基于模糊粗糙集模型的注塑模浇注系统方案智能化设计研究  

RESEARCH ON INTELLIGENT GATE SCHEME DESIGN FOR INJECTION MOLDING BASED ON FUZZY ROUGH SET MODEL

作　　者：石峰[1] 娄臻亮[1] 陆金桂[2] 张永清[3] 方礼祥 

机构地区：[1]上海交通大学模具CAD国家工程研究中心,上海200030 [2]南京工业大学 [3]上海交通大学 [4]仪征化纤工程公司

出　　处：《机械工程学报》2003年第9期123-127,共5页Journal of Mechanical Engineering

基　　金：国家自然科学基金(60175019);教育部优秀青年教师资助计划;上海市高等学校青年科学基金

摘　　要：选择影响注塑件质量的注塑模浇注系统方案为研究对象,提出了浇注系统方案智能化设计策略。考虑到浇注系统方案设计中存在的模糊性和不确定性等因素,对经典的粗糙集理论进行了扩展。将等价关系扩展为模糊相似关系,提出一种模糊粗糙集模型归纳学习算法,并利用此模型建立了具有规则数目少、规则简捷等优点的浇注系统方案设计模糊知识库,并开发了一个浇注系统方案智能化设计原型系统。设计实例初步表明该研究工作和开发的设计原型系统能提高浇注系统设计效率。The gate is one of the most important parts in injection mold, which has the direct influence on the quality of the injection products. The design of the gate schemes depends on prior experience and knowledge. Due to the vagueness and uncertainty in the scheme design of the gate, the classical rough set theory is not effective. A fuzzy rough set model is proposed, which is not based on equivalent relation but on fuzzy similarity relation. Then an inductive learning algorithm based on fuzzy rough set model (FRILA) is presented. Compared to the decision tree algorithms, the proposed algorithm can generate less fuzzy rules and the generated rules are more concise. Finally, an intelligent gate scheme design prototype system based on the gate scheme design knowledge base is developed, which can improve the efficiency of the gate design.

关 键 词：注塑模 浇注系统 方案设计 模糊粗糙集 知识获取 智能化设计 

分 类 号：TQ320.52[化学工程—合成树脂塑料工业] TP18[自动化与计算机技术—控制理论与控制工程]