上海交通大学学报(自然版) ›› 2017, Vol. 51 ›› Issue (10): 1220-1227.

• 兵器工业 • 上一篇    下一篇

 基于驱动参数建模的可行更改路径搜索和优选方法

 陈进平1,张树生1,何卫平1,王明微1,黄晖2   

  1.  1. 西北工业大学 现代设计与集成制造技术教育部重点实验室, 西安 710072;
    2. 中国热带农业科学院 农产品加工研究所, 广东 湛江 524001
  • 出版日期:2017-10-31 发布日期:2017-10-31
  • 基金资助:
     

 Feasible Change Path Search and Optimization Method
Based on Driving Parameter Modeling

 CHEN Jinping1,ZHANG Shusheng1,HE Weiping1,WANG Mingwei1,HUANG Hui2   

  1.  1. The Key Laboratory of Contemporary Designing and Integrated Manufacturing Technology,
     Ministry of Education, Northwestern Polytechnical University, Xi’an 710072, China;
    2. Institute of Agricultural Products Processing, Chinese Academy of
     Tropical Agricultural Science, Zhanjiang 524001, China
  • Online:2017-10-31 Published:2017-10-31
  • Supported by:
     

摘要:  为了解决产品设计更改中可行更改路径分析困难的问题,提出了一种基于驱动参数建模的可行更改路径搜索和优选方法.从集合论观点出发描述了产品中的更改传播现象;在传统产品参数建模的基础上构建产品驱动参数关联网络模型,并介绍了产品模型的预处理方法;引入深度优先搜索算法(Depth First Search, DFS)实现可行更改路径的搜索;提出了评价最优更改路径的指标和优选准则指导更改方案优选工作,采用多属性决策方法(Technique for Order Preference by Similarity to an Ideal Solution, TOPSIS)完成最优更改方案的优选;通过开发的原型系统,实例验证了该方法的可行性.

关键词:  , 设计更改; 驱动参数; 可行更改路径; 路径搜索

Abstract:  To solve the problem of difficultly analyzing the feasible change paths in the product design, a feasible change path search and optimization method was proposed based on drivenparameter modeling. The phenomenon of change propagation was described from the viewpoint of set theory. Based on traditional product parameter modeling, a product drivenparameter associated network was constructed, and the preprocess approach of product model was introduced. The depth first search (DFS) algorithm was adopted to realize the search of feasible change paths. The assessment indexes and criterions were proposed to instruct the selection of optimal change path, and technique for order preference by similarity to an ideal solution (TOPSIS) method was utilized to select the optimal change path. A case was provided to verify the feasibility of the method by a developed prototype.

Key words:  design change, driving parameter, feasible change path, path search

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