attainable particle coverage for a single droplet of initial radius
$R_d = 150$
is determined to be
$C = 0.87$
, corresponding to 41 adsorbed particles. Theoretically, arrested coalescence occurs if the total interfacial length occupied by particles on both droplets before coalescence exceeds the maximum interfacial length they can occupy on a single, fully coalesced circular droplet. This criterion is expressed as (Pawar et al. Reference Pawar, Caggioni, Ergun, Hartel and Spicer2011)
where the left side represents the interfacial length occupied by particles after the droplets have fully coalesced into a circular shape, while the right side corresponds to the total interfacial lengths occupied by particles on the two separate droplets before coalescence. Given the equal radii of both droplets (
$R_1=R_2$
) in our simulations, this expression simplifies to
To determine the critical condition for arrested coalescence, a total of 110 numerical simulations are performed with the single-droplet particle coverage ranging from 0.40 to 0.85. Figure 10(a) shows the corresponding coalescence phase diagram in the (
$C_1$
,
$C_2$
) parameter space, illustrating the final morphological states after droplet collision (the regime classification is detailed in Appendix E). As expected, the diagram is symmetric about the line
$C_1 = C_2$
, reflecting the interchangeable roles of the two droplet coverages. Total coalescence, leading to a circular merged droplet (see examples marked with black circles in figure 10
b), is found to be the dominant outcome, consistent with previous experimental observations (Pawar et al. Reference Pawar, Caggioni, Ergun, Hartel and Spicer2011). However, a distinct wedge-shaped region (marked by red triangles) emerges in the phase diagram under conditions of higher particle coverage. Within this region, droplet coalescence is arrested, resulting in stable non-circular shapes. The final morphology is highly sensitive to particle coverage – even a slight variation can lead to markedly different equilibrium shapes, as shown in the two representative cases highlighted by red triangles in figure 10(b). Moreover, the boundary between total and arrested coalescence observed in the phase diagram agrees well with the theoretical prediction from (3.2), confirming that arrest occurs only when the total particle coverage exceeds a critical threshold. As the particle coverage increases further, droplets become completely stabilised against coalescence when the single-droplet particle coverage exceeds approximately 0.8. This threshold is slightly lower than the theoretical maximum of 0.87, suggesting an enhanced anti-coalescence stability in the simulations. The discrepancy may be attributed to two primary factors: (i) the difficulty in achieving a perfectly uniform particle distribution at the droplet interface, and (ii) limited numerical resolution, which may cause local interparticle distances to fall slightly below the repulsive threshold, effectively increasing the local packing density and thus hindering coalescence.
(a) Coalescence phase diagram of droplets under different particle coverages, and (b) final droplet morphologies at several representative particle coverages. In (a), the red dashed line, calculated from (3.2), represents the critical threshold between arrested and total coalescence.

Two additional features in figure 10(b) are worth noting in some coalesced cases: asymmetry of the arrested morphology (e.g. the third panel) and persistent inhomogeneity of particle coverage (e.g. the first panel). For the asymmetric case, although the two droplets have the same nominal initial coverage and initially equally spaced particles, the exact positions of individual particles relative to the approaching direction are not identical. During coalescence, such local differences lead to unequal resistance to interface deformation, which is amplified by capillary-driven flow, steric constraints and interfacial crowding, ultimately producing the observed asymmetric shape. The persistent inhomogeneity, on the other hand, arises because the capillary-driven relaxation of the interface proceeds faster than particle rearrangement. As the interface contracts, particles become increasingly crowded. Once the local concentration reaches a critical jamming threshold, further deformation is arrested, ‘freezing’ the non-uniform distribution into a path-dependent configuration. The final morphology is therefore not a uniformly equilibrated particle layer, but a mechanically arrested state determined by the initial particle arrangement and the subsequent coalescence history.
To further quantify the effect of interfacial particles on the effective mechanical response of the droplet interface, we estimate the reduction in effective interfacial tension due to the presence of particles. We select a representative total coalescence case with high particle coverage (the second panel in figure 10
b) that exhibits a nearly circular shape with approximately uniform particle distribution. At steady state, we measure the inner–outer pressure difference and estimate the effective interfacial tension via the Laplace law using the local interface curvature. The results show a reduction of approximately
$40\,\%$
relative to the clean interface (from 0.02 to 0.01198 in lattice units), consistent with the particle–particle interaction mechanism reported in previous studies (Gu & Botto Reference Gu and Botto2020; Luo et al. Reference Luo, Qi and Bai2022). This reduction reflects the mechanical resistance of the crowded particle layer against capillary-driven contraction, which is consistent with the jamming interpretation of arrested coalescence discussed above.
3.2. Influence of particle wettability
In § 3.1, the coalescence of particle-coated droplets was systematically investigated under neutral wetting conditions for varying particle coverages. Here, we examine how the variation in the particle wettability influences the collision and coalescence behaviour of droplets, especially under non-neutral wetting conditions. To isolate the influence of the contact angle, simulations are conducted with 28 particles uniformly distributed at the interface of each droplet, corresponding to a particle coverage of
$C_1 = C_2 = 0.58$
. Unless otherwise stated, a Weber number of 13 is maintained, and all parameters are held constant except for the contact angle, which is varied from
$\theta = 70^\circ$
to
$135^\circ$
.
Droplet collision and coalescence dynamics at
$C_1 = C_2 = 0.58$
and
$\textit{We} = 13$
for contact angles of (a)
$\theta = 70^\circ$
and (b)
$\theta = 110^\circ$
, with corresponding close-ups of particle–interface interactions in (c) and (d).

First, two representative contact angles,
$\theta =70^\circ$
and
$\theta =110^\circ$
, are selected for analysis. Figures 11(a) and 11(b) illustrate the overall process of droplet collision and coalescence under these two wetting conditions. As shown in figure 11(a), for
$\theta =70^\circ$
, the two droplets undergo total coalescence after collision, resulting in a single merged droplet that fully encapsulates an individual particle. In contrast, at
$\theta =110^\circ$
, the droplets reach a steady state in which they neither coalesce nor separate, but remain connected via a bridge consisting of three particles, as depicted in figure 11(b). To elucidate the origin of these morphological differences, figures 11(c) and 11(d) provide a detailed view of the particle–interface interactions at the two contact angles. A comparison with figure 8(a) reveals that particles preferentially wetted by the droplet phase promote coalescence through a mechanism similar to that of neutrally wetting particles. Specifically, as shown in figure 11(c), their affinity for the droplet phase accelerates migration into the droplet interior, thereby enhancing the coalescence process. Conversely, particles preferentially wetted by the ambient fluid (figure 11
d) inhibit coalescence due to repulsive interactions with the droplet phase. In this case, particles ‘adsorb’ simultaneously onto both interfaces, significantly restricting their mobility and forming a barrier that hinders the drainage of the interstitial liquid film. As a result, the ambient fluid is expelled exclusively through the regions above and below the particles. Notably, this process is accompanied by the re-establishment of bridging as ‘new’ particles (e.g. the particle 1 at
$t^{*}=2.3$
in figure 11
d) come into contact with the opposing interface. Consequently, a partially trapped liquid film forms between the bridged particle pairs, further delaying ambient-fluid drainage. The inability of the droplets to fully drain the intervening liquid films prevents direct contact and coalescence, ultimately leading to the formation of a stable, particle-bridged droplet configuration.
As discussed above, particle bridging not only prevents droplet coalescence under significant compression but also sustains a permanent connection between droplets during subsequent relaxation (figure 11 b). In this state, the droplets neither separate nor coalesce because the forces acting on the particle surfaces are in equilibrium. According to Binks & Lumsdon (Reference Binks and Lumsdon2000), the energy barrier for particle desorption from the interfaces is inherently high, thereby inhibiting particle removal and enhancing system stability. Moreover, the sandwich-like structure formed by the particles and the interfaces effectively suppresses outflow of the liquid film while preventing inflow of external fluids, further contributing to the unique droplet morphology.
Phase diagram of droplet morphology after collision for different Weber numbers and contact angles. A dashed box is included to highlight three representative cases shown below in figure 13.

In § 3.1, we demonstrated that an increase in the Weber number enhances kinetic energy during droplet collision, promoting its conversion to surface energy. This leads to longer-lasting flattened interfaces and increases the probability of particle contact and bridge formation. Here, we further investigate the combined effects of Weber number and contact angle on droplet coalescence, and the corresponding phase diagram is presented in figure 12. It is clear that for
$\theta \leqslant 90^\circ$
, the approaching interfaces tend to contact each other and eventually coalesce under capillary forces. Therefore, the following analysis focuses primarily on the cases with
$\theta \gt 90^\circ$
.
Snapshots of liquid film drainage and the formation of particle bridges at
$\theta = 106^\circ$
for (a)
$\textit{We}=2$
, (b)
$\textit{We}=5$
and (c)
$\textit{We}=10$
.

As illustrated in figure 12, for
$90^\circ \lt \theta \leqslant 100^\circ$
, the collision outcome is governed by the Weber number. At
$\textit{We} = 1.4$
, droplets form a stable single-particle-bridge structure, while
$2 \leqslant \textit{We} \leqslant 15$
, higher kinetic energy destabilises the bridging structure, leading to complete droplet coalescence. This indicates that within this contact-angle interval, the input of kinetic energy is the key factor that suppresses bridging and promotes coalescence. When the contact angle increases to
$\theta = 106^\circ$
, a notable transition occurs: as the Weber number increases, the post-collision droplet structure evolves from single-particle bridging to coalescence, and then to multi-particle bridging. Figure 13 depicts a close-up view of the droplet collision process for three representative Weber numbers within the dashed box in figure 12. At
$\textit{We} = 2$
(figure 13
a), the droplets approach each other slowly with curved interfaces and exhibit negligible deformation, ultimately forming a stable bridged configuration. Under such low-
$\textit{We}$
conditions, the limited kinetic energy is primarily dissipated by viscous effects, with very little converted into surface energy. At
$\textit{We} = 5$
(figure 13
b), only a single particle bridges the two interfaces until
$t^*=6.96$
. Although this particle hinders the close approach of the flattened interfaces, the interfaces regain curvature during subsequent relaxation, enabling adjacent particle-free regions to contact and coalesce. At
$\textit{We} = 10$
(figure 13
c), the collision induces more pronounced interface flattening, which allows multiple particles to simultaneously contact both interfaces and form multi-particle bridges, thereby enhancing the mechanical stability of the droplet pair. These results indicate that a single-particle bridge provides insufficient stability: the fluid interface near the particle is not fully shielded, and the liquid film in adjacent regions may rupture under flow, allowing coalescence to proceed. Thus, multiple particles are required to effectively prevent coalescence by collectively bridging the interfacial structure.
When
$110^\circ \leqslant \theta \leqslant 130^\circ$
and
$5 \leqslant \textit{We} \leqslant 15$
, bridging consistently occurs after droplet collision. As the contact angle further increases, the portion of each particle initially submerged in the droplet penetrates further into the ambient fluid. Owing to the lower viscosity of the ambient fluid, viscous resistance on the particles decreases, allowing them to move more freely along the interface during collision. Some particles may even migrate toward the nearest interfacial region between the two droplets prior to coalescence. At
$\textit{We} = 2$
(figure 14
a), insufficient kinetic energy prevents significant particle rearrangement, resulting in non-coalescence. However, when
$\theta = 135^\circ$
and
$\textit{We} \leqslant 10$
, particle motion becomes more pronounced, leading to greater accumulation of particles in the narrow gap between droplets before collision. This increased steric hindrance further inhibits coalescence, as illustrated in figure 14(b). Notably, at
$\textit{We} = 15$
(figure 14
c), a unique behaviour is observed: the droplets separate after colliding and forming a particle-bridge structure, suggesting that a larger contact angle does not necessarily imply higher stability within the bridging configuration. The observation is consistent with French et al. (Reference French, Taylor, Fowler and Clegg2015), who showed that an excessively large contact angle reduces the adhesion energy of particles at the interface, thereby weakening the stability of the particle-bridge structure. From our results, relatively stable particle-bridge structures are found to form within the ranges
$110^\circ \leqslant \theta \lt 135^\circ$
and
$5 \leqslant \textit{We} \leqslant 15$
.
It is important to note that, in the present simulations, no persistent bridge is observed for
$\theta \lt 90^\circ$
within the tested two-dimensional collision configuration and parameter range. However, particles with
$\theta \lt 90^\circ$
still protrude from the fluid–fluid interface and therefore, in principle, could participate in bridging under different conditions. We cannot exclude the possibility of bridging for
$\theta \lt 90^\circ$
in other geometries, with different particle properties or under alternative forcing conditions. Such cases, however, lie outside the scope of the present study and have not been systematically examined here.
Non-coalescence behaviour after droplet collision at different contact angles and Weber numbers: (a)
$\theta = 120^\circ , \textit{We} = 2$
; (b)
$\theta = 135^\circ , \textit{We} = 10$
; and (c)
$\theta = 135^\circ , \textit{We} = 15$
.

3.3. Collision and coalescence of droplet group
In practical applications, emulsion droplets typically exist as droplet groups. Building upon the binary droplet collision and coalescence dynamics discussed in previous sections, we extend our investigation to a droplet group consisting of 12 polydisperse droplets subjected to an initial instantaneous shear flow. This section aims to numerically examine the coalescence and bridging phenomena that arise within such a droplet group under controlled hydrodynamic conditions.
Schematic diagram of the computational domain (
$L_x \times L_y = 2000 \times 1000$
) and initial droplet and velocity distributions in the droplet-group simulations. Here,
$U_0$
is the initial velocity imposed at the top and bottom boundaries.

The initial geometric configuration is shown in figure 15, consisting of twelve randomly distributed droplets with radii spanning 50–100 lattice units. The average radius,
$R_{{ave}}=75$
, is adopted as the characteristic length scale for the droplets. Each droplet interface is uniformly covered with a prescribed number of particles, with particle coverage varying across droplets. To quantitatively characterise the overall particle distribution, we define an average particle coverage
$C_{ave}$
as the ratio of the total interfacial length occupied by particles to the total interfacial length of the corresponding clean droplets under identical conditions. Simulations are performed in a computational domain of dimensions
$L_x\times L_y=2000\times 1000$
. The boundary conditions are specified as follows: no-slip conditions are imposed at all solid surfaces, including the particle surfaces and the upper and lower domain boundaries, using the half-way bounce-back scheme, while periodic boundary conditions are applied along the left and right boundaries.
Coalescence of the droplet group at average particle coverages of (a)
$C_{ave} = 0$
, (b)
$C_{ave} = 0.28$
, (c)
$C_{ave} = 0.64$
and (d)
$C_{ave} = 0.75$
.

In the absence of external forcing, both the droplet group and the adsorbed particles remain stationary. To trigger relative motion, collision and potential coalescence among the droplets, an instantaneous shear flow is applied at the initial moment, perturbing the quiescent state and initiating hydrodynamic interactions. The initial velocity distribution in the flow field is illustrated in figure 15. Since shear-induced coalescence is frequently encountered in industrial processes (Thivilliers-Arvis et al. Reference Thivilliers-Arvis, Laurichesse, Schmitt and Leal-Calderon2010), the ambient fluid is initialised with a linear velocity profile emulating a fully developed shear flow. This profile varies linearly along the
$y$
-direction, establishing a velocity gradient that drives relative droplet motion and thereby promotes subsequent collision and coalescence events. The intensity of the initial shear is quantified by the Reynolds number
$\textit{Re}$
, defined as
where
$\dot {\gamma }=2U_0/L_y$
is the shear rate, and
$U_0$
denotes the initial velocity imposed at the top and bottom boundaries. In all subsequent simulations, the Reynolds number is maintained at
$\textit{Re}=2$
.
In all cases, the initial spatial configuration of droplets remains the same. To facilitate analysis, the disturbance is applied only at the start of the simulation. Figure 16(a) illustrates the coalescence process of a clean-droplet group at
$\textit{Re} = 2$
. Under the initial shear, droplets migrate toward each other and make contact. In the absence of particle interference, the rupture of the liquid film between adjacent droplets triggers their coalescence, leading to subsequent oscillation and deformation of the merged droplets. Under the present flow conditions, droplet motion occurs mainly along the
$x$
-direction, limiting opportunities for some droplets to come into contact. As a result, even at
$t^* = 28.2$
(when the flow is fully stabilised), four individual droplets remain in the domain.
Time evolution of the normalised interfacial length for a droplet group at average particle coverages
$C_{ave} = 0$
,
$0.28$
,
$0.64$
and
$0.75$
. The instants
$t_1^*$
and
$t_2^*$
denote the onset of coalescence for
$C_{{ave}} = 0$
and 0.28, respectively.

We acknowledge that the clean droplets in figure 16(a) coalesce more readily than would be expected for a perfectly sharp-interface system. This behaviour is closely related to the diffuse-interface nature of the present colour-gradient LB model. When two clean droplets approach each other, coalescence can occur once their diffuse interfacial regions overlap. With increasing grid resolution (for a fixed physical droplet size), the effective interface thickness decreases, and the droplets would need to approach more closely before coalescence is triggered; in the sharp-interface limit, coalescence would occur only upon direct contact of the two interfaces. Therefore, the relatively easy coalescence of clean droplets in figure 16(a) is an expected consequence of the diffuse-interface representation and the finite numerical interface thickness. We emphasise that the clean droplet case serves only as a reference within the same numerical framework; the effects of interfacial particles will be examined subsequently by introducing particles at varying coverages, and the main conclusions are drawn from the relative changes with respect to this reference.
The introduction of neutrally wetting particles would significantly alter the coalescence behaviour of the droplet group. Figure 16(b–d) shows the coalescence process at
$C_{ave} = 0.28$
,
$0.64$
and
$0.75$
, representing low, medium and high coverages, respectively. At
$C_{ave} = 0.28$
(80 particles), the presence of particles does not substantially hinder coalescence. Five droplets remain at
$t^* = 28.2$
, and some droplet surfaces remain only partially covered, indicating limited steric hindrance (figure 16
b). At
$C_{ave} = 0.64$
(182 particles), eight independent droplets persist at
$t^* = 28.2$
, with some exhibiting arrested coalescence, leading to irregular shapes in the steady state (figure 16
c). At
$C_{ave} = 0.75$
(224 particles), droplets are initially highly covered by particles. Under shear, droplets deform and expose more interface, yet the repulsive forces between particles prevent effective droplet contact. Consequently, no coalescence occurs, and all droplets remain intact (figure 16
d).
Time evolution of the normalised interfacial length at
$\textit{Re}=0.5$
for the clean-droplet group (
$C_{ave} = 0$
) and the droplet group with
$C_{ave} = 0.28$
. The instants
$t_{3'}^*$
and
$t_{1'}^*$
denote the onset of coalescence for
$C_{{ave}} = 0$
and 0.28, respectively, while
$t_{2'}^*$
represents an intermediate time between
$t_{1'}^*$
and
$t_{3'}^*$
.

Coalescence behaviour of droplet groups with
$C_{{ave}}=0$
and
$C_{{ave}}=0.28$
at (a)
$t_{1'}^{*}=21.9$
and (b)
$t_{2'}^{*}=23.4$
.

Snapshots of droplet-group coalescence for contact angles of (a)
$\theta = 70^\circ$
, (b)
$\theta = 90^\circ$
, (c)
$\theta = 110^\circ$
and (d)
$\theta = 120^\circ$
, with insets highlighting local droplet morphology and particle distribution.

To quantitatively assess the coalescence process, we analyse the evolution of the total interfacial length, which is normalised by
$2\pi R_{{ave}}$
. As shown in figure 17, the total interfacial length of the droplet group decreases with increasing particle coverage
$C_{ave}$
, indicating enhanced system stability. This behaviour is attributed to the effective suppression of droplet coalescence at higher values of
$C_{ave}$
. As a result, the reduction in total interfacial length becomes less pronounced compared with in systems with lower coverage. In particular, when
$C_{ave} = 0.75$
, where coalescence is fully inhibited, the total interfacial length remains nearly constant over time. In addition, we notice in figure 17 that coalescence initiates earlier (
$t_2^* = 5.3$
) for the
$C_{ave} = 0.28$
case than for the clean case (
$t_1^* = 6.5$
), suggesting that neutrally wetting particles at low coverage can facilitate coalescence. To exclude effects from strong initial shear, we conduct additional simulations at a lower Reynolds number (
$\textit{Re} = 0.5$
). Figure 18 shows the corresponding evolution of the normalised interfacial length. Even at this lower
$\textit{Re}$
, the droplet group with
$C_{ave} = 0.28$
still coalesces earlier. Figure 19(a) shows that at
$t_{1'}^* = 21.9$
, droplets with sparse particles have already begun to coalesce, while clean droplets are still draining the liquid film. By
$t_{2'}^* = 23.4$
(figure 19
b), interfaces in the
$C_{ave} = 0.28$
case merge via capillary force, whereas coalescence in the clean group has not yet started. The clean-droplet group begins coalescing only at
$t_{3'}^* = 24.8$
. These results demonstrate that at low particle coverage, where steric hindrance is limited, the presence of particles can promote earlier coalescence under initial shear conditions.
We next investigate the effect of particle wettability on droplet-group coalescence at moderate average particle coverage. Following § 3.2, simulations are performed with a fixed number of particles (144) and
$\textit{Re} = 2.0$
, varying only the contact angle while keeping the particle distribution unchanged. Figure 20 shows the coalescence process of the droplet group for four different contact angles. Similar to the behaviour observed in binary droplet collisions, the contact angle significantly influences the coalescence process and leads to distinct morphological outcomes. At a small contact angle (
$\theta = 70^{\circ }$
), as shown in figure 20(a), multiple sparsely covered droplets coalesce into larger ones under shear. During partial coalescence, due to the continuous reduction of the liquid–liquid interfacial length, the physical obstruction by particles results in the stabilisation of droplets in an irregular shape, i.e. arrested coalescence. When the contact angle increases to
$\theta = 90^{\circ }$
, a bilayer particle barrier effectively prevents coalescence, as visible in the inset of figure 20(b), maintaining adjacent droplets in a stable, non-coalescing state. At even higher contact angles, particle bridging emerges. For
$\theta = 110^{\circ }$
(figure 20
c), fewer droplets coalesce compared with the case with
$\theta \leqslant 90^\circ$
, and a stable chain of three droplets connected by particle bridges is formed. When the contact angle is further increased to
$\theta = 120^\circ$
(figure 20
d), coalescence is completely suppressed. In this case, more particles are stably adsorbed between droplets, increasing the number of bridged droplets. In summary, for moderately concentrated systems, two stabilisation mechanisms are identified: dense particle layers that inhibit coalescence, and particle bridging (occurring only when particles are preferentially wetted by the ambient fluid) that forms stable droplet chains.
Finally, we perform a quantitative analysis to characterise the stability of particle-bridged droplet clusters under shear. Taking the bridged droplet-group case shown in figure 20(d) as the baseline configuration, where stable bridges are formed at
$\textit{Re}=2.0$
, we progressively increase the initial boundary velocity
$U_0$
(equivalently increasing
$\textit{Re}$
) to identify the critical condition for bridge failure. Our results show that the particle-bridged droplet group remains stable up to
$\textit{Re}=3.0$
, whereas bridge rupture occurs for
$\textit{Re}=3.1$
. Thus, for this particular configuration, the bridging strength can be characterised by a critical Reynolds number
$\textit{Re}_c\approx 3.0$
for shear-induced breakup. This provides a first quantitative measure of cluster stability, which is directly relevant to rheological characterisations of Pickering emulsion systems.
4. Conclusions
In this work, the coalescence dynamics of two particle-coated droplets and the collective behaviour of a droplet group under instantaneous shear have been systematically investigated using a LB colour-gradient model integrated with Lagrangian particle tracking. The roles of particle coverage and wettability in regulating coalescence outcomes are elucidated, yielding the following principal conclusions:
-
(i) For droplets coated with neutrally wetting particles, coalescence is initiated not by the rim rupture of the liquid film – as in particle-free systems – but through capillary-force-mediated particle–interface contact. As coalescence proceeds, the particle coverage increases dynamically due to the reduction in total interfacial length. When the particle coverage reaches a critical value, particle jamming arrests further shape relaxation, leading to non-spherical, arrested morphologies. A phase diagram constructed from simulations confirms that the transition from total to arrested coalescence is well predicted by a theoretical criterion based on interfacial length conservation.
-
(ii) The formation and stability of particle bridges between droplets are closely related to particle wettability. In the present simulation configuration and parameter range, stable bridging occurs only when particles are preferentially wetted by the ambient fluid (
$\theta \gt 90^{\circ }$
). While single-particle bridges are vulnerable to flow disturbances, multi-particle bridges significantly enhance stability by trapping ambient fluid and providing mechanical resistance against film drainage. However, an excessively large contact angle reduces the adhesion energy of particles at the interface, compromising bridge stability and ultimately leading to droplet separation. -
(iii) In a droplet group under initial instantaneous shear flow, the average particle coverage critically dictates coalescence behaviour. At low coverages, neutrally wetting particles surprisingly accelerate coalescence relative to clean droplets, facilitated by enhanced capillary-force-driven merging. As coverage increases to a moderate level, coalescence becomes arrested, leading to irregular yet stable droplet morphologies. High particle coverage completely suppresses coalescence through steric hindrance. When particles are preferentially wetted by the ambient fluid, two distinct stabilisation mechanisms are identified: (i) dense interfacial particle layers that act as steric barriers, and (ii) the capillary-force-mediated assembly of stable droplet chains via multi-particle bridging.
Overall, this work clarifies the mechanisms through which particle coverage, wettability and flow conditions collectively regulate droplet coalescence and stability. The findings provide guidelines for tailoring Pickering emulsion morphology and stability in applications such as material fabrication, enhanced oil recovery and pharmaceutical delivery.
Finally, we emphasise that our forced-collision set-up is a controlled inertial scenario distinct from buoyancy-driven coalescence in quiescent emulsions (Krüger et al. Reference Krüger, Bahr, Herminghaus and Maass2016; Chen et al. Reference Chen, Chong, Liu, Verzicco and Lohse2024); direct comparison would require appropriate scaling due to different driving mechanisms and collision geometries.
Funding
The authors are grateful for the support of the Joint Funds of the National Natural Science Foundation of China (No. U25B20167), the Key Project of Natural Science Foundation of Heilongjiang Province (No. ZL2024E013) and the National Key R&D Program of China (No. 2022YFF0503500).
Declaration of interests
The authors report no conflict of interest.
Appendix A. Comparative validation of the phase-field method and present model for liquid bridge growth
To validate the present model in simulating droplet coalescence, we perform numerical simulations of the spontaneous coalescence of two clean droplets using both an established phase-field method and the present model. The phase-field method has been shown to accurately capture the coalescence dynamics (Sui et al. Reference Sui, Maglio, Spelt, Legendre and Ding2013; Bai et al. Reference Bai, Han, He and Yang2020; Bazesefidpar et al. Reference Bazesefidpar, Brandt and Tammisola2022; Heinen et al. Reference Heinen, Hoffmann, Diewald, Seckler, Langenbach and Vrabec2022; Huang et al. Reference Huang, Liang and Xu2022). As illustrated in figure 21(a), the computational domain has a size of
$1000 \times 1000$
lattice units and contains two droplets of initial radius
$ R_{d}=100$
placed in near contact within an ambient fluid. The droplets and ambient fluid have equal densities (
$\rho _r = \rho _b = 1$
) but different viscosities, with a viscosity ratio
$\lambda = \mu _b / \mu _r = 0.1$
. The interfacial tension coefficient is set to
$\sigma = 0.02$
. To quantify droplet deformation during coalescence, we define the dimensionless liquid bridge radius as
$R^* = r / R_d$
, where
$r$
is the instantaneous liquid bridge radius (figure 21
b).
Figure 22 compares the temporal evolution of
$R^*$
predicted by the present model and the phase-field method (with a constant mobility of 0.01 in the Allen–Cahn equation). The two curves show excellent agreement: both exhibit rapid initial growth, a subsequent peak and finally a damped oscillatory decay toward equilibrium. This close match confirms that the present model reliably reproduces droplet coalescence behaviour as captured by the phase-field method.
(a) Simulation set-up for coalescence of two clean droplets. Two equal-sized droplets with the initial radius of
$R_{d}$
are placed in a computational domain of size
$1000 \times 1000$
; (b) schematic diagram of the liquid bridge formed during coalescence, with
$r$
denoting the instantaneous bridge radius. The dimensionless bridge radius is defined as
$R^* = r / R_d$
.

It should be noted, however, that this validation focuses on the resolved post-contact coalescence dynamics rather than the very late stage of film drainage immediately before rupture, where the liquid film thickness becomes comparable to the interface thickness. Fully resolving this final thinning stage would require substantially finer grid resolution, which is computationally prohibitive for the present parametric study. Nevertheless, this stage is very short compared with the overall coalescence process, and our main conclusions – concerning particle–interface contact, steric obstruction, dynamic coverage increase, arrested shape relaxation and particle bridging – are derived from post-contact behaviour rather than from the precise film rupture time. The grid-resolution tests in Appendix B confirm that the adopted grid resolution gives consistent predictions of interface deformation, bridge growth and post-contact relaxation, with further refinement producing negligible changes. Therefore, while the final thinning stage is not fully resolved, the present resolution is sufficient for identifying the dominant mechanisms discussed in this study.
Dimensionless liquid bridge radius
$ R^{*}$
as a function of the dimensionless time
$ t^{*}$
during the droplet coalescence. The solid and dashed lines represent the results obtained from the present model and the phase-field method, respectively. The dimensionless time
$ t^{*}$
is defined as
$t^{*}=t/\sqrt {\rho _{r}R_{d}^{3}/\sigma }$
.

Appendix B. Grid independence test for collision of two particle-coated droplets
A grid independence test is conducted for the head-on collision of two particle-coated droplets. The simulation set-up is identical to the one shown in figure 2. For simplicity, the two fluids are assumed to have equal densities, with interfacial tension coefficient
$\sigma$
and viscosity ratio
$\mu _b/\mu _r=1/5$
. Both droplets are assigned equal but opposite velocities
$U_0$
. Initially, solid particles are uniformly distributed along the interface between droplets and ambient fluid, with the particle coverages
$C_1=C_2=0.25$
. Here, three different grid resolutions are compared:
$1050 \times 1050$
,
$1500 \times 1500$
and
$2700 \times 2700$
. For the three grid resolutions considered, the corresponding droplet radii are
$R_d = 105$
,
$150$
and
$270$
lattice units, respectively, and the particle radii are
$R_{\!p} = 7$
,
$10$
and
$18$
lattice units. To ensure the simulations with different grid resolutions can be mapped onto the same physical system, a simulation parameter with dimensions
$[{\rm m}]^{n_1}[{\rm s}]^{n_2}[{\rm kg}]^{n_3}$
is multiplied by
$[L_0]^{n_1}[T_0]^{n_2}[M_0]^{n_3}$
to obtain its physical value, in which
$L_0=\delta _x^{phy}/\delta _x$
,
$T_0=\delta _t^{phy}/\delta _t$
and
$M_0=\sigma ^{phy} (T_0)^2/\sigma$
are the reference length scale, time scale and mass scale, respectively (Wang et al. Reference Wang, Wang and Liu2022). Note that the lattice spacing
$\delta _x$
and time step
$\delta _t$
are both taken to be 1.0, and the superscript ‘phy’ denotes the quantity expressed in physical unit. Table 1 summarises the LB parameters and the corresponding reference scales, which lead to the same physical system based on the mapping method described above.
LB parameters and reference scales for head-on collision simulations under three grid resolutions.

Table 1. Long description
A table comparing LB parameters and reference scales for different grid sizes. The table has three rows and seven columns. Column headers are Grid size, LB parameters, Reference scales. LB parameters include sigma, rho_r = rho_b, mu_r, U_0. Reference scales include Length, Time, Mass. Row 1: Grid size, 1050 x 1050; sigma, 0.02; rho_r = rho_b, 1.0; mu_r, 0.16733; U_0, 0.00745; Length, 10/7 L^0; Time, 10 sqrt 10 / 49 T^0; Mass, 1000 / 343 M^0. Row 2: Grid size, 1500 x 1500; sigma, 0.02; rho_r = rho_b, 1.0; mu_r, 0.2; U_0, 0.01; Length, L^0; Time, T^0; Mass, M^0. Row 3: Grid size, 2700 x 2700; sigma, 0.02; rho_r = rho_b, 1.0; mu_r, 0.2683; U_0, 0.01195; Length, 5/9 L^0; Time, 5 sqrt 5 / 27 T^0; Mass, 125 / 729 M^0.
For the grid-resolution assessment, the total interfacial length of the droplets, normalised by
$2\pi R_{d}$
, is monitored during the coalescence process, and the results are plotted in figure 23. Evidently, the three curves exhibit the same overall evolution: a rapid decrease in interfacial length after coalescence, followed by damped oscillations and convergence to nearly the same steady value. The lowest resolution,
$1050\times 1050$
, produces a slight delay during the rapid transient stage, whereas the results obtained with
$1500\times 1500$
and
$2700\times 2700$
are almost indistinguishable throughout the process, indicating that refining the grid beyond
$1500\times 1500$
does not appreciably change the results. Hence, the grid resolution of
$1500 \times 1500$
is fine enough to produce grid-independent results.
Time evolution of the normalised interfacial length (defined as the total interfacial length of the droplets divided by
$2\pi R_{d}$
) for three different grid resolutions at the particle coverages
$C_{1}=C_{2}=0.25$
. The dimensionless time
$t^{*}$
is defined as
$t^{*}=t/\sqrt {\rho _{r}R_{d}^{3}/\sigma }$
.

Appendix C. Three-dimensional simulations of coalescence of two particle-coated droplets for different particle distributions
To examine the scalability of key conclusions, such as damping behaviour and coalescence time scales, we perform three-dimensional simulations of two particle-coated droplets coalescing under different particle distributions, comparing them with prior two-dimensional results (Zhou et al. Reference Zhou, Mao, Liu, Liang and Liu2026). In three-dimensional simulations, the droplet radius is 80, particle radius is 8 and 50 spherical particles are distributed at each droplet interface. Following Zhou et al. (Reference Zhou, Mao, Liu, Liang and Liu2026), the ambient-fluid viscosity is varied to achieve viscosity ratios
$\lambda = 0.1$
, 1.0 and 8. For each
$\lambda$
, four particle distributions are considered, corresponding to cases A to D in figure 24.
Initial droplets and particle distributions for (a) case A (particle-free case), (b) case B (particle-coated case with half-surface coated), (c) case C (particle-coated case with three-quarters coated) and (d) case D (particle-coated case with almost the entire surface coated).

Temporal evolution of
$R^*$
in cases A to D for (a)
$\lambda =0.1$
, (b)
$\lambda =1.0$
and (c)
$\lambda =8.0$
.

Damping ratios
$\zeta$
in cases A to D for different viscosity ratios.

Figure 25 shows the temporal evolution of
$R^{*}$
in cases A to D for three different viscosity ratios. For
$\lambda =0.1$
(figure 25
a), all cases exhibit underdamped oscillations with multiple peaks. At
$\lambda =1.0$
(figure 25
b), case A remains underdamped, case D is critically damped (single peak) and cases B and C are overdamped (no peaks). For
$\lambda =8.0$
(figure 25
c), all cases become overdamped regardless of particle distribution. Furthermore, we quantify the damping ratios (
$\zeta$
) in cases A to D for different viscosity ratios, as illustrated in figure 26. It is found particles significantly increase
$\zeta$
relative to clean droplets, and a narrower particle distribution generally yields a higher
$\zeta$
. This confirms that particles elevate the apparent viscosity of the droplet phase, and that this effect can be tuned by particle arrangement – consistent with the core findings in an earlier two-dimensional study (Zhou et al. Reference Zhou, Mao, Liu, Liang and Liu2026). The close agreement between two- and three-dimensional simulations demonstrates that the two-dimensional model can capture the essential physics of three-dimensional coalescence at substantially lower computational cost.
Appendix D. Single-particle adsorption at a flat fluid–fluid interface
To validate the particle representation, wetting boundary condition and capillary-force model, we perform a single-particle adsorption test at a flat fluid–fluid interface. As illustrated in figure 27(a), the computational domain is filled with two fluids separated by a horizontal interface. A circular particle with radius
$R_{\!p} = 10$
is initially placed at the interface. Periodic boundary conditions are applied in the horizontal direction, while no-slip boundary conditions are imposed at the top and bottom boundaries. Gravity and buoyancy are neglected, so the particle motion is governed primarily by the capillary force associated with the prescribed surface wettability.
Validation of single-particle adsorption at a flat fluid–fluid interface. (a) Schematic diagram of the simulation set-up; (b) equilibrium configurations of a particle positioned at the interface for prescribed contact angles from
$50^\circ$
to
$130^\circ$
; (c) comparison between the measured equilibrium contact angle
$\theta ^*$
and the prescribed contact angle
$\theta$
; and (d) comparison between the numerically obtained detachment energy and the analytical solution
$\Delta E = 2 R_{\!p} \sigma (\sin {\theta }-|\cos {\theta }|\arccos {|\cos {\theta }|} )$
.

The particle is released from its initial position and allowed to relax towards equilibrium. Figure 27(b) shows the final particle–interface configurations for prescribed contact angles ranging from
$50^\circ$
to
$130^\circ$
. In all cases, the interface remains nearly flat after relaxation and the particle reaches the expected equilibrium immersion depth. Figure 27(c) compares the measured equilibrium contact angles
$\theta ^*$
with the prescribed values
$\theta$
, showing excellent agreement with a maximum deviation of approximately
$4^\circ$
. Furthermore, we quantify the energy barrier required to detach the particle from the interface; the results are plotted in figure 27(d). The numerically obtained detachment energy,
$\Delta E$
, shows good agreement with the analytical expression
$\Delta E = 2 R_{\!p} \sigma (\sin {\theta }-|\cos {\theta }|\arccos {|\cos {\theta }|} )$
across the entire range of contact angles. These results confirm that our particle representation, wetting boundary condition and capillary-force model correctly reproduce the single-particle adsorption behaviour and energetics.
Appendix E. Classification criterion for coalescence regimes
To make the regime classification objective and quantitative, we introduce a two-step method based on quantitative criteria. The first step determines whether coalescence occurs. This is achieved by examining the colour function
$\rho ^N$
along the centreline
$x = x_{{mid}}$
of the computational domain at late times. Since
$\rho ^N \gt 0$
identifies the droplet phase and
$\rho ^N \lt 0$
the ambient fluid, the absence of coalescence corresponds to all grid points along this centreline having
$\rho ^N \lt 0$
. If this condition is satisfied, the two droplets remain completely separated and the case is classified as total stability. Otherwise, coalescence has occurred and the case proceeds to the second step. For coalesced cases, we quantify the late-time morphology using the circularity
$\chi = 4\pi A / P^2$
, where
$A$
and
$P$
are the area and perimeter of the coalesced droplet, respectively. A perfectly circular droplet gives
$\chi = 1$
, whereas a non-circular arrested morphology yields a smaller value. A coalesced case is classified as total coalescence when
$\chi$
is close to unity, and as arrested coalescence when
$\chi$
is significantly smaller than 1. Thus, the classification relies not on visual inspection but on the topological connectivity of the two droplets (via
$\rho ^N$
along the centreline) and the measured circularity at late stage.


Rd
10Rd×10Rd
d
Rp
C1
C2
θ
We
C1,C2
We=2
C1=C2=0.68
We=2
We=60
C1=C2=0.68
We=60
t∗=t/ρrRd3/σ
Φ1
Φ2
t*=0
t*=4.6
t*=1.2
t*=3.5
hmax
hmin
hc/Rd
C1=0.44,C2=0.57
C1=0.74,C2=0.72
C1=0.85,C2=0.51
C1=0.44,C2=0.57
C1=0.74,C2=0.72
y
C1=0.44,C2=0.57
C1=0.74,C2=0.72
C1=C2=0.58
We=13
θ=70∘
θ=110∘
θ=106∘
We=2
We=5
We=10
θ=120∘,We=2
θ=135∘,We=10
θ=135∘,We=15
Lx×Ly=2000×1000
U0
Cave=0
Cave=0.28
Cave=0.64
Cave=0.75
Cave=0
0.28
0.64
0.75
t1∗
t2∗
Cave=0
Re=0.5
Cave=0
Cave=0.28
t3′∗
t1′∗
Cave=0
t2′∗
t1′∗
t3′∗
Cave=0
Cave=0.28
t1′∗=21.9
t2′∗=23.4
θ=70∘
θ=90∘
θ=110∘
θ=120∘
Rd
1000×1000
r
R∗=r/Rd
R∗
t∗
t∗
t∗=t/ρrRd3/σ

2πRd
C1=C2=0.25
t∗
t∗=t/ρrRd3/σ
R∗
λ=0.1
λ=1.0
λ=8.0
ζ
50∘
130∘
θ∗
θ
ΔE=2Rpσ(sinθ−|cosθ|arccos|cosθ|)