Optimization of Injection Moulding Process Parameters Using Response Surface Methodology 机翻标题: 暂无翻译,请尝试点击翻译按钮。

会议集名/来源
Proceedings of International Conference on Intelligent Manufacturing and Automation: ICIMA 2018
出版年
2019
页码
445-454
作者单位
D. J. Sanghvi College of EngineeringD. J. Sanghvi College of EngineeringD. J. Sanghvi College of Engineering
作者
Khavekar Rajendra;Hari Vasudevan;Gosar Vimal
摘要
Manufacturing process can be optimized to obtain better quality of the products manufactured by particularly reducing the defects. In this study, application of a design of experiments (DOE) tool i.e., response surface methodology (RSM) was carried out on parameters of injection moulding of polybutylene terephthalate (PBT) material. The influences of process parameters are injection pressure, suck back pressure, injection time, cooling time, zone 1 temperature and zone 2 temperature (barrel temperatures) on dark-spots and short-shots (defects) considered under the investigation. Orthogonal array L16 of Taguchi method was used to screen six factors at two levels each with the response being%defectives. It was found that the injection pressure, injection time and zone 1 temperature had a major effect on the response. Central composite design of RSM was then applied to investigate further tuning of the parameters: injection pressure, injection time and zone 1 temperature. It was found that the reduction in%defectives had been reduced to 3.00% from 9.22%.
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关键词
Response surface methodology;Taguchi method;DOE;Injection moulding;Optimization
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