The Application of Genetic Algorithm in Valve Spring Optimization Design of Internal Combustion Engine

Article Preview

Abstract:

This paper described examples of genetic algorithm in valve spring optimization design of internal combustion engine, which solve the optimal values of the design variables by constructing multi-objective function. The technical problems that complex performance can't be considered in the calculation were solved in designing the spring, the method has many advantages such as simple universal, strong robustness, and wide application range; it is an essential and critical intelligent computing technology in the future mechanical optimization design.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

810-813

Citation:

Online since:

March 2015

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Chen guoliang, and Wang Dongsheng: Genetic Algorithm and Its Application (Posts & Telecom Press, China 1996).

Google Scholar

[2] Luo Youxin: The Application of Genetic Algorithm in Optimization of Mechanical Design. MachineryVol. 8-11 (1996), p.21.

Google Scholar

[3] YouGuozhong, ZhaoXiaodan, WangZhong, and MeiDeqing: The Application of Genetic Algorithm in Cam OptimizationDesign of Diesel Engines. Journal of Jiangsu UniversityVol. 31-34 (2000), p.21.

Google Scholar

[4] QiaoMingxing: The Optimum Design of Engine Valve Spring. Science and Technology of West ChinaVol. 30-31 (2010), p.218.

Google Scholar

[5] Jiang Yunzheng, and Zheng Dasu: Structural Optimization (Harbin Engineering University Press, China 1996).

Google Scholar