Fatigue Life Prediction of the Gear Box in Tracked Vehicles Based on Running Simulation Tests
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The static strength theory became the basis for the design of the gear box in tracked vehicles. The dynamic characteristics of the gear box under different working conditions cannot be evaluated accurately, the reliability and fatigue life are difficult to study due to the limit dons of conventional tests and experimental techniques, the service life of the gear box was much shorter than the design one, thus the reliability of tracked vehicles was also affected deeply. The dynamic load of each part of the gear box under different working conditions was evaluated by setting up an MSC.ADAMS test program. The actual load applied to the fatigue life prediction system of the gear box provides the fatigue lives of box-related parts. The fatigue life prediction method of the gear box was verified as to its feasibility with running simulation tests.
Keywordsgear box running simulation fatigue life prediction
This study was sponsored by Hebei Province Science and Technology Projects (16211806D and 18214302D), Hebei Education Department (ZD2016084). Project of Hebei Province Higher Educational Science and Technology Research, China (ZD2017044), and Open Project of Industrial Energy-Saving and Power Quality Control of Anhui Province of China (KFKT201504).
- 3.X. J. Du, C. Z. Jia, and Z. W. Dong, “Simulation and prediction of fatigue life of planetary gear of tracked vehicle,” J. Vibr. Shock, 33, No. 13, 106–110 (2014).Google Scholar
- 5.C. Z. Jia, X. J. Du, Z. W. Dong, and Y. H. Zhang. “Study on fatigue life prediction of wheel rim reducer based on driving simulation test,” J. Mech. Strength, 36, No. 3, 449–454 (2014).Google Scholar
- 6.C. Z. Jia, Z. J. Yin, and W. X. Xue, MD ADAMS Virtual Prototype from Entry to Master, Mechanical Industry Press, Beijing (2010), pp. 10–50.Google Scholar
- 10.Q. B. Cui, A Self-Propelled Artillery Box Dynamics Simulation and Life Prediction, Ordnance Engineering College, Shijiazhuang (2005).Google Scholar
- 11.B. Y. Liao, X. M. Zhou, and Z. H. Yin, Modern Dynamics of Machinery and Its Application in Engineering, China Machine Press, Beijing (2004).Google Scholar
- 12.G. L. Xiong, B. Guo, and X. B. Chen, Collaborative Simualation & Virtual Propotyping, Tsinghua University Press (2004).Google Scholar
- 13.X. B. Chen, G. L. Xiong, B. Guo, et al., “Research on co-simulation running based on HLA,” J. Syst. Simul., 15, No. 12, 1537–1542 (2003).Google Scholar
- 14.X. J. Du, Z. W. Dong, X. G. Wang, and Q. X. Zhang, “Research on collaborative simulation based on interfaces used in weapon system,” J. Syst. Simul., 18, No. 5, 1371–1375 (2006).Google Scholar
- 15.X. J. Du, Research on Dynamic Simulation and Life Prediction of Self-Propelled Gun’s Drive System, Ordance Engineering College, China (2006), pp. 100–104.Google Scholar
- 16.Committee of Planetary Transmission of Involute Gear’s Design and Manufacturing, China Machine Press, Beijing (2002).Google Scholar
- 17.D. L. Wu, Research on Road Simulation of Self-Propelled Gun, Ordance Engineering College, China (2004), pp. 60–75.Google Scholar