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Interfacial instabilities and thermo-hydrodynamic mechanisms in high-temperature vapour-ventilated supercavitation

Published online by Cambridge University Press:  01 September 2026

Chunhao Liu
Affiliation:
College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, PR China
Chengwang Xiong*
Affiliation:
College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, PR China Nanhai Institute of Harbin Engineering University, Sanya 572024, PR China
Shiping Wang*
Affiliation:
College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, PR China Nanhai Institute of Harbin Engineering University, Sanya 572024, PR China
A-Man Zhang
Affiliation:
College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, PR China Nanhai Institute of Harbin Engineering University, Sanya 572024, PR China
Muyang Wang
Affiliation:
College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, PR China
Qianqian Dong
Affiliation:
College of Aerospace and Civil Engineering, Harbin Engineering University, Harbin 150001, PR China
*
Corresponding authors: Chengwang Xiong, chengwang.xiong@hrbeu.edu.cn; Shiping Wang, wangshiping@hrbeu.edu.cn
Corresponding authors: Chengwang Xiong, chengwang.xiong@hrbeu.edu.cn; Shiping Wang, wangshiping@hrbeu.edu.cn

Abstract

Content of image described in text.

This study experimentally investigates the interfacial instabilities and thermo-hydrodynamic mechanisms of supercavities ventilated by high-temperature condensable vapour. Using high-speed imaging with an AI-based segmentation model, we establish a flow regime map that delineates the supercavitation envelope, identifying a distinct rough supercavity regime associated with the interaction between phase change and turbulence. A key finding is the non-monotonic cavity-length response of condensable vapour ventilation, in which high-flow regression is governed by a condensation-assisted source–sink imbalance, and differs mechanistically from the leakage/closure response observed in air ventilation. Specifically, condensation-induced mass loss acts as an internal sink that can exceed the vapour supply and cause cavity regression. While the cavity diameter remains inertially constrained, its length is highly sensitive to these thermodynamic effects. Spatiotemporal analysis indicates a coupled thermo-hydrodynamic route for the interfacial instability. The observed instability is initiated by thermodynamic self-excitation driven by droplet impingement, under-expanded jet expansion, and contact condensation within the ventilation influence region. These disturbances are convected downstream through a Kelvin–Helmholtz-type shear-layer process. The upper–lower asymmetry of the cavity fluctuations is consistent with gravity-related selection, which preferentially amplifies long-wave perturbations on the upper interface through a Rayleigh–Taylor-type route, and damps fluctuations on the lower interface. These findings extend classical cavitation theory into regimes dominated by rapid phase change, providing new insights into thermo-hydrodynamic coupling in multiphase flows.

Information

Type
JFM Papers
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Figure 1. High-temperature water vapour ventilation experimental system: (a) cavitation water tunnel; (b) high-temperature steam generator; (c) disk cavitator and the structure near the ventilation holes.

Figure 1

Figure 2. Schematic diagram of the experimental set-ups.

Figure 2

Table 1. Summary of experimental conditions. All experiments were conducted at a controlled ambient water temperature T∞≈298.15$T_{\infty } \approx 298.15$ K.Table 1 long description.

Figure 3

Table 2. Nomenclature and descriptions of the distinct flow regimes and transitional states.Table 2 long description.

Figure 4

Figure 3. Quantification of the interfacial waves of ventilated supercavitation based on the AI model: (a$a$) original experimental image; (b$b$) segmentation mask overlay result; (c$c$) supercavitation edge segmentation and information acquisition.

Figure 5

Figure 4. Figure 4 long description.Topological classifications of the four primary flow regimes: (a$a$) foamy cavity, (b$b$) local supercavity, (c$c$) smooth supercavity, (d$d$) rough supercavity.

Figure 6

Figure 5. Flow regime map. The central axis defines the natural cavitation baseline (increasing U$U$). The upper and lower panels map the regime transitions driven by ventilation flow rate (Qin$Q_{\textit{in}}$, group A) and temperature (T$T$, group B), respectively.

Figure 7

Figure 6. Schematic diagrams of flow structure and instability mechanisms: (a$a$) four-region internal flow model; (b$b$) evolution of the vapour jet near the orifice; (c$c$) amplification of interfacial disturbances via K–H and R–T instabilities.

Figure 8

Figure 7. High-speed visualisation of flow characteristics near the ventilation orifice and the ventilation influence region. (a$a$) Evolution of the cavity driven by increasing freestream velocity (U$U$) from 2.54 to 3.07 m s−1, under constant ventilation parameters Qin=120$Q_{\textit{in}} = 120$ SLPM and T=523.15$T=523.15$ K. (b$b$) Evolution of the cavity driven by increasing ventilation flow rate Qin$Q_{\textit{in}}$ from 100 to 180 SLPM under fixed freestream velocity U=3.38$U=3.38$ m s−1 and vapour temperature T=523.15$T=523.15$ K. Supplementary movie 1 provided for reference is available at https://doi.org/10.1017/jfm.2026.11897.

Figure 9

Figure 8. Definition of supercavity dimensional parameters. The length (Ls$L_s$) is measured as the axial distance from the cavitator to the re-attachment point, while the maximum diameter (Ld$L_d$) is extracted at a fixed station 10 cm downstream of the cavitator.

Figure 10

Figure 9. Variation of supercavity length (Ls$L_s$) with ventilation flow rate (Qin$Q_{\textit{in}}$) under different freestream velocities (groups A1–A3). Error bars represent the standard deviation of temporal fluctuations over 900 frames. Supplementary movie 2 is provided to demonstrate the cavity collapse under high Qin$Q_{\textit{in}}$.

Figure 11

Figure 10. Variation of supercavity diameter (Ld$L_d$) with ventilation flow rate (Qin$Q_{\textit{in}}$). Error bars denote the standard deviation over 900 frames. The dashed line indicates the reference diameter 2dc$2d_c$. Note that unlike length, the diameter exhibits strong inertial constraint.

Figure 12

Figure 11. Evolution of cavity morphology with ventilation temperature T$T$. Experimental parameters correspond to groups B1–B4 (see table 1) from top to bottom, respectively. The supercavity length Ls$L_s$ and diameter Ld$L_d$ are annotated for fully developed cases. Note the collapse-to-recovery transition in group B1.

Figure 13

Figure 12. Comparison of interfacial characteristics between natural cavitation and vapour ventilation under identical flow conditions (U=3.51$U = 3.51$ m s−1, T=523.15$T = 523.15$ K). Supplementary movie 3 is provided for reference.

Figure 14

Figure 13. Schematic illustration of the interfacial instability mechanisms. (a$a$) Low ventilation flow rate: impingement of condensate droplets. (b$b$) Medium-to-high ventilation flow rate: thermodynamic pulsations with K–H/R–T instabilities. (c$c$) Very high ventilation flow rate: strong mixing and rapid condensation.

Figure 15

Figure 14. Envelope contours of the upper supercavity interface and interfacial wave amplitudes at different axial positions under different ventilation flow rates: (a$a$) Qin=120$Q_{\textit{in}} = 120$ SLPM, (b$b$) Qin=360$Q_{\textit{in}} = 360$ SLPM.

Figure 16

Figure 15. The FFT spectra of greyscale variations in the ventilation influence region under different ventilation flow rates. The vertical axis G¯$\bar {G}$ represents the time-integrated spectral amplitude of the normalised greyscale fluctuations.

Figure 17

Figure 16. Spatiotemporal analysis of interfacial instabilities at Qin=360$Q_{\textit{in}}=360$ SLPM. (a$a$) Spatiotemporal diagram of the dimensionless surface displacement η∗$\eta ^{*}$, visualising the downstream convection of wave packets. Streamwise evolution of the Hilbert energy density spectra EH$E_{\mathit{H}}$ resolved in (b$b$) the dimensionless frequency domain (St=fdc/U$St = f d_c / U$) and (c$c$) the dimensionless wavelength domain (λ∗=λ/dc$\lambda ^* = \lambda / d_c$). (d$d$) Dispersion spectrum SH(St,k∗)$S_{\mathit{H}}(St, k^*)$ in the frequency–wavenumber plane, where k∗=dc/λ$k^* = d_c / \lambda$ denotes the dimensionless wavenumber.

Figure 18

Figure 17. Streamwise evolution of interfacial instability intensity at Qin=360$Q_{\textit{in}}=360$ SLPM. The cumulative energy E$E$ is calculated by integrating the Hilbert energy spectrum within the effective frequency band (5−3000$5 {-} 3000$ Hz). The ratio ξE=Eup/Elow$\xi _E = E_{up}/E_{low}$ quantifies the energetic asymmetry between the upper and lower interfaces. The vertical dashed line at X/dc≈7.2$X/d_c \approx 7.2$ marks the approximate axial location of the cavity closure region.

Figure 19

Figure 18. Comparison of typical interfacial morphologies for three full-length supercavity regimes.

Figure 20

Figure 19. Cavitation promotion or cavitation suppression induced by air ventilation.

Supplementary material: File

Liu et al. supplementary movie 1

High-speed visualization of flow characteristics near the ventilation orifice and the ventilation influence region.
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Supplementary material: File

Liu et al. supplementary movie 2

The interface instability induced by high ventilation flow rates Qin (fixed freestream velocity U = 3.38 m/s and vapor temperature T = 523 K).
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Supplementary material: File

Liu et al. supplementary movie 3

Characteristics of the supercavitation interfacial waves under different ventilation flow rates Qin (fixed freestream velocity U = 3.51 m/s and vapor temperature T = 523 K).
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Supplementary material: File

Liu et al. supplementary material 4

Liu et al. supplementary material
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