Advertisement

Strength of Materials

, Volume 51, Issue 4, pp 578–586 | Cite as

Fatigue Life Prediction of the Gear Box in Tracked Vehicles Based on Running Simulation Tests

  • X. J. Du
  • S. R. ZhangEmail author
  • Y. H. Zhang
Article
  • 10 Downloads

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.

Keywords

gear box running simulation fatigue life prediction 

Notes

Acknowledgments

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).

References

  1. 1.
    X. J. Du, C. Z. Jia, and J. Wu, “Research on fatigue life prediction of planetary cage in caterpillar base on running simulation test,” Appl. Mech. Mater., 226–228, 862–866 (2012).CrossRefGoogle Scholar
  2. 2.
    Z. W. Dong, J. Wu, and X. J. Du, “Research on fatigue life prediction of gear box in caterpillar based on running simulation test,” Appl. Mech. Mater., 226–228, 627–631 (2012).CrossRefGoogle Scholar
  3. 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
  4. 4.
    C. Z. Jia, X. J. Du, and G. S. Liu, “Simulation analysis and improvement of dynamic characteristics of gun impact buffer device,” J. Mech. Eng., 48, No. 19, 156–163 (2012).CrossRefGoogle Scholar
  5. 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. 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
  7. 7.
    X. J. Du, C. Z. Jia, Z. W. Dong, and Q. X. Zhang, “Application of interface-based co-simulation in dynamic optimization design,” J. Mech. Eng., 44, No. 8, 123–131 (2008).CrossRefGoogle Scholar
  8. 8.
    H. D. Shen, Z. Q. Li, L. L. Qi, and L. Qiao, “A method for gear fatigue life prediction considering the internal flow field of the gear pump,” Mech. Syst. Signal Pr., 99, 921–929 (2018).CrossRefGoogle Scholar
  9. 9.
    F. Zhao, Z. Tian, E. Bechhoefer, and Y. Zeng, “An integrated prognostics method under time-varying operating conditions,” IEEE Trans. Reliab., 64, No. 2, 673–686 (2015).CrossRefGoogle Scholar
  10. 10.
    Q. B. Cui, A Self-Propelled Artillery Box Dynamics Simulation and Life Prediction, Ordnance Engineering College, Shijiazhuang (2005).Google Scholar
  11. 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. 12.
    G. L. Xiong, B. Guo, and X. B. Chen, Collaborative Simualation & Virtual Propotyping, Tsinghua University Press (2004).Google Scholar
  13. 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. 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. 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. 16.
    Committee of Planetary Transmission of Involute Gear’s Design and Manufacturing, China Machine Press, Beijing (2002).Google Scholar
  17. 17.
    D. L. Wu, Research on Road Simulation of Self-Propelled Gun, Ordance Engineering College, China (2004), pp. 60–75.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.College of Vocational and TechnicalHebei Normal UniversityShijiazhuangChina
  2. 2.Department of PhysicsHebei Normal UniversityShijiazhuangChina

Personalised recommendations