ZHAN Xiao-jun1, JIANG Li-zheng1,2, PAN Bai-song1

(1.Key Laboratory of E&M , Ministry of Education & Zhejiang Province, Zhejiang University

of Technology, Hangzhou 310014, China; 2.Mechanical Engineering Branch Institute,

Zhejiang Institute of Mechanical & Electrical Engineering, Hangzhou 310053, China)

Abstract: Aiming at the large weight and hight cost of the machine tool bed, the reliability optimization method was investigated. The dynamic characteristics of the machine tool bed were researched, the reliability optimization response surface mathematical model was established with the integration of Pro/E, ANSYS and Isight, and the influence of design variables on dynamic characteristics was analyzed . By taking the minimum weight of the machine tool bed as the design objective,by using the reliability of dynamic characteristics as the constraint,the reliability optimization for the thickness of the machine tool bed ,the thickness and the number of the stiffeners were carried out based on the multi-island genetic algorithm.The results show that the weight of the machine tool bed decreases by 15.23% and the reliability of dynamic characteristics is improved from 99.971% to 99.99999% after the optimization.

Key words: machine tool bed; dynamic characteristics; multi-island genetic algorithm; reliability optimization; Isight