Chinese  Old version

By    In    Search 

  HomeContents of Journal of Mechanical Engineering 2013 No.3Multivariable Correlative Model Decomposition for Complex Product Design Based on Clustering with Multiple Couplings


Multivariable Correlative Model Decomposition for Complex Product Design Based on Clustering

with Multiple Couplings

PENG Xiang  LIU Zhenyu  TAN Jianrong  BU Wanghui
(State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou 310027)

Abstract: To raise the clustering degree after design decomposition, and then increase design efficiency of complex products, a design decomposition method based on clustering with multiple couplings is proposed. The matrix of synthetic coupling degrees (MSCD), which includes couplings between variables and functions, couplings among variables, and couplings among functions, is created based on sensitivity analysis and couplings characteristics analysis to reflect amounts of coupling degrees. Initial clustering of variables and functions are accomplished through dimensional reduction of MSCD and structure of coupling binary tree. Clustering of aggregations of variables and functions are accomplished through comparison of coupling degrees among branches of the binary tree. The design model is decomposed to reach the greatest clustering degrees. The packing and turbo expander in large scale air separation equipment are taken as examples to verify the effectiveness of the approach.
Key words: Multiple couple Synthetic coupling degree matrix Binary tree Clustering degree Design model decomposition
CLC No: TP391


国家重点基础研究发展计划(973计划, 2011CB706503)、国家自然科学基金(51075357)和高等学校博士点专项科研基金(20090101110040)资助项目. Received 20120309, received in revised form 20121120

Open or Download Full Text of this Paper (PDF File)


[1] 钟掘,段吉安. 现代复杂工业制造系统的若干理论设计问题[J]. 机械工程学报,2001,37(12):1-6.
ZHONG Jue,DUAN Jian. Several design problems for modern industrial manufacturing system [J]. Chinese Journal of Mechanical Engineering, 2001,37(12):1-6.
[2] HUANG H Z,YU H,ZHANG X,et al. Collaborative optimization with inverse reliability for multidisciplinary systems uncertainty analysis[J]. Engineering Optimization,2010,42(8):763-773.
[3] TAO Y R,HAN X,JIANG C,et al. A method to improve computational efficiency for CSSO and BLISS[J]. Structure Multidisciplinary Optimization,2011,44:39-43.
[4] TYSON R B. Applying the design structure matrix to system decomposition and integration problems a review and new directions [J]. IEEE Transactions on Engineering Management,2001,48(3):292-306.
[5] SHAN S Q,GARY G W. Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions[J]. Structural Multidiscipline Optimization,2010,41:219-241.
[6] DING B L,YAO T K,CHIA H M. A dynamic planning approach for new product development [J]. Concurrent Engineering,2009,17(1):17-43.
[7] TAHER N,ELAHE T F,NARGES P,et al. An efficient hybrid algorithm based on modified imperialist competitive algorithm and K-means for data clustering[J]. Engineering Applications of Artificial Intelligence,2011 (24):306-317.
[8] JAMES T A,MICHANE K. Optimal partitioning and coordination decisions in decomposition-based design optimization[J]. Journal of Mechanical Design,2009 (131):081008(1-8).
[9] CHEN L,DING Z,LI S. A formal two-phase method for decomposition of complex design problems[J]. Journal of Mechanical Design,Transactions of the ASME,2005,127(2): 184-195.
[10] 陈柏鸿,肖人彬,刘继红,等. 复杂产品协同优化设计中耦合因素的研究[J]. 机械工程学报,2001,37(1):19-23.
CHEN Baihong,XIAO Renbin,LIU Jihong,et al. Research on the coupled factors in MDO for complex products [J]. Chinese Journal of Mechanical Engineering,2001,37(1):19-23.
[11] 陈羽,滕弘飞. 产品设计耦合分析研究进展[J]. 计算机集成制造系统,2011,17(8): 1729-1736.
CHEN Yu,TENG Hongfei. Advances of coupling analysis for product design[J]. Computer Integrated Manufacturing Systems,2011,17(8): 1729-1736.
[12] 马飞,同淑荣,李博,等. 基于模糊设计结构矩阵的产品设计过程模块化分解[J]. 计算机集成制造系统,2010,16(3):476-483.
MA Fei,TONG Shurong,LI Bo,et al. Modular decomposition of product design process based on fuzzy design structure matrix[J]. Computer Integrated Manufacturing Systems,2010,16(3): 476-483.
[13] MENG X H,XIE Y B. Design decomposition for cross-organizational assignment of design tasks[J]. Concurrent Engineering Research and Applications,2010,18(2):111-119.
[14] 陈云霞,高洁萍,夏华凤,等. 基于遗传算法的多学科设计优化分解方法[J]. 北京航空航天大学学报,2009,35(6):673-677.
CHEN Yunxia,GAO Jieping,XIA Huafeng,et al. Genetic algorithm-based decomposition method for multidisciplinary design optimization[J]. Journal of Beijing University of Aeronautics and Astronautics,2009,35(6):673-677.
[15] 钟掘,胡志刚. 基于耦合机制的并行设计环境理论与方法[J]. 机械工程学报,2002,38(9): 65-68.
ZHONG Jue,HU Zhigang. Theory and method in parallel designing environment based on coupling [J]. Chinese Journal of Mechanical Engineering, 2002,38(9):65-68.
[16] 曹鹏彬,肖人彬,库琼. 公理设计过程中耦合设计问题的结构化分析方法[J]. 机械工程学报,2006,42(3): 46-55.
CAO Pengbin,XIAO Renbin,KU Qiong. Structural analytical approach to coupled design in design with axiomatic design [J]. Chinese Journal of Mechanical Engineering,2006,42(3):46-55.
[17] DAI C N,LEI Z G,LI Q S,et al. Pressure drop and mass transfer study in structured catalytic packings[J]. Separation and Purification Technology,2012,(98):78-87.



  About us-Contact us-Site map-Advertisement service-Cooperation-Legal statement  

Address: 22 Baiwanzhuang Dajie, Beijing 100037 China    Tel: 8610-88379907    Fax: 8610-68994557

E-mail: cjme@mail.machineinfo.gov.cn  http: //www.cjmenet.com
©2006 Editorial Office of CJME. All Right Reserved