中国机械工程 ›› 2015, Vol. 26 ›› Issue (11): 1542-1549.

• 材料工程 • 上一篇    下一篇

采用响应窗评价的薄板变形稳健性研究

段利斌1;陈琢1;宋凯1;曾思琴2;张红民2;刘九五1   

  1. 1.湖南大学汽车车身先进设计制造国家重点实验室,长沙,410082
    2.湖南湖大艾盛汽车技术开发有限公司,长沙,410082
  • 出版日期:2015-06-10 发布日期:2015-06-05
  • 基金资助:
    国家国际合作计划资助项目(2014DFG71590);广西科技计划重大专项(桂科重1348003-5);湖南省科技计划重点资助项目(2013TT1006);湖南大学“青年教师成长计划”资助项目 
    International S&T Cooperation Program of China( No. 2014DFG71590);
    Guangxi Provincial Science and Technology Major Project ( No. 1348003-5);
    Hunan Provincial Science and Technology program ( No. 2013TT1006)

Research on Robustness of Sheet Metal Deformation Using Response Window

Duan Libin1;Chen Zhuo1;Song Kai1;Zeng Siqin2;Zhang Hongmin2;Liu Jiuwu1   

  1. 1.State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body,Hunan University,Changsha,410082
    2.Aisn Auto R&D Co.,Ltd.,Changsha,410082
  • Online:2015-06-10 Published:2015-06-05
  • Supported by:
     
    International S&T Cooperation Program of China( No. 2014DFG71590);
    Guangxi Provincial Science and Technology Major Project ( No. 1348003-5);
    Hunan Provincial Science and Technology program ( No. 2013TT1006)

摘要:

针对薄板件在外力及噪声因素共同作用下出现的变形不确定及稳健性低的现状,对薄板件在各偏差源影响下的变形进行了研究。以定位元件数量、位置,外部作用力大小、面积为控制因子,装夹参数误差、外部作用力误差、材料性能误差为噪声因子,首先对随机噪声因素进行描述性随机抽样,再对控制因子进行试验设计,通过有限元模拟得到薄板件在控制参数各水平组合下的有效变形及响应窗,进而得到变形合理、稳健性高的控制策略区间。以汽车顶盖搬运过程中的变形为例,运用该控制策略,可以有效减小其在外力作用下的变形,并提高稳健性。

关键词: 描述性随机抽样, 试验设计, 响应窗, 稳健性, 薄板变形

Abstract:

Based on uncertain deformation and low robustness of sheet metal deformation, considering noise factors, the influences of random variations were studied. The control factors were as the numbers and positions of the locating points, the sizes and areas of the extend forces. The noise factors were as fixture variations and material variations. Descriptive sampling was applied to random noise factors. Through DOE and finite element simulation, the effective deformations and response windows in all levels were obtained. The goal control strategy might be obtained by analyzing the above data. The examples indicate that the analysis method can successfully analyze and solve the problem of the robustness of sheet metal deformation when considering noise factors. So, the method provides an important and significant idea to reduce the deformation and improves the robustness of sheet metal.

Key words: descriptive sampling, design of experiment(DOE), response window, robustness, sheet metal deformation

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