模具技术Issue(1)：1-7,7.
基于模糊规则推理的注塑成型缺陷诊断及工艺智能优化
Injection defect diagnosis and process intellectual optimization based on fuzzy rule inference
摘要
Abstract
According to the ambiguity and uncertainty of solution for injection defect cause, rule-based reasoning, fuzzy reasoning and other artificial intelligence techniques were utilized together to complete the overall structural design of injection defect diagnosis and process optimization system. Through the use of rule-based reasoning, injection defect cause could be determined, and process parameters were intelligent optimized based on fuzzy reasoning. The entire process of optimizing injection molding process parameters with fuzzy reasoning was elaborated. Based on the theory above and application platform of Visual Prolog, the expert system for the injection defect diagnosis and process optimization was developed with the artificial intelligence system language Prolog, and application example was given. The result shows that this system is with the ability to diagnose the injection defect and optimize the process, and possesses better promotion prospects as well.关键词
注塑成型/规则推理/模糊推理/缺陷诊断/工艺优化/Visual PrologKey words
injection molding/ruled-based reasoning/fuzzy reasoning/defect diagnosis/process optimization/Visual Prolog分类
化学化工引用本文复制引用
陈晨,刘全坤,王鸿基,钱凌云,易学满..基于模糊规则推理的注塑成型缺陷诊断及工艺智能优化[J].模具技术,2012,(1):1-7,7.基金项目
国家科技型中小企业技术创新基金(11C26213401942). （11C26213401942）
