会议专题

Optimization on Stiffness of Car Body Based on Response Surface Methodology with Moving Least Squares

In order to optimize the stiffness of car body, Latin design of experiment method is taken to design sample for 300 times. Fitting approximate models of response surfaces with moving least squares methodology are inducted in torsion stiffness optimization, in which the disadvantage of lower precision with least squares methodology is avoided and the relative error percentage is less than 3%. Adaptive response surface optimization methodology is used to optimize approximate models. Optimized plan of changing the thicknesses of front beams and front wheel houses mainly is confirmed. As mass increasing by 6.21 %, torsion stiffness increases by 34.85%. The thicknesses of some parts are configured reasonably.

response surfac , moving least square methodology optimization , car body stiffnes.

Hao Qi Sun Yuan

Automotive Dept Hubci University of Automotive Technology ShiYan.China Languages Dept Hubei University of Automotive Technology ShiYan.China

国际会议

2010 3rd IEEE International Conference on Computer Science and Information Technology(第三届IEEE计算机科学与信息技术国际会议 ICCSIT 2010)

成都

英文

615-619

2010-07-07(万方平台首次上网日期,不代表论文的发表时间)