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Fatigue Life and Reliability Analysis of a Parallel Hip Joint Simulator

Published online by Cambridge University Press:  22 February 2021

Feng Guo Open the ORCID record for Feng Guo [Opens in a new window] ,
Gang Cheng  and
Xin Yuan
Feng Guo
Affiliation:
School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China, E-mails: [email protected], [email protected]
Gang Cheng*
Affiliation:
School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China, E-mails: [email protected], [email protected] Executive director, Shandong Zhongheng Optoelectronic Technology Co., Ltd., Zaozhuang, China
Xin Yuan
Affiliation:
School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China, E-mails: [email protected], [email protected]
*
*Corresponding author. E-mail: [email protected]
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Summary

Aiming at 3SPS+1PS parallel hip joint simulator, the maximum stress of branched chains under the suggested trajectory is obtained by elastodynamic analysis. Based on Corten-Dolan fatigue damage theory and Rain-flow counting method, the dynamic stress of each branched chain is statistically analyzed. The fatigue life prediction shows that branched-chain A2P2C2 is the weakest component for the simulator. Finally, the fatigue reliability is analyzed and the fatigue life and reliability under different structural parameters are discussed. The study shows that the fatigue life of each branched chain can be increased or balanced by increasing structural parameters or exchanging initial motion parameters.

Keywords

Parallel simulator elastodynamicsCorten-Dolan fatigue damage theoryRain-flow counting methodFatigue lifeFatigue reliability
Type
Article
Information
Robotica , Volume 39 , Issue 11 , November 2021 , pp. 2079 - 2093
Copyright
© The Author(s), 2021. Published by Cambridge University Press

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References

Lobontiu, N., “Modeling and design of planar parallel-connection flexible hinges for in- and out-of-plane mechanism applications,” Precis. Eng. 42(1), 113–132 (2015).CrossRefGoogle Scholar
Lu, Y., Liu, Y., Zhang, L. and Ye, N., “Dynamics analysis of a novel 5-DoF parallel manipulator with couple-constrained wrench,” Robotica 36(10), 1421–1435 (2018).CrossRefGoogle Scholar
Zhou, M., Yu, Q., Huang, K., Mahov, S., Eslami, A., Maier, M., Lohmann, C., Navab, N., Zapp, D., Knoll, A. and Nasseri, M., “Towards robotic-assisted subretinal injection: A hybrid parallel–serial robot system design and preliminary evaluation,” IEEE T. Ind. Electron. 67(8), 6617–6628 (2020).CrossRefGoogle Scholar
Qu, H. and Guo, S., “Kinematics analysis of a novel planar parallel manipulator with kinematic redundancy,” J. Mech. Sci. Technol. 31(4), 1927–1935 (2017).Google Scholar
Chen, G., Yu, W., Li, Q. and Wang, H., “Dynamic modeling and performance analysis of the 3-PRRU 1T2R parallel manipulator without parasitic motion,” Nonlinear Dynam. 90(1), 339–353 (2017).CrossRefGoogle Scholar
Cheng, G., Li, Y., Feng, L., Shan, X. and Yang, J., “Configuration bifurcation and self-motion analysis of 3SPS+1PS bionic parallel test platform for hip joint simulator,” Mech. Mach. Theory 86, 62–72 (2015).CrossRefGoogle Scholar
Xu, L., Chen, G., Ye, W. and Li, Q., “Design, analysis and optimization of Hex4, a new 2R1T overconstrained parallel manipulator with actuation redundancy,” Robotica 37(2), 358–377 (2019).CrossRefGoogle Scholar
Mohan, S., “Error analysis and control scheme for the error correction in trajectory-tracking of a planar 2PRP-PPR parallel manipulator,” Mechatronics 46, 70–83 (2017).CrossRefGoogle Scholar
Shan, X. and Cheng, G., “Structural error identification and kinematic accuracy analysis of a 2(3PUS + S) parallel manipulator,” Measurement 140, 22–28 (2019).CrossRefGoogle Scholar
Sun, X., Zhang, Y. and Shi, D., “Dynamics simulation and fatigue life study of the drive system of rack and pinion climbing vertical shiplift,” Appl. Mech. Mater. 456, 155–158 (2013).CrossRefGoogle Scholar
Nie, S., Li, Y., Shuai, G., Tao, S. and Xi, F., “Modeling and simulation for fatigue life analysis of robots with flexible joints under percussive impact forces,” Robot. Comput. Integr. Manuf. 37, 292–301 (2016).CrossRefGoogle Scholar
Guo, S., He, Y., Shi, L., Pan, S., Tang, K., Xiao, R. and Guo, P., “Modal and fatigue analysis of critical components of an amphibious spherical robot,” Microsyst Technol. 23, 2233–2247 (2017).CrossRefGoogle Scholar
Liu, C., Lu, Z., Xu, Y. and Yue, Z., “Reliability analysis for low cycle fatigue life of the aeronautical engine turbine disc structure under random environment,” Mat. Sci. Eng. A-Struct. 395(1–2), 218–225 (2005).CrossRefGoogle Scholar
Yan, Y., “Load characteristic analysis and fatigue reliability prediction of wind turbine gear transmission system,” Int. J. Fatigue 130, 105259.1–105259.9 (2020).CrossRefGoogle Scholar
Kassner, M., “Fatigue strength analysis of a welded railway vehicle structure by different methods,” Int. J. Fatigue 34(1), 103–111 (2012).CrossRefGoogle Scholar
Cai, Y., Zhao, Y., Ma, X. and Yang, Z., “An extended model for fatigue life prediction and acceleration considering load frequency effect,” IEEE Access 6, 21064–21074 (2018).CrossRefGoogle Scholar
Kim, Y., Lee, K., Li, H., Seok, C., Koo, J., Kwon, S. and Cho, Y., “Fatigue life prediction method for contact wire using maximum local stress,” J. Mech. Sci. Technol. 29(1), 67–70 (2015).CrossRefGoogle Scholar
Gao, H., Huang, H., Lv, Z., Zuo, F. and Wang, H., “An improved Corten-Dolan’s model based on damage and stress state effects,” J. Mech. Sci. Technol. 29(8), 3215–3223 (2015).CrossRefGoogle Scholar
Liu, Q., Gao, Y., Li, Y. and Xue, Q., “Fatigue life prediction based on a novel improved version of the Corten-Dolan model considering load interaction effect,” Eng. Struct. 221, 111036 (2020).CrossRefGoogle Scholar
Cheng, H., Tao, J., Chen, X. and Jiang, Y., “A method for estimating rainflow fatigue damage of narrowband non-Gaussian random loadings,” P. I. Mech. Eng. C-J. Mec. 228(14), 2459–2468 (2014).CrossRefGoogle Scholar
Chen, C., Yang, Z., He, J., Tian, H., Li, S. and Wang, D., “Load spectrum generation of machining center based on rainflow counting method,” J. Vibroeng. 19(8), 5767–5779 (2017).CrossRefGoogle Scholar