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dc.contributor.authorRajalingam, Sokkalingam
dc.contributor.authorBono, A.
dc.contributor.authorSulaiman, J.
dc.date.accessioned2017-01-30T11:52:59Z
dc.date.available2017-01-30T11:52:59Z
dc.date.created2013-03-18T20:00:51Z
dc.date.issued2012
dc.identifier.citationRajalingam, S. and Bono, Awang and Sulaiman, Jumat Bin. 2012. Identifying the critical moulding machine parameters affecting injection moulding process by basic statistical process control tools. International Journal Engineering and Physical Science. 6: pp. 358-364.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/15951
dc.description.abstract

In injection moulding the processing condition have critical effect on the quality of the moulded products. Since there are many process parameters involved in an injection moulding process, identification of the critical parameters are very important. Simple techniques like the “Seven Basic Quality Control Tools (7 QC Tools)” can provide a very valuable and cost effective way to meet these objectives. This paper presents a case study for identifying the critical factors and its level affecting a plastic injection moulding process of a plastic cell phone shell call Front Cover by deployed some of the 7 QC Tools. The Pareto diagram help to identify that the highest defects (30%) was contributed due to shrinkage. The shrinkage defect cause the length and width of the Front Cover below the given specification limit. The Course and Effect diagram help to decide to select the mould temperature, injection pressure and screw rotation speed as the machine input parameters (factors) and the length and width dimensions of the Front Cover as the response of the experiment. A full factorial design of experiments was conducted to study the effect of three injection moulding process parameters versus shrinkage defect. Finally, the critical process parameters and its level influencing the shrinkage were identified and the confirmation run shows that the shrinkage defect eliminated to zero percentage.

dc.publisherInternational Journal Engineering and Physical Science. WASET
dc.subjectShrinkage
dc.subjectParameters
dc.subjectProcess
dc.subjectResponse
dc.subjectMoulding
dc.subjectDimension
dc.subjectComponent
dc.subjectQuality Control
dc.titleIdentifying the critical moulding machine parameters affecting injection moulding process by basic statistical process control tools
dc.typeJournal Article
dcterms.source.volume6
dcterms.source.startPage358
dcterms.source.endPage364
dcterms.source.titleInternational Journal Engineering and Physical Science
curtin.note

This article is published under the Open Access publishing model and distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/. Please refer to the licence to obtain terms for any further reuse or distribution of this work.

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curtin.accessStatusOpen access


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