双主轴铣削加工中心立柱的静动特性分析及多目标优化
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  • 英文篇名:Static and Dynamic Characteristic Analysis and Multi-Objective Optimization for the Column of Double Spindle Milling Center
  • 作者:杨建交 ; 张俊 ; 赵慧 ; 王奎章 ; 段红海
  • 英文作者:YANG Jianjiao;ZHANG Jun;ZHAO Hui;WANG Kuizhang;DUAN Honghai;School of Mechanical & Auto Engineering,Hubei University of Arts & Science;College of Mechanical Automation,Wuhan University of Science and Technology;Hubei Wanmeng CNC Machine Tool Group Co.,Ltd.;
  • 关键词:龙门立柱 ; 静、动态特性分析 ; 多目标优化 ; 灵敏度分析
  • 英文关键词:Gantry column;;Static and dynamic characteristic analysis;;Multi-objective optimization;;Sensitivity analysis
  • 中文刊名:JCYY
  • 英文刊名:Machine Tool & Hydraulics
  • 机构:湖北文理学院机械与汽车工程学院;武汉科技大学机械自动化学院;湖北万盟数控机床集团有限公司;
  • 出版日期:2018-02-28
  • 出版单位:机床与液压
  • 年:2018
  • 期:v.46;No.454
  • 语种:中文;
  • 页:JCYY201804014
  • 页数:5
  • CN:04
  • ISSN:44-1259/TH
  • 分类号:59-63
摘要
针对采用传统方法设计的立柱静、动刚度存在薄弱和不足的问题,通过建立立柱受力模型,对立柱进行静力分析、模态分析以及谐响应分析,确定立柱静动刚度薄弱的部位和方向;根据分析结果,选取8个结构尺寸为设计变量,以总变形量、前3阶频率加权平均值和质量为优化目标,建立多目标优化数学模型,通过多目标遗传算法和灵敏度分析得到优化结果。结果表明:立柱总变形量减小了5.5%,质量减少了1.2%,前3阶频率加权平均值增加了2.17%,X、Y方向峰值响应分别减小了75.5%、75.44%,达到了优化的目的。
        In order to solve the problem that column designed with traditional method was weak and insufficient in static and dynamic characteristic,through the establishment of the force model of the column,static analysis,modal analysis and harmonic response analysis were carried out to determine the position and direction of weak of the column. According to the analysis results,8 structural dimensions were selected as design variables; the total deformation,the weighted average of the first three orders frequency and quality were taken as optimization objectives,a multi-objective optimization mathematical model was established,the optimization results were obtained by the multi-objective genetic algorithm and sensitivity analysis. The results show that the total deformation is reduced by 5. 5%,total mass is reduced by 1. 2%,the weighted average of the first three orders frequency is increased by 2. 17%,the peak response of X and Y direction are reduced by 75. 5% and 75. 44%,reaching optimization purposes.
引文
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