SCI和EI收录∣中国化工学会会刊

Chinese Journal of Chemical Engineering ›› 2022, Vol. 44 ›› Issue (4): 507-520.

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

Qingsheng Liu, Youqiong Liu, Chuntao Jiang

1. School of Mathematics and Statistics, Xinyang Normal University, Xinyang 464000, China
• Contact: Qingsheng Liu,E-mail:qingshengliu@xynu.edu.cn
• Supported by:
This work is 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) and Nanhu Scholars Program for Young Scholars of Xinyang Normal University.

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

Qingsheng Liu, Youqiong Liu, Chuntao Jiang

1. School of Mathematics and Statistics, Xinyang Normal University, Xinyang 464000, China
• 通讯作者: Qingsheng Liu,E-mail:qingshengliu@xynu.edu.cn
• 基金资助:
This work is 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) and Nanhu Scholars Program for Young Scholars of Xinyang Normal University.

Abstract: In co-injection molding, the properties and distribution of polymers will affect the application of products. The 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 co-injection 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 numerically. The 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 successfully. The level set transport equation which is used to trace the free surfaces in co-injection molding is discretized and solved by the 5th-order Weighted Essentially Non-Oscillatory (WENO) scheme in space and 3rd-order Total Variation Diminishing Runger-Kutta (TVD-R-K) scheme in time respectively. Numerical simulations are conducted under various volume fraction of core melt, skin and core melt temperatures, skin and core melt flow rates. The 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 distribution. Numerical 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.