摘要
广义模块是参数化产品平台的基本组成元素之一,能有效支持产品变型设计和大批量定制设计.为解决非同构类广义模块工艺及功能相似性和变化规律等问题,提出一种针对参数化产品平台中非同构类广义模块的工艺及功能相似性分析方法,以有效从产品数据中挖掘隐含的设计知识与工艺资源.首先对广义模块的主特征参数尺度的变化范围进行识别,建立特征向量,并对非同构类中不同尺度范围的参数进行一致化处理;然后基于主特征参数向量匹配比较,提出广义模块工艺及功能相似性分析方法,并建立相似性存储表.基于阀门数据进行实例分析,验证了该方法的有效性.
The generalized module,one of the basic elements of parametric product platform,can effectivelysupport product variant design and design for mass customization.A similarity analysis method is proposed tosolve the similarity measure and variation law of function and process of the non-isomorphism generalized module,which can mine the hidden design knowledge and process resources.The structure,function and process informationof the product modules are converted into eigenvector by range identification.The parameters of differentscales in non-isomorphism classes are normalized to eliminate the effect of different dimensions.Then,thesimilarity measure of function and process information is completed by vector matching,and the results are storedin a similarity storage table.The feasibility and effectiveness of the proposed method are verified by a case studyof high and middle pressure valve.
作者
雷金
彭卫平
雷佻钰
曾莎莎
窦俊豪
蒋瑞
张秋华
Lei Jin;Peng Weiping;Lei Tiaoyu;Zeng Shasha;Dou Junhao;Jiang Rui;Zhang Qiuhua(School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072)
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2017年第1期155-165,共11页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金(51275362)
关键词
广义模块
非同构类
相似性分析
数据挖掘
大批量定制设计
generalized module
non-isomorphism class
similarity analysis
data mining
design for mass customization