基于遗传算法和Moldflow的注塑过程优化与仿真

Optimization and Simulation of Injection Process Based on Genetic Algorithm and Moldflow

随着塑料制品生产和使用量的不断增加,塑料产品的工艺水平和产品质量越来越高,生产成本越来越低。由于塑料原材料来源广泛且成本低,塑料产品的加工周期就成为影响塑料产品生产企业成本的主要原因之一。在保证塑料产品质量的前提下,如何最大限度地缩短塑料产品的加工周期和提高生产效率是塑料行业的研究热点之一。以聚烯烃材料的塑料杯产品成型为例,提出了注塑工艺仿真的流程,利用STATA软件拟合了注塑工艺参数和塑料产品加工周期的线性函数关系,利用遗传算法对注塑成型工艺参数进行了优化,以Moldflow软件和实验检验了优化后的参数。

With the increase of the production and use of plastic products, the technical level andproduct quality of plastics were getting higher and the production cost was lower and lower. Due to the widerange of sources and low cost of plastic raw materials, the processing cycle of plastic products became one ofthe main reasons for the cost of plastic product manufacturers. Under the premise of ensuring the quality ofplastic products, how to shorten the processing cycle of plastic products to the greatest extent and increase theproduction efficiency was one of the hot spots in the plastic industry. Taking the forming of polyolefin cup asan example, the flow of injection molding process simulation was put forward. STATA software was used to fitthe linear function relationship between injection molding process parameters and processing cycle of plasticproducts, the genetic algorithm was used to optimize the injection molding process parameters, and Moldflowsoftware and experiments were used to test the optimized parameters.