面向气辅注射成型工艺参数优化的软计算研究  

Research on Soft Computing for the Processing Parameters Optimization of Gas-assisted Injection Molding

作　　者：陈宛兵[1] 卢炎麟[1] 吴迪清 傅飞均[1] 

机构地区：[1]浙江工业大学机械制造及其自动化教育部重点实验室,浙江杭州310014

出　　处：《轻工机械》2010年第4期16-20,共5页Light Industry Machinery

摘　　要：针对气辅注射成型模流技术在应用中遇到的耗时、实验结果仅限于特定条件等问题,提出了一种软计算方法的解决方案。文中重点研究了软计算方法中代理模型的建立。代理模型经过初步试验及改进之后,能较好地反映原模型的气体穿透情况。由此,在一定程度上克服了气辅注射成型仿真技术中制品外型的限制,从而拓展了软计算在气辅成型工艺参数优化中的应用性。In order to improve the universal problems such as time-consuming and experimental results restricted to specified conditions in gas-assisted injection molding simulation technology, this paper put forward a solution with soft computing method, and put stress on study the establishment of agent model. After preliminary experiments and improvment in agent model,it can better reflect original model′s gas penetration. Therefore the restriction of the model shape was overcome to a certain extent,and widen the application of the soft computing in the gas-assisted injection molding processing parameters optimization.[Ch,11 fig.3 tab.12 ref.]

关 键 词：塑料工业 气辅注射成型 工艺优化 软计算 代理模型 

分 类 号：TQ320.66[化学工程—合成树脂塑料工业]