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A new workspace estimation method for heavy-load parallel kinematic machine considering mechanism deformation and motor loading performance

Published online by Cambridge University Press:  26 December 2024

Fangyan Zheng
Affiliation:
Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, China
Jingyu Liu
Affiliation:
Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, China
Xinghui Han*
Affiliation:
Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, China
Lin Hua*
Affiliation:
Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, China
Shuai Xin
Affiliation:
Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, China
Wuhao Zhuang
Affiliation:
Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, China
*
Corresponding authors: Xinghui Han; Email: hanxinghui@whut.edu.cn, Lin Hua; Email: hualin@whut.edu.cn
Corresponding authors: Xinghui Han; Email: hanxinghui@whut.edu.cn, Lin Hua; Email: hualin@whut.edu.cn
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Abstract

The estimation of workspace for parallel kinematic machines (PKMs) typically relies on geometric considerations, which is suitable for PKMs operating under light load conditions. However, when subjected to heavy load, PKMs may experience significant deformation in certain postures, potentially compromising their stiffness. Additionally, heavy load conditions can impact motor loading performance, leading to inadequate motor loading in specific postures. Consequently, in addition to geometric constraints, the workspace of PKMs under heavy load is also constrained by mechanism deformation and motor loading performance.

This paper aims at developing a new heavy load 6-PSS PKM for multi-degree of freedom forming process. Additionally, it proposes a new method for estimating the workspace, which takes into account both mechanism deformation and motor loading performance. Initially, the geometric workspace of the machine is predicted based on its geometric configuration. Subsequently, the workspace is predicted while considering the effects of mechanism deformation and motor loading performance separately. Finally, the workspace is synthesized by simultaneously accounting for both mechanism deformation and motor loading performance, and a new index of workspace utilization rate is proposed. The results indicate that the synthesized workspace of the machine diminishes as the load magnitude and load arm increase. Specifically, under a heavy load magnitude of 6000 kN and a load arm of 200 mm, the utilization rate of the synthesized workspace is only 9.9% of the geometric workspace.

Information

Type
Research Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press
Figure 0

Figure 1. Three-dimensional model of multi-DoF forming machine and 6-PSS PKM. (a) 3D model of multi-DoF forming machine (b) 3D model of 6-PSS PKM.

Figure 1

Figure 2. Protype of multi-DoF forming machine. (a) Multi-DoF forming machine (b) 6-PSS PKM.

Figure 2

Figure 3. Schematic diagram of inverse kinematics of 6-PSS PKM and layout of spherical joints. (a) Schematic diagram of inverse kinematics of 6-PSS PKM (b) Layout of spherical joints.

Figure 3

Table I. The configuration parameters of multi-DoF forming machine.

Figure 4

Figure 4. Illustration for the motion of multi-DoF forming. (a) t = 0.25 s (b) t = 0.5 s (c) t = 0.75s (d) t = 1 s.

Figure 5

Figure 5. Displacement and velocity of each slider with time. (a) Displacement of each slider with $\varphi$ = 1 (b) Velocity of each slider with $\varphi$ = 2 (d) Velocity curve of each slider with $\varphi$ = 1. (c) Displacement of each slider with $\varphi$ = 2 (d) Velocity curve of each slider with $\varphi$ = 2.

Figure 6

Figure 6. The geometric workspace of parallel kinematic machine.

Figure 7

Figure 7. Force diagram of the moving platform.

Figure 8

Figure 8. The deformation of tool with time. (a) Linear deformation (b) Angular deformation.

Figure 9

Figure 9. Illustration of the deformation error of the parallel kinematic machine.

Figure 10

Figure 10. Distribution of deformation error of the PKM in the workspace. (a)$Fz=4000\mathrm{kN},{}R=100\mathrm{mm}$(b)$Fz=4000\mathrm{kN},R=200\mathrm{mm}$. (c)$Fz=6000\mathrm{kN},R=100\mathrm{mm}$(d)$Fz=6000\mathrm{kN},{}R=200\mathrm{mm}$.

Figure 11

Figure 11. Workspace utilization rate $\lambda ^{s}$ with deformation error constraint.

Figure 12

Figure 12. Distribution of actuated force of each slider and the maximum actuated force of six sliders in the workspace. (a) Actuated force of the 1st slider (b) Actuated force of the 2nd slider (c) Actuated force of the 3rd slider. (d) Actuated force of the 4th slider (e) Actuated force of the 5th slider (f) Actuated force of the 6th slider. (g) The maximum actuated force of six sliders.

Figure 13

Figure 13. Servo motor characteristic curve.

Figure 14

Figure 14. Distribution of actuated force of sliders in the workspace.

Figure 15

Figure 15. Workspace of PKM with motor loading performance constraint. (a) Fz = 4000 kN, R = 100 mm (c) Fz = 4000 kN, R = 200 mm. (c) Fz = 6000 kN, R = 100 mm (d) Fz = 6000 kN, R = 200 mm.

Figure 16

Figure 16. Workspace utilization rate $\lambda ^{m}$ with motor loading performance constraint.

Figure 17

Figure 17. Synthesized workspace of PKM. (a) Fz = 4000 kN, R = 100 mm (c) Fz = 4000 kN, R = 200mm. (g) Fz = 6000 kN, R = 100 mm (i) Fz = 6000 kN, R = 200 mm.

Figure 18

Figure 18. Synthesized workspace utilization rate $\lambda ^{t}$.

Figure 19

Figure 19. Comparison between workspace utilization rate with motor loading performance constraint $\lambda ^{m}$ and workspace utilization rate with deformation error constraint $\lambda^{s}$.