Modeling and simulation of material distribution in the sequential co-injection molding process

作     者：Qingsheng Liu Youqiong Liu Chuntao Jiang Qingsheng Liu;Youqiong Liu;Chuntao Jiang

作者机构：School of Mathematics and StatisticsXinyang Normal UniversityXinyang 464000China 

出 版 物：《Chinese Journal of Chemical Engineering》 (中国化学工程学报（英文版）)

年 卷 期：2022年第35卷第4期

页      面：507-520页

核心收录：

学科分类：08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 080502[工学-材料学] 

基　　金：supported by Science and Technology Research Key Project of the Education Department of Henan Province(20A430023,20B130002,20A110031) Natural Science Foundation of Henan Province(202300410340) National Natural Science Foundation of China(11901504) Nanhu Scholars Program for Young Scholars of Xinyang Normal University 

主　　题：Co-injection molding Finite volume method Simulation Level set Material distribution 

摘      要：In co-injection molding,the properties and distribution of polymers will affect the application of *** focus of this work is to investigate the effect of molding parameters on the skin/core material distribution based on three-dimensional(3-D)flow and heat transfer model for the sequential coinjection molding process,and the flow behaviors and material distributions of skin and core melts inside a slightly complex cavity(dog-bone shaped cavity)are predicted *** governing equations of fluids in mold are solved by finite volume method and Semi-Implicit Method for Pressure Linked Equations(SIMPLE)algorithm on collocated meshes,and the domain extension technique is employed in numerical method for this cavity to assure that the numerical algorithm is implemented *** level set transport equation which is used to trace the free surfaces in co-injection molding is discretized and solved by the 5 th-order Weighted Essentially Non-Oscillatory(WENO)scheme in space and 3 rd-order Total Variation Diminishing Runger-Kutta(TVD-R-K)scheme in time *** simulations are conducted under various volume fraction of core melt,skin and core melt temperatures,skin and core melt flow *** predicted results of material distribution in length,width and thickness directions are in close agreement with the experimental results,which indicate that volume fraction of core melt,core melt temperature and core melt flow rate are principal factors that have a significant influence on material *** results demonstrate the effectiveness of the 3-D model and the corresponding numerical methods in this work,which can be used to predict the melt flow behaviors and material distribution in the process of sequential co-injection molding.