Volume 39 Issue 5
May  2013
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Sun Zhanlei, Zhao Gang, Han Pengfei, et al. Assembly sequence planning for aircraft based on non-orthogonalinterference matrix[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(5): 615-620. (in Chinese)
Citation: Sun Zhanlei, Zhao Gang, Han Pengfei, et al. Assembly sequence planning for aircraft based on non-orthogonalinterference matrix[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(5): 615-620. (in Chinese)

Assembly sequence planning for aircraft based on non-orthogonalinterference matrix

  • Received Date: 23 Jan 2013
  • Rev Recd Date: 16 Apr 2013
  • Publish Date: 31 May 2013
  • Aircraft components assemblies contain many curved features in surface, complex relationships and multiple connects between parts, which make it difficult to design assembly process. A novel assembly sequence planning methodology based on non-orthogonal interference matrix was proposed. By analyzing the features of the part to be assembled, non-orthogonal assembly directs were extracted. The non-orthogonal interference matrixes were established. The method of deriving assembly feasibility was given to realize assembly sequence planning automatically. The sequences were optimized utilizing genetic algorithm, in which assembly time was used as the objective function. The assembly of the aircraft cabin door was simulated based on MATLAB platform. The simulation results indicate that the method implements simply. Assembling ability and efficiency are improved significantly compared to traditional method based on orthogonal interference matrix.

     

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  • [1]
    张烨,宁汝新,刘检华.面向虚拟装配的装配序列规划技术研究[J].计算机集成制造系统,2006,12(1):91-94
    Zhang Ye,Ning Ruxin,Liu Jianhua.Research on assembly sequence planning oriented to virtual assembly[J].Computer Integrated Manufacturing System,2006,12(1):91-94(in Chinese)
    [2]
    Marian R M,Luong L H S,Abhary K.A genetic algorithmfor the optimization of assembly sequences[J].Computers & Industrial Engineering,2006,50(4):503-527
    [3]
    陈天凡,汤文成.基于干涉矩阵的装配序列规划[J].机械制造与自动化,2007,36(1):39-41
    Chen Tianfan,Tang Wencheng.Assemblysequence planning based on clashes matrix[J].Machine Building & Automation,2007,36(1):39-41(in Chinese)
    [4]
    Dini G,Santochi M.Automated sequencing and subassembly detection in assembly planning[J].CIRP Annals-Manufacturing Technology,1992,41(1):1-4
    [5]
    于宏,王成恩,于嘉鹏,等.基于粒子群算法的复杂产品装配序列规划[J].东北大学学报:自然科学版,2010,31(2): 261-264
    Yu Hong,Wang Cheng'en,Yu Jiapeng,et al.Assembly sequence planning based on particle swarm optimization algorithm for complex product[J].Journal of Northeastern University:Natural Science,2010,31(2):261-264(in Chinese)
    [6]
    彭涛,李世其,王峻峰,等.基于集成干涉矩阵的蚁群装配序列规划[J].计算机科学,2010,37(4):179-204
    Peng Tao,Li Shiqi,Wang Junfeng,et al.Integrated interference matrix based ant colony algorithm for assembly sequence planning[J].Computer Science,2010,37(4):179-204(in Chinese)
    [7]
    于嘉鹏,王成恩,张闻雷,等.基于优先规则筛选的装配序列规划方法[J].东北大学学报,2009,30(11):1637-1640
    Yu Jiapeng,Wang Cheng'en,Zhang Wenlei,et al.Assemblysequence planning based on screening of priority rules[J].Journal of Northeastern University:Natural Science,2009,30(11): 1637-1640(in Chinese)
    [8]
    Yang Liuying,Zhao Gang,Wu Binbin,et al.Assembly sequence planning for aircraft component based on improved clashes matrix[J].Applied Mechanics and Materials,2011(88/89):22-28
    [9]
    吴昇,崔汉国.基于图论和蚁群算法的虚拟装配序列规划研究[J].计算机工程与设计,2009,30(9):2270-2273
    Wu Sheng,Cui Hanguo.Virtual assembly sequence planning based on graphics theory and ant colony optimization[J].Computer Engineering and Design,2009,30(9):2270-2273(in Chinese)
    [10]
    Bonneville F,PerrardC,Henrioud J M.A genetic algorithm to generate and evaluate assembly plans[C] //Proceedings of IEEE Symposium on Emerging Technologies and Factory Automation.Paris:IEEE,1995,2:231-239
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