摘要
为明确产品关键设计方向,改善产品设计前期准备的效率,提出一种基于免疫粒子群算法的产品集约化设计方法。通过集成模糊层次分析法与基于客户需求的功能—行为—结构模型,求解客户需求到结构的映射关系,同时建立三角模糊矩阵求解产品各层次重要度,分析并获取产品关键设计要求;依据关键设计要求构建目标函数,采用免疫粒子群算法对离散变量进行准确快速的优化,获取最佳可重用设计方案。最后,以某型号逆变式电弧焊机的设计为例,验证了该设计方法的可行性与有效性。
To clarify the key direction of product design and improve the efficiency of preliminary preparation for product design,a product intensive design method based on immune particle swarm optimization was proposed.By integrating Fuzzy Analytic Hierarchy Process(FAHP)and Function-Behavior-Structure(FBS)model based on customer demand,the mapping relationship between customer demand and Structure was solved,and the importance of each level of product was solved by establishing triangular Fuzzy matrix to analyze and obtain key product design requirements.The Immune Particle Swarm Optimization(IPSO)algorithm was used to optimize discrete variables accurately and quickly,and the optimal reusable design scheme was obtained.An example was given to demonstrate the feasibility and effectiveness of the proposed design method.
作者
苏珂
郑艺
朱运海
李杨
李邵鹏
SU Ke;ZHENG Yi;ZHU Yunhai;LI Yang;LI Shaopeng(Institute of Automation, Qilu University of Technology(Shandong Academy of Sciences), Jinan 250014,China;School of Arts and Design,Qilu University of Technology(Shandong Academy of Sciences),Jinan 250353,China;School of Mechanical and Automotive Engineering, Qilu University of Technology(Shandong Academy of Sciences), Jinan 250353,China)
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2020年第10期2670-2677,共8页
Computer Integrated Manufacturing Systems
基金
国家自然科学基金资助项目(51405252)
中国博士后科学基金面上资助项目(2020M672101)
齐鲁工业大学国际合作资助项目(QLUTGJHZ2018022)
山东省博士后创新项目(202002046)。
关键词
集约化设计
免疫粒子群算法
模糊层次分析法
功能—行为—结构模型
产品设计
intensive design
immune particle swarm optimization algorithm
fuzzy analytic hierarchy process
function-behavior-structure model
product design