基于知识的注塑制品缺陷智能分析  

Knowledge-based Intelligent Research of Defects of Injection Molded Plastic Parts

作　　者：辛勇[1] 李双林[1] 周新[1] 

机构地区：[1]南昌大学机电工程学院,江西南昌330031

出　　处：《中国塑料》2007年第1期69-72,共4页China Plastics

基　　金：教育部科技研究重点资助项目（03066）、江西省自然科学基金资助项目、江西省主要学科跨世纪学术带头人资助项目（Z1815）

摘　　要：重点分析了注射成型的工艺和制品质量的关系，通过引入注塑制品成型缺陷领域的专家经验和知识，获取相关设计知识并把它们表示成符合CLIPS语言规范的产生式规则形式，建立了注塑制品缺陷知识库，并采用CLIPS知识推理机完成了注塑制品缺陷的诊断，得到制品缺陷产生的原因以及相应的解决措施。给出的推理实例表明了该系统的实用性。This paper focuses on the impact between injection molding process and the injection molded products. By introducing the expert experiences and knowledge, obtaining design knowledge in the field and transforming them into production rules form which is accepted by the CLIPS, the plastic defects knowledge database is built, and CLIPS knowledge inference engine is utilized to conduct the inference of the knowledge, which gets the cause of defects and the corresponding solutions. Finally an inference example is applied and the utility of the system is shown.

关 键 词：注塑制品 工艺参数 CLIPS 缺陷知识库 智能分析 

分 类 号：TG3[金属学及工艺—金属压力加工]