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基于NSGA-Ⅱ算法的车身薄板零件公差优化 被引量:2

Optimization of Auto-Body Sheet Metal Part Tolerance Based on NSGA-Ⅱ Algorithm
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摘要 在汽车制造工业产品开发过程中,需要同时考虑质量与成本之间的矛盾。盲目提高质量要求,将使产品制造成本增加;随意降低成本,则有可能影响质量,导致客户投诉和返修率上升。首先建立概念设计阶段的装配偏差分析模型,用来分析车身装配质量;并选取指数函数作为公差成本函数,以此为基础建立多目标优化模型,然后采用NSGA-II算法优化各个零件的公差。最后利用车身侧围框架案例阐述零件公差分配过程,获得了多目标函数的Pareto解集,取得了较好的优化效果。 The contradiction of dimension quality and manufacturing cost should be considered during the process of developing automobile products.The manufacturing cost will be increased and the market competitivenss will be decreased if the quality requirement is improved blindly.Reducing cost at random may affect the quality,which may causes the increasing of complaint and repair rate.First the assembly quality of auto-body is analyzed by the assembly variation analysis model of concept design.Then the exponential function is used to establish cost-tolerance function.And a multi-objective model is established based on the above.Moreover,the tolerance of each part is optimized by NSGA-Ⅱ algorithm.Finally the auto-body side frame is used to illustrate the process of assembly allocation and the multi-objective Pareto optimal solution set is obtained.The results show that the algorithm can get good effects in optimizing part tolerance.
出处 《机械设计与制造》 北大核心 2012年第8期61-63,共3页 Machinery Design & Manufacture
基金 国家自然科学基金(51105241) 上海市自然科学基金(11ZR1414700)
关键词 公差 NSGA-Ⅱ算法 多目标优化 Tolerance NSGA-Ⅱ Algorithm Multi-Objective Optimization
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参考文献7

  • 1Speckhart F H.Calculation of Tolerance Based on a Minimum Cost Approach [ J ].Journal of Engineering for Industry, 1992,94(2) : 447-453.
  • 2Spotts M F.Allocation of Tolerance to Minimize Cost of Assembly [J]. Journal of Engineering for Industry, 1973,95 ( 3 ): 762-764.
  • 3Dupinet E.Tolerance allocation based on fuzzy logic and simulated annealing [ J ].Journal of Intelligent Manufacturing, 1996(7 ) : 487-497.
  • 4方红芳,吴昭同.并行公差设计与工艺路线技术经济评价方法[J].机械工程学报,2000,36(4):74-77. 被引量:21
  • 5Chase K W.Tolerance Analysis of 2-D and 3-D Assemblies L R J.ADCATS Report No, 2009: 99-4.
  • 6Deb K,Pratap A,Agarwal S,Meyarivan T.A Fast and Elitist Multi- objective Genetic Algorithm: NSGA-II [J].IEEE Transactions on Evolutionary Computation, 2002,6(2) : 182-197.
  • 7奉铜明,钟志华,闫晓磊,陈瑜.基于NSGA-Ⅱ算法的多连杆悬架多目标优化[J].汽车工程,2010,32(12):1063-1066. 被引量:24

二级参考文献11

  • 1宋健,石磊.多连杆式前悬架主销轴线的确定[J].公路交通科技,2001,18(6):99-102. 被引量:8
  • 2Lee D M A,Pascoe D M,Maragy W H El.An Analysis of Multilink Independent Suspension Systems[J].International Journal of Vehicle Design,1993,14:44-58.
  • 3Mohamed M G,Attia H A.Numerical Kinematic Analysis of the Motor-vehicle Multilink Suspension System[C].ASME Design Engineering Technical Conferences,1995:883-889.
  • 4Knapczyk J,Dzierzek S.Displacement and Force Analysis of Five-rod Suspension with Flexible Joints[J].Journal of Mechanical Design 1995,117:532-538.
  • 5Unkoo L,Byeongeui A.Method to Analyze the Imaginary Kingpin Axis in Multi-link Type Suspension Systems[J].SAE Paper 930262.
  • 6Simionescu P A,Beale D.Synthesis and Analysis of the Five-link Rear Suspension System Used in Autombiles[J].Mechanism and Machine Theory,2002,37:815-832.
  • 7Deb K,Prata PA,Agarwal S,et al.A Fast and Elitist Multi-objective Genetic Algorithm:NSGA-Ⅱ[J].IEEE Transactions on Evolutionary Computation,2002(6):182-197.
  • 8方红芳,博士学位论文,1997年
  • 9杨将新,博士学位论文,1996年
  • 10刘桂萍,韩旭,姜潮.基于微型多目标遗传算法的薄板冲压成形变压边力优化[J].中国机械工程,2007,18(21):2614-2617. 被引量:16

共引文献43

同被引文献15

  • 1TAKEZAWA N. An Improved Method for Establishing the Process Wise Quality Standard [J], Reports of Statistical and Applied Research, Union of Japanese Scientists and Engineers, 1980, 27 (3): 63-76.
  • 2LIU S. C., HU S. J. Variation Simulation for Deformable Sheet Metal Assembly Using Finite Element Methods [J]. Journal of Manufacturing Science and Engineering, 1997,119(3): 368-374.
  • 3HSIEH C. C., OH K. P. Simulation and Optimization of Assembly Processes Involving Flexible Parts [J]. Internal Journal of Vehicle Design, 1997, 18 (5): 455-465.
  • 4CAMELIO J., HU SJ. Modeling Variation Propagation of Multi-station Assembly Systems with Compliant Parts [J]. Journal of Mechanical Design, 2003, 125( 12): 673-681.
  • 5DAHLSTOM S., LARS L. Variation Simulation of Sheet Metal Assemblies Using the Method of Influence Coefficients with Contact Modeling [J]. Journal of Manufacturing Science and Engineering, 2007, 129 (3): 615- 622.
  • 6UNGEMACH G., MANTWILL F. Efficient Consideration of Contact in Compliant Assembly Variation Analysis [J]. Journal of Manufacturing Science and Engineering, 2009, 131( 1 ):0O11005.1-011005.9.
  • 7LIAO X. Y., WANG G. G. Wavelets-based Method for Variation Analysis of Non -rigid Assemblies [ J ]. International Journal of Machine Tools & Manufacture, 2005, 45( 14): 1551-1559.
  • 8CAI W., HU S. J., YUAN J. X. Deformable Sheet Metal Fixturing: Principles, Algorithms and Simulations [J]. ASME Journal of Manufacturing Science and Engineering, 1996, 118(3): 318-324.
  • 9CAMELIO J., HU S. J., CEGLAREK D. Impact of Fixture Design on Sheet Metal Assembly Variation [ J ]. Journal of Manufacturing Systems, 2004, 23(3): 182-193.
  • 10匡兵,黄美发,钟艳如.尺寸公差与形位公差混合优化分配[J].计算机集成制造系统,2008,14(2):398-402. 被引量:17

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