期刊文献+

薄板件焊装仿真零件定位偏差的计算方法 被引量:2

Study on the Calculation Method of Part Positioning Variation in Sheet Metal Welding Assembly Simulation
原文传递
导出
摘要 使用数字化匹配技术,可有效缩短新车型的开发周期、降低成本和提高车身装配质量,核心是有限元仿真模型的精度。仿真模型中定位偏差的计算是否正确,直接影响模型的分析精度,夹具偏差和零件偏差是主要影响因素,二者共同决定零件定位偏差。通过对夹具与零件偏差的相互作用分析,给出了零件定位偏差的计算方法,并利用Abaqus软件进行了焊装验证。结果表明,所述定位偏差的计算方法是正确、有效的,为进一步利用仿真分析模型进行公差分析预测,实现设计制造的并行开发提供了必要条件。 Eoth the variations of fixture and part are the major influential factors of compliant sheet metal assembly variations,which decide the part positioning variation together.It's essential to make accurate analysis of part positioning variation for improving the accuracy of the simulation analysis.Through analysis of impacts between fixture variations and part geometric variations,the paper presents a calculation method of part positioning variation and carried out an experiment by Abaqus.The result validates that the method is accurate and effective.Tolerance analysis and prediction,and parallel development of design and manufacture can be further achieved by using the improved simulation model.
出处 《机械设计与研究》 CSCD 北大核心 2010年第2期54-58,共5页 Machine Design And Research
基金 国家自然科学基金资助项目(50705056) 国家863计划资助项目(2006AA04Z148)
关键词 薄板件 ABAQUS 装配偏差仿真 零件定位偏差 compliant sheet metal Abaqus welding assembly variation simulation part positioning variation
  • 相关文献

参考文献10

  • 1Richard J Gerth.VIRTUAL FUNCTIONAL BUILD FOR BODY ASSEMBLY[C]// 2005 ASME International Mechanical Engineering Congress and Exposition,Orlando,Florida USA,November5-11,2005.
  • 2连军,林忠钦,来新民,等.虚拟车身开发中的装配偏差仿真分析[C]//2001年中国机械工程学会年会暨第九届全国特种加工学术年会论文集,北京:机械工业出版社,2001:511-515.
  • 3J Camelio,S Jack Hu.Modeling Variation Propagation of MultiStation Assembly Systems With Compliant Parts[J].Journal Mechanical Design,2003,125(4):673-681.
  • 4Dahlstom S.Rikard.Analysis of final geometry due to welding process effects in sheet metal assemblies[C]// International Program Committee of TMCE 2002 Symposium.Wuhan,China,2002:351-60.
  • 5Dahlstom S Lars.Variation simulation of sheet metal assemblies using the method of infhience coefficients with contact modeling[J].Journal of Manufacturing Science and Engineering,2007,129(3):615-622.
  • 6W Cai,PC Wang,W Yang.Assembly Dimensional Prediction for Self-Piercing Riveted Aluminum Panels[J].Int.J.Mach.Tools Manuf.,2005,45 (6):695-704.
  • 7胡敏,来新民,林忠钦,陈关龙1干频,祝俊皓,周立波.车体多柔性件装配的误差分析[J].上海交通大学学报,2000,34(10):1365-1368. 被引量:15
  • 8Ding Yu,Kim P,Ceglarek D.Optimal Sensor Distribution for Variation Diagnosis in Multistation Assembly Processes[J].IEEE Transactions on Robotics and Automation,2003,19 (4):543-556.
  • 9Xing Yanfeng,Jin Sun,Chen Guanlong,et al.Variation Analysis Model for Sheet Metal Assemblies with Different Fixture Cortfigurations[C]// Proceedings of the 8th International Conference on Frontiers of Design and Manufacturing,Tianjin,China,September 23-26,2008.
  • 10K Yu,S Jin,X Lai.Modeling and analysis of compliant sheet metal assembly variation[J].Assembly Automation,2008,28 (3):225-234.

二级参考文献2

  • 1Liu S C,J Mechanical Design,1996年,118卷,3期,62页
  • 2Liu S C,Int J Mach Tool Manufact,1995年,35卷,11期,1545页

共引文献14

同被引文献15

引证文献2

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部