基于人工智能技术的轮胎磨损性能优化  

Optimization on tire wear performance based on artificial intelligence technology

作　　者：张建[1] 唐文献[1] 王晨[2] 王国林[2] 应世洲[3] 

机构地区：[1]江苏科技大学机械工程学院,江苏镇江212003 [2]江苏大学汽车与交通工程学院,江苏镇江212013 [3]风神轮胎股份有限公司,河南焦作454003

出　　处：《橡胶工业》2010年第11期655-658,共4页China Rubber Industry

基　　金：高等学校博士点基金项目(20070299006);江苏省六大人才高峰项目(07D019)

摘　　要：利用三维有限元分析软件,在正交试验设计、神经网络和遗传算法的基础上,提出一种新的结构优化方法,以12.00R20子午线轮胎的带束层结构为设计变量,以轮胎接地压力分布的偏度值为目标函数进行优化分析。数值和试验分析表明,该方法可以优化轮胎接地压力分布,改善轮胎磨损性能。Based on orthogonal experimental design,neural network and genetic algorithm,a new optimization approach for determination of structural parameters was presented by using 3D finite element software.The belt structural parameters of 12.00R20 tire were chosen as the design variables,and the skewness value of contact pressure distribution was selected as target variable.The numerical and experimental analysis confirmed that the optimization technique could lead to a final optimum distribution of contact pressure and better wear performance.

关 键 词：子午线轮胎 磨损 人工智能 

分 类 号：TQ336.1[化学工程—橡胶工业] O241.82[理学—计算数学]