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dc.contributor.authorRajalingam, Sokkalingam
dc.contributor.authorBono, A.
dc.contributor.authorbin Sulaiman, J.
dc.contributor.editorDr.Saji Baby
dc.date.accessioned2017-01-30T11:35:01Z
dc.date.available2017-01-30T11:35:01Z
dc.date.created2013-03-18T20:00:52Z
dc.date.issued2012
dc.identifier.citationRajalingam, Sokkalingam and Bono, Awang and bin Sulaiman, Jumat. 2012. A Statistical Experimental Study on Shrinkage of Injection-Molded Part, in Baby, S. (ed), International Conference on Mathematics and Statistical Modeling, Dec 29-30 2012, pp. 311-315. Kuala Lumpur: International Scientific Academy of Engineering and Technology.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/13139
dc.description.abstract

Plastic injection molding is an important process to produce plastic parts. However, the difficulty in determining optimum process parameters setting may cause defects of the injected molded parts such as shrinkage. In this study the authors investigate the process parameters which will affect the shrinkage defect on a plastic cell phone shell component. The process parameters selected in this study are the mould temperature, injection pressure and screw rotation speed. The Design of Experimental (DOE) approach was used to investigate and identify the optimal moulding process parameters setting. The significant factors affecting the length and width of the cell phone shell were identified from ANOV A. Statistical results and analyses are used to provide better interpretation of the experiment. Confirmation run with the optimal process parameter setting found by DOE method determined that the shrinkage defect can be eliminated during mass production.

dc.publisherwww.isaet.org
dc.subjectfactors
dc.subjecttarget value and model
dc.subjectresponses
dc.subjectInjection moulding
dc.titleA Statistical Experimental Study on Shrinkage of Injection-Molded Part
dc.typeConference Paper
dcterms.source.startPage311
dcterms.source.endPage315
dcterms.source.titleInternational Conference on Mathematics and Statistical Modeling 2012
dcterms.source.seriesInternational Conference on Mathematics and Statistical Modeling 2012
dcterms.source.isbn9789382242222
dcterms.source.conferenceInternational Conference on Mathematics and Statistical Modeling 2012
dcterms.source.conference-start-dateDec 29 2012
dcterms.source.conferencelocationKuala Lumpur
dcterms.source.placeKuala Lumpur
curtin.department
curtin.accessStatusFulltext not available


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