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

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 perfo...

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Vydáno v:Journal of mechanical science and technology Ročník 35; číslo 8; s. 3519 - 3531
Hlavní autoři: Ren, Peirong, Zuo, Zhengxing, Huang, Weiqing
Médium: Journal Article
Jazyk:angličtina
Vydáno: Seoul Korean Society of Mechanical Engineers 01.08.2021
Springer Nature B.V
대한기계학회
Témata:
Artificial neural networks
Asperity
Contact pressure
Control
Dynamical Systems
Engineering
Genetic algorithms
Industrial and Production Engineering
Internal combustion engines
Mechanical Engineering
Multiple objective analysis
Numerical methods
Optimization
Original Article
Pareto optimization
Particle swarm optimization
Vibration
기계공학
Axial profile
Neural network fitting
Bearing performance
Particle swarm algorithm
Genetic algorithm
ISSN:1738-494X, 1976-3824
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Shrnutí: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.
Bibliografie:ObjectType-Article-1
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ISSN:1738-494X
1976-3824
DOI:10.1007/s12206-021-0724-8