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dc.contributor.authorRajalingam, Sokkalingam
dc.contributor.authorBono, A.
dc.contributor.authorbin Sulaiman, J.
dc.contributor.editorOrganizing Commitee AICES 2013
dc.date.accessioned2017-01-30T11:27:32Z
dc.date.available2017-01-30T11:27:32Z
dc.date.created2014-03-16T20:01:14Z
dc.date.issued2013
dc.identifier.citationRajalingam, Sokkalingam and Bono, Awang and bin Sulaiman, Jumat. 2013. Modeling and Optimization of Injection Molding Process Parameters for a Plastic Cell Phone Housing Component, in Organizing Commitee AICES 2013 (ed), International Conference on Engineering & Applied Science (AICEAS 2013), Dec 25-27 2013, pp. 1-10. Chidambaram, Tamil Nadu, India: IAAET.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/11903
dc.description.abstract

The injection molding process is used to produce thin-walled plastic products for a wide variety of applications. However, the difficulty in adjusting optimum process parameters setting may cause defects on injected molded parts such as shrinkage. In this study the author wants to predict model equations for the responses and determine the optimal molding process parameters which will minimize the shrinkage defect on a plastic cell phone housing component. The machine process setting in use currently caused shrinkage where variations in the dimensions of the length and width below the specification limit. Therefore the experiment is needed to identify the optimal process parameters that could be set to maintain the length and width dimensions closest to the target value with smallest possible variation. The process parameters selected in this study are the mould temperature, injection pressure and screw rotation speed. The Response Surface Methods (RSM) was used to determine the optimal moulding process parameters. The significant factors affecting the responses and model equations were identified from ANOVA. Statistical results and analysis are used to provide better interpretation of the experiment. Verification runs with the optimal process parameter setting found by RSM determined that the shrinkage defect can be minimized.

dc.publisherOrganizing Commitee AICES 2013
dc.subjectRSM
dc.subjecttarget value and model
dc.subjectshrinkage
dc.subjectInjection moulding
dc.titleModeling and Optimization of Injection Molding Process Parameters for a Plastic Cell Phone Housing Component
dc.typeConference Paper
dcterms.source.startPage1
dcterms.source.endPage10
dcterms.source.titleInternational Conference on Engineering & Applied Science (AICEAS 2013)
dcterms.source.seriesInternational Conference on Engineering & Applied Science (AICEAS 2013)
dcterms.source.conferenceInternational Conference on Engineering & Applied Science (AICEAS 2013)
dcterms.source.conference-start-dateDec 25 2013
dcterms.source.conferencelocationChidambaram, Tamil Nadu, India
dcterms.source.placeChidambaram, Tamil Nadu, India
curtin.department
curtin.accessStatusFulltext not available


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