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dc.contributor.authorSokkalingam, Rajalingam
dc.contributor.authorBono, A.
dc.contributor.authorbin Sulaiman, J.
dc.contributor.editorDr. Ujjal Kumar Ghosh
dc.contributor.editorDr.Nagarajan
dc.contributor.editorDr.M.V.Prasana
dc.contributor.editorDr.Armar Sahed
dc.date.accessioned2017-01-30T14:40:15Z
dc.date.available2017-01-30T14:40:15Z
dc.date.created2012-03-14T20:00:57Z
dc.date.issued2011
dc.identifier.citationSokkalingam, Rajalingam and Bono, Awang and bin Sulaiman, Jumat. 2011. Identifying the Critical Moulding Machine Parameters Affecting Injection Moulding Process by Basic Statistical Process Control Tools, in U.K. Ghosh, Nagarajan, M.V. Prasana, and A. Sahed (ed), 3rd CUTSE International Conference, Nov 8-9 2011. Miri, Sarawak: Curtin University Sarawak.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/40167
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.publisherCUTSE 2011
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.typeConference Paper
dcterms.source.title3rd CUTSE 2011 International Conference
dcterms.source.series3rd CUTSE 2011 International Conference
dcterms.source.isbn9789834448226
dcterms.source.conference3rd CUTSE International Conference
dcterms.source.conference-start-dateNov 8 2011
dcterms.source.conferencelocationMiri, Sarawak, Malaysia
dcterms.source.placeMiri, Malaysia
curtin.departmentCurtin Sarawak - Faculty Office
curtin.accessStatusFulltext not available


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