Application of the Taguchi Method to Optimize the Surface Quality of Gas Assist Injection Molded Composites

Author:

Liu Shih-Jung,Chang Jer-Haur1

Affiliation:

1. Polymer Rheology and Processing Laboratory, Department of Mechanical Engineering, Chang Gung University, Tao Yuan 333, Taiwan ROC

Abstract

Gas assist injection molding of short glass fiber reinforced composites has become an important process in industry, because it enables the production of parts with thick and thin sections and with a good structural rigidity. However there are some unsolved problems that confound the overall success of this technique. Part roughness of the composites caused by inappropriate mold design and processing conditions is one of them. An L' 18 experimental matrix design based on the Taguchi method was conducted to optimize the surface quality of gas assist injection molded composites. The material used was a 35% glass fiber reinforced Nylon-6 composite. Experiments were carried out on an 80-ton injection molding machine equipped with a high-pressure nitrogen-gas injection unit. A float-shape mold cavity was used. After molding, the surface quality of the parts was characterized by a roughness meter. For the factors selected in the main experiments, melt temperature and gas injection delay time were found to be the principal factors affecting the surface quality of gas assist injection molded composites. Experimental investigation of a gas assist injection molding problem can help reveal the formation mechanisms of surface roughness, so that steps can be taken to improve the surface quality of molded parts.

Publisher

SAGE Publications

Subject

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

Cited by 11 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