Simulations and Applications of Injection-Compression Molding

Author:

Chen Shia-Chung,Chen Yung-Chung,Cheng Nien-Tien1,Huang Ming-Shyan2

Affiliation:

1. Chung Yuan Christian University, Mechanical Engineering Department, Chung-Li, Taiwan, 32023, R. O. C.

2. Victor Taichung Machinery Works Co., Ltd., Taiwan, R.O.C.

Abstract

A numerical algorithm is developed to simulate the injection-compression molding (ICM) process and to predict melt front advancement, the distributions of pressure, temperature and flow velocity. Processing characteristics were understood by changing processing parameters including compression speed, switch time from injection to compression, compression stroke, as well as initial cavity thickness and part thickness. The simulated molding pressures were also compared with those required by conventional injection molding (CIM). It was found that the compression speed and compression stroke are the two factors affecting the molding pressure most significantly. Switch time also shows apparent effect on the pressure profiles. Using lower switch time, lower compression speed and higher compression stroke will result in lower cavity pressures. The percentage reduction in molding pressure is higher if part becomes thinner when using ICM. The melt velocity far from the gate was found to be higher than that near the gate during the compression stage contrary to that of CIM resulting in different part residual stress and melt temperature distribution. The simulated pressures for both ICM and CIM show good coincidence with those obtained from cavity pressure measurements.

Publisher

SAGE Publications

Subject

Materials Chemistry,Polymers and Plastics,Mechanical Engineering,Mechanics of Materials,Ceramics and Composites

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3