半挂车支承装置的轻量化研究  

Research on the lightweight of semi-trailer support device

作　　者：刘荣[1] 孙桓五[1] 陈新志[1] 柳宁[1] 周钦[1] 

机构地区：[1]太原理工大学机械工程学院,太原市030024

出　　处：《中国农机化学报》2015年第1期223-226,205,共5页Journal of Chinese Agricultural Mechanization

基　　金：太原市科技明星项目(11014922)--半挂车车架轻量化与模块化设计系统开发研究(2011-1)

摘　　要：在对半挂车支承装置进行有限元分析的基础上,确定了支承装置中具有强度冗余的零部件和不合理的结构设计。在满足支撑装置工作强度的前提下,以内、外支撑壳的壁厚为设计变量,采用基于神经网络的响应面法训练样本,通过遗传算法完成对内、外壳重量的优化设计,优化后整体结构质量降低26.6%,实现了轻量化设计。本文的分析与优化数据为支承装置的结构优化及新型支承装置的开发提供了重要的参考依据。The strength redundant components and unreasonable structure design of the supporting device were found out on the basis of the finite element analysis of the semi-trailer support device. Under the premise to meet the strength of the support device, the thickness of the inner and outer shell was used as design variables. Response surface method based on neural network was used to select the sample and genetic algorithm was used to complete the optimization design of the inner and outer shell weight. The quality of the optimized structure decreased by 26.6% and the light-weight design was achieved as well. These analyses and optimization data provide an important reference for supporting devices structure optimization and the development of new support device.

关 键 词：有限元 半挂车支承装置 多目标遗传算法 轻量化 

分 类 号：U463.99[机械工程—车辆工程]