RESEARCH ARTICLE

Iteration framework for solving mixed lubrication computation problems

  • Shi CHEN 1 ,
  • Nian YIN 1 ,
  • Xiaojiang CAI 2 ,
  • Zhinan ZHANG , 1
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  • 1. State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China
  • 2. Shanghai Aerospace Control Technology Institute, Shanghai 201109, China; Shanghai Key Laboratory of Aerospace Intelligent Control Technology, Shanghai 201109, China

Received date: 22 Sep 2020

Accepted date: 13 Feb 2021

Published date: 15 Sep 2021

Copyright

2021 Higher Education Press

Abstract

The general discrete scheme of time-varying Reynolds equation loses the information of the previous step, which makes it unreasonable. A discretization formula of the Reynolds equation, which is based on the Crank–Nicolson method, is proposed considering the physical message of the previous step. Gauss–Seidel relaxation and distribution relaxation are adopted for the linear operators of pressure during the numerical solution procedure. In addition to the convergent criteria of pressure distribution and load, an estimation framework is developed to investigate the relative error of the most important term in the Reynolds equation. Smooth surface with full contacts and mixed elastohydrodynamic lubrication is tested for validation. The asperity contact and sinusoidal wavy surface are examined by the proposed discrete scheme. Results show the precipitous decline in the boundary of the contact area. The relative error suggests that the pressure distribution is reliable and reflects the accuracy and effectiveness of the developed method.

Cite this article

Shi CHEN , Nian YIN , Xiaojiang CAI , Zhinan ZHANG . Iteration framework for solving mixed lubrication computation problems[J]. Frontiers of Mechanical Engineering, 2021 , 16(3) : 635 -648 . DOI: 10.1007/s11465-021-0632-8

Acknowledgements

This study was financially supported by the National Natural Science Foundation of China (Grant No. U1637206), Shanghai Academy of Spaceflight Technology Projects (Grant Nos. SAST2017-079 and USCAST2019-25), and the State Key Laboratory of Mechanical System and Vibration (Grant No. MSVZD201912).
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