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基于约束网络的产品进化设计 被引量:2

Research on product evolutionary design based on constraint network
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摘要 为解决约束条件下的产品设计问题,以复杂网络理论及图论为指导,建立了基于约束网络的产品创新设计模型.该模型从设计约束库中筛选相关要素作为约束变量,构建设计约束网络;利用对偶图计算约束网络中心性指标,实现节点重要度排序,进而归纳出设计约束问题并进行求解;最后建立一套基于约束的产品进化设计系统.以夜光杯为对象进行实例研究,构建相关设计约束网络;分析得到其关键节点,归纳出具体的设计约束问题,并应用动力学模拟、控制点区间约束等方法对其进行求解;开发夜光杯进化设计系统,选取具有代表性的传统夜光杯样本进行形态进化,生成一系列满足约束条件的夜光杯设计方案.结果表明:该模型有效实现了约束网络指导下的产品设计. In order to solve the problem of product design under constraints,a product innovative design model based on constraint network was established under the guidance of complex network theory and graph theory.Firstly,relevant factors were selected from the design constraint database as constraint variables to construct the design constraint network.Secondly,the centrality indexes of constraint network were calculated through dual graph to achieve the rank of node importance,and then the problem of design constraints were summed up and solved.Finally,a constraint-based evolutionary design system of product was established.By analyzing of constructed network,taking luminous jade cup as an example,key nodes were obtained,and concrete problems of design constraints were summed up.The methods such as dynamic simulation and interval constraint of control points were used to solve these problems.An evolutionary design system for luminous jade cup was developed,the form evolution was carried out on the representative samples of traditional luminous cup,and a series of design schemes satisfying the constraint conditions were generated.The results show that product design under the guidance of constraint network could be effectively realized.
作者 苏建宁 白睿昇 李雄 白兴易 SU Jian-ning;BAI Rui-sheng;LI Xiong;BAI Xing-yi(College of Design Art, Lanzhou Univ. of Tech., Lanzhou 730050, China;College of Mechano-Electronic Engineering, Lanzhou Univ. of Tech., Lanzhou 730050, China)
出处 《兰州理工大学学报》 CAS 北大核心 2021年第4期59-65,共7页 Journal of Lanzhou University of Technology
基金 国家自然科学基金(51465037,51705226)。
关键词 产品设计 设计约束 复杂网络 对偶图 进化设计 product design design constraints complex network dual graph evolutionary design
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