文献类型：期刊文献

中文题名：基于遗传算法的轮式挖掘机折叠动臂轻量化设计

英文题名：Weight-reduction Design of The Folding Boom of Wheel Excavator Based on The Genetic Algorithm

作者：李兆安 陈海虹 刘彦峰

第一作者：李兆安

机构：[1]贵州大学机械工程学院,贵州贵阳550025;[2]贵州理工学院机械工程学院,贵州贵阳550003

第一机构：贵州大学机械工程学院,贵州贵阳550025

年份：2016

卷号：34

期号：8

起止页码：29-31

中文期刊名：机械与电子

外文期刊名：Machinery & Electronics

收录：CSTPCD

基金：贵州省科学技术基金(黔科合J字[2012]2107号);贵州理工学院高层次人才科研启动经费项目(XJGC20160606)

语种：中文

中文关键词：轮式挖掘机;折叠式动臂;轻量化设计;遗传算法;应力分析

外文关键词：wheel excavator; folding boom; weight - reduction design; genetic - algorithm; stress analysis

摘要：以某型轮式挖掘机折叠动臂工作装置为研究对象,针对其工作要求和工况特点对动臂结构进行分析,以质量最小为目标函数,依据强度、刚度等性能要求构建优化数学模型。考虑约束非线性规划问题的特点,采用遗传算法进行参数优化,以所得参数建模导入ANSYS软件进行应力分析。所得结果表明,此方法能有效的减轻前动臂质量,达到轻量化设计的预期目标。
Working device with a certain type of folding boom of wheel excavator as the research object, according to the characteristics of the work requirement and working condition of boom structure is analyzed. The minimum mass as objective function, performance optimization mathematical model accord- ing to the strength, stiffness and so on was constructed. Considering the characteristics of the constrained nonlinear programming problems, the genetic algorithm （ga） is used to optimize parameters,then the para- metric modeling into ANSYS software for stress analysis. The results showed that this method can effec- tively reduce upper boom quality, achieve the anticipated goal of weight - reduction design.