Part mass and shrinkage in micro injection moulding: Statistical based optimisation using multiple quality criteria期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

按检索

Part mass and shrinkage in micro injection moulding: Statistical based optimisation using multiple quality criteria

Authors:	Daniele Annicchiarico Usama M Attia Jeffrey R Alcock

Institution:	1. Building 56, Cranfield University, Wharley End, Cranfield, Bedfordshire MK43 0AL, UK;2. Manufacturing Technology Centre Ltd., Ansty Business Park, Pilot Way, Coventry CV7 9JU, UK;3. Building 50, Cranfield University, Wharley End, Cranfield, Bedfordshire MK43 0AL, UK

Abstract:	Purpose The aim of this paper is to optimise process conditions in micro injection moulding (μ−IM) to minimise shrinkage whilst maximising part mass. Method A Design of Experiment (DoE) approach was implemented for studying the effect of five processing parameters on shrinkage and part mass. A multiple quality criteria based analysis was used to optimise the process. Results Significant factors were found for shrinkage and part mass. Conclusions The multiple quality criteria could be optimized, and this optimization validated experimentally.

Keywords:	Part mass Shrinkage Micro injection moulding Optimization Multiple quality criteria
本文献已被 ScienceDirect 等数据库收录！