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Effects of axial profile on the main bearing performance of internal combustion engine and its optimization using multiobjective optimization algorithms

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Abstract

The effects of axial profile parameters on the main bearing performance of the engine were investigated through the numerical method based on elasto-hydrodynamic lubrication theory, average flow, and asperity contact model. Results show that quadratic profile significantly improves the bearing performance, and the influence of profile varies with its width-to-height ratio. The performance is most improved when the ratio is between 0.8 and 2. An artificial neural network fitting model was developed to predict bearing performance, and multiobjective optimum analyses were performed using genetic algorithm and particle swarm optimization. The optimization goals are average peak asperity contact pressure and average total friction loss. The obtained Pareto front roughly includes three groups, and solutions in group 1 achieve a balance of the two goals, with a width-to-height ratio of 1.5–2. Finally, bearing friction tests were conducted on four profiled bearings to verify the simulation model and optimization results.

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Abbreviations

PACP:

Peak asperity contact pressure

MOFT:

Minimum oil film thickness

POFP:

Peak oil film pressure

PTP:

Peak total pressure

TFL:

Total friction loss

ACFL:

Asperity contact friction loss

ACP:

Asperity contact percentage

OF:

Oil flow

ANN:

Artificial neural network

GA:

Genetic algorithm

PSO:

Particle swarm optimization

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Acknowledgments

This work was supported by the Vehicle Power Basic Research and Innovation Program of China [grant numbers 201820329076].

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Authors and Affiliations

  1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China

    Peirong Ren, Zhengxing Zuo & Weiqing Huang

Authors
  1. Peirong Ren
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  2. Zhengxing Zuo
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  3. Weiqing Huang
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Corresponding author

Correspondence to Weiqing Huang.

Additional information

Peirong Ren is currently a Ph.D. candidate at the School of Mechanical Engineering, Beijing Institute of Technology, China. His research interests include simulation and analysis of bearing performance and fatigue strength analysis of power machinery.

Weiqing Huang is currently an Assistant Professor at the School of Mechanical Engineering, Beijing Institute of Technology, China. He received his Ph.D. degree from Beihang University. His research interests include strength/damage assessment and fatigue prediction of aero-engine/ICEs hot-end component.

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Ren, P., Zuo, Z. & Huang, W. Effects of axial profile on the main bearing performance of internal combustion engine and its optimization using multiobjective optimization algorithms. J Mech Sci Technol 35, 3519–3531 (2021). https://doi.org/10.1007/s12206-021-0724-8

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  • DOI: https://doi.org/10.1007/s12206-021-0724-8

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