基于遗传算法的注塑模注射速率优化  

OPTIMIZATION OF INJECTION VELOCITY IN INJECTION MOLDING USING GENETIC ALGORITHM

作　　者：郑占明[1] 刘春太[1] 申长雨[1] 

机构地区：[1]郑州大学工学院橡塑模具国家工程研究中心,郑州450002

出　　处：《工程塑料应用》2002年第7期25-28,共4页Engineering Plastics Application

基　　金：河南省自然科学基金(004060300)

摘　　要：注射成型充填过程中,熔体前沿速度(MFV)会影响制品的最终质量和尺寸精度,如何控制MFV,即控制不同位置的螺杆速度或者说注射速率至关重要。将遗传算法和数值模拟技术相结合用于注射速率的优化,确定螺杆速度-行程曲线或熔体前沿面积(MFA)-充填百分比曲线中的最佳控制点,以及控制点处的螺杆速度或注射速率的最优值。算例表明,利用遗传算法得到的优化的注射速率设置,可以使MFV的均匀性提高40％左右。In the filling processing of injection molding, Melt-Front-Velocity ( MFV) is one of the most significant factors influencing the final part quality and dimensions. How to control MFV, i. e. to control the ram-speed or injection flow rates in different stroke, is a very important processing condition for operators. The genetic algorithm based on numerical simulation was used to optimize the injection velocity, and some optimum points and flow rates in ram-speed or MFA-filling percent were determined. Applying the proposed computational tool in a realistic test case, a significant improvement of the quality was achieved by 40%.

关 键 词：遗传算法 注塑模 注射速率 优化 数值模拟 

分 类 号：TQ320.52[化学工程—合成树脂塑料工业]