薄壳注塑制品多指标工艺参数优化

Optimization of Multi-target Parameters on Injection Molded Thin-wall Products

综合运用人工智能、模糊理论等对薄壳注射成型缺陷进行研究,开发出了参数优化模糊专家系统,给出了知识推理的技术,建立了缺陷及工艺参数的隶属度函数及模糊规则表。采用隶属函数来反映对象特征的模糊性和模糊关系,实现了基于规则的模糊推理,并对缺陷优化模块进行了实例验证。

In this case, it is necessary to study process condition by simulation and control the defects. Injection molded articles＇ defects are mainly researched by applying the theory of artificial intelligent and vague theory. The diagram of vague expert system in product quality control and the inference flow diagram of the system were given in the paper. The membership function of process parameters and defects and the fuzzy rules were constructed. The membership function reflected the fault vague and vague connection. Vague reasoning based on the rules was realized. A case study was carried out to test the defect ontimization module.