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Multi-objective optimization design of engine crankshaft bearing

Jun Sun (School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei, China)
Lei Shu (School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei, China)
Xianhao Song (School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei, China)
Guangsheng Liu (School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei, China)
Feng Xu (School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei, China)
Enming Miao (School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology, Hefei, China)
Zhihao Xu (School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei, China)
Zheng Zhang (School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei, China)
Junwei Zhao (School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei, China)

Industrial Lubrication and Tribology

ISSN: 0036-8792

Article publication date: 8 February 2016

628

Abstract

Purpose

This paper aims to use the crankshaft-bearing system of a four-cylinder internal combustion engine as the studying object, and develop a multi-objective optimization design of the crankshaft-bearing. In the current optimization design of engine crankshaft-bearing, only the crankshaft-bearing was considered as the studying object. However, the corresponding relations of major structure dimensions exist between the crankshaft and the crankshaft-bearing in internal combustion engine, and there are the interaction effects between the crankshaft and the crankshaft-bearing during the operation of internal combustion engine.

Design/methodology/approach

The crankshaft mass and the total frictional power loss of crankshaft-bearing s are selected as the objective functions in the optimization design of crankshaft-bearing. The Particle Swarm Optimization algorithm based on the idea of decreasing strategy of inertia weight with the exponential type is used in the optimization calculation.

Findings

The total frictional power loss of crankshaft-bearing and the crankshaft mass are decreased, respectively, by 26.2 and 5.3 per cent by the multi-objective optimization design of crankshaft-bearing, which are more reasonable than the ones of single-objective optimization design in which only the crankshaft-bearing is considered as the studying object.

Originality/value

The crankshaft-bearing system of a four-cylinder internal combustion engine is taken as the studying object, and the multi-objective optimization design of crankshaft-bearing based on the crankshaft-bearing system is developed. The results of this paper are helpful to the design of the crankshaft-bearing for engine. There is universal significance to research the multi-objective optimization design of crankshaft-bearing based on the crankshaft-bearing system. The research method of the multi-objective optimization design of crankshaft-bearing based on the crankshaft-bearing system can be used to the optimization design of the bearing in the shaft-bearing system of ordinary machinery.

Keywords

Acknowledgements

The authors would like to express their gratitude to the Committee of National Natural Science Foundation of China (50975073, 51490660/51490661) for financial support of the research and for permission to publish this article.

Citation

Sun, J., Shu, L., Song, X., Liu, G., Xu, F., Miao, E., Xu, Z., Zhang, Z. and Zhao, J. (2016), "Multi-objective optimization design of engine crankshaft bearing", Industrial Lubrication and Tribology, Vol. 68 No. 1, pp. 86-91. https://doi.org/10.1108/ILT-03-2015-0040

Publisher

:

Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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