复杂产品设计变更传播多目标路径优化研究  被引量:7

Multi-Objective Path Optimization for Design Change Propagation on Complex Product

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作  者:李孟泽 盛健超 李玉鹏[1] 亓文辉 LI Meng-ze;SHENG Jian-chao;LI Yu-peng;QI Wen-hui(Department of Industrial Engineering,School of Mines,China University of Mining and Technology,Jiangsu Xuzhou 221116,China)

机构地区:[1]中国矿业大学矿业工程学院工业工程系,江苏徐州221116

出  处:《机械设计与制造》2020年第6期294-297,共4页Machinery Design & Manufacture

基  金:国家自然科学基金(51505480);江苏省自然科学基金(BK20150197)。

摘  要:设计变更在产品开发过程中不可避免,变更的传播会增加设计系统的复杂性.针对复杂产品的设计变更传播路径优化问题,将小世界理论应用于复杂产品结构建模中,以零部件为节点,零部件的物理连接关系为边,定义变更传播强度为边权,建立复杂产品零部件网络模型.同时考虑变更传播强度、零部件设计成本和设计时间三个目标,根据变更传播特点,建立多目标变更传播路径优化模型.运用蚁群算法求解得到最优路径.以某型号摩托车发动机为例验证了所提方法的可行性和有效性.Design changes are unavoidable during the product development,whereas the propagation of changes increases the complexity of the design system.As for the problem of the optimization for design change propagation in complex product,the theory of the small world is applied to the modeling of complex product structure.The parts are defined as the vertices,the physical linkages among parts are regarded as the edges and the weights of these linkages are estimated by change propagation intensity,by which the complex network model of complex product is constructed.Three indexes,that is,change propagation intensity,the design cost and time of parts are considered in this study.According to the characteristics of change propagation,a multi-objective change propagation path optimization model is constructed.Furthermore,the optimal propagation path is sought with ant colony optimization algorithm.A case study of a motorcycle engine is presented to verify the feasibility and validity of the proposed approach.

关 键 词:复杂产品 多目标优化 小世界网络 蚁群算法 

分 类 号:TH16[机械工程—机械制造及自动化] TP393[自动化与计算机技术—计算机应用技术]

 

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