Fatigue Life Estimation of 2(3HUS+S) Parallel Manipulator for Simulation of Hip Joint Motion
Authors: 
Feng Guo, Gang Cheng, Zhi Qiao, Zujin Jin, Yong LiAuthors Info & Claims
Feng Guo, Gang Cheng, Zhi Qiao, Zujin Jin, Yong LiAuthors Info & ClaimsPages 271 - 277
Abstract
Fatigue life for robotic components is the time or disturbance load times of the fatigue crack initiation to fatigue damage. Most of the loads on robotic components are random. The amplitude and interaction of the random load have an effect on the damage quantity, which will affect the accuracy of fatigue life estimation. In this paper, a non-homogeneous Poisson process is used to simulate the random load, and the parameters is calculated by a neural network method. The associated damage theory solves the inaccuracy of fatigue life estimation because of the load interaction, and random load tests of eight levels are employed to verify the rationality of the method. Finally, the fatigue life of the ball screws for a 2(3HUS+S) parallel manipulator is accurately and reliably estimated by using the non-homogeneous Poisson process and the associated damage theory. This study provides a new means to predict the fatigue life for the parallel hip joint simulator.
References
[1]
Woo, C., Kim, W. and Kwon, J. 2008. A study on the material properties and fatigue life prediction of natural rubber component. Materials Science & Engineering A-Structural Materials Properties Microstructure & Processing. 483, 376-381.
[2]
Pekedis, M. and Yildiz, H. 2011. Comparison of fatigue behaviour of eight different hip stems: a numerical and experimental study. Journal of Biomedical ence and Engineering. 4 (10), 643-650.
[3]
Zhang, H., Cheng, G., Shan, X. and Guo, F. 2018. Kinematic accuracy research of 2(3HUS+S) parallel manipulator for simulation of hip joint motion. Robotica. 36, 1386-1401.
[4]
Wu, G. and Zou, P. 2016. Comparison of 3-DOF asymmetrical spherical parallel manipulators with respect to motion/force transmission and stiffness. Mechanism and Machine Theory. 105, 369-387.
[5]
Lu, Y., Liu, Y., Zhang, L., Ye, N. and Wang, Y. 2018. Dynamics analysis of a novel 5-DoF parallel manipulator with couple-constrained wrench. Robotica, 36 (10), 1421-1435.
[6]
Guo, F., Cheng, G. and Zhao, Z. 2019. Interior singularity analysis for a 2(3HUS+S) parallel manipulator with descending matrix rank method. International Journal of Advanced Robotic Systems. 16 (1), 1-8.
[7]
Wu, Z., Hu, X., Li, Z. and Song, Y. 2015. Evaluation of fatigue life for titanium alloy TC4 under variable amplitude multiaxial loading. Fatigue & Fracture of Engineering Materials & Structures. 38 (4), 402-409.
[8]
Xia, J., Li, G., Li, B. Cheng, L. and Zhou, B. 2017. Fatigue life prediction of Package-on-Package stacking assembly under random vibration loading. Microelectronics Reliability. 71, 111-118.
[9]
Djebli, A., Aid, A., Bendouba, M., Amrouche, A., Benguediab, M. and Benseddiq, N. 2013. A non-linear energy model of fatigue damage accumulation and its verification for Al-2024 aluminum alloy. International Journal of Non-Linear Mechanics. 51, 145-151.
[10]
Harris, T. and Yu, W. 1999. Lundberg-Palmgren fatigue theory: Considerations of failure stress and stressed volume. Journal of Tribology. 121 (1), 85-89.
[11]
Brecher, C., Witt, S. and Yagmur, T. 2009. Influences of oil additives on the wear behavior of ball screws. Production Engineering. 3 (3), 323-327.
[12]
Guo, Y., Warren, A. and Hashimoto, F. 2010. The basic relationships between residual stress, white layer, and fatigue life of hard turned and ground surfaces in rolling contact. CIRP Journal of manufacturing science and technology. 2 (2), 129-134.
[13]
Mi, L., Cheng, H. and Quan, L. 2016. Estimation of blade fatigue life of wind turbine based on poisson stochastic process. Chinese Journal of Mechanical Engineering. 52 (18), 134-139.
[14]
Chen, Y., Jin, Y. and Kang, R. 2017. Coupling damage and reliability modeling for creep and fatigue of solder joint Microelectronics Reliability, 75, 233-238.
[15]
Zhang, J., Hu, C., He, X., Si, X., Liu, Y. and Zhou, D. 2017. Lifetime prognostics for deteriorating systems with time-varying random jumps. Reliability Engineering & System Safety. 167 (11), 338-350.
[16]
Peng, W., Shen, L., Shen, Y. and Sun, Q. 2018. Reliability analysis of repairable systems with recurrent misuse-induced failures and normal-operation failures. Reliability Engineering & System Safety. 171 (3), 87-98.
[17]
Ao, C., Li, Y., Yan, X. and Chu, F. 2007. Operational reliability of tractor engines based on non-homogeneous poisson process. Chinese Journal of Mechanical Engineering. 43 (10), 206-210.
[18]
Oğuz, H., Sarıtas, I. and Baydan, H. 2010. Prediction of diesel engine performance using biofuels with artificial neural network. Expert Systems with Applications. 37 (9), 6579-6586.
[19]
Wen, J., Chen, G., Chen, J., Wu, Y. and Zhao, Z. 2011. Research on sand pile model of cumulative fatigue damage. Journal of Guangxi University. 36 (2), 257-262.
[20]
Huang, H. 2014. The study of random loading fatigue test and fatigue life estimation. Guanxi University.
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Published In
November 2020
288 pages
ISBN:9781450388597
DOI:10.1145/3449301
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Association for Computing Machinery
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Published: 09 June 2021
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- Priority Academic Program Development of Jiangsu Higher Education Institutions
- National Natural Science Foundation of China
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ICRAI 2020
ICRAI 2020: 2020 6th International Conference on Robotics and Artificial Intelligence
November 20 - 22, 2020
Singapore, Singapore
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