Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/43790
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dc.contributor.authorMohd Nasir, Mat Saad-
dc.contributor.authorKhairul Azwan, Ismail-
dc.contributor.authorShayfull Zamree, Abd Rahim-
dc.date.accessioned2016-10-24T03:50:56Z-
dc.date.available2016-10-24T03:50:56Z-
dc.date.issued2016-
dc.identifier.citationKey Engineering Materials, vol. 700, 2016, pages 12-21en_US
dc.identifier.issn1662-9795-
dc.identifier.urihttp://www.scientific.net/KEM.700.12-
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/43790-
dc.descriptionLink to publisher's homepage at http://www.ttp.net/en_US
dc.description.abstractThis study focuses on the analysis of plastic injection moulding process simulation using Autodesk Moldflow Insight (AMI) software in order to minimize shrinkage by optimizing the process parameters. Two types of gates which is single and dual gates have been analysed. Nessei NEX 1000 injection moulding machine and P20 mould material details are incorporated in this study on top of Acrylonitrile Butadiene Styrene (ABS) as a moulded thermoplastic material. Coolant inlet temperature, melt temperature, packing pressure and cooling time are selected as a variable parameter. Design Expert software is obtained as a medium for analysis and optimisation to minimize the shrinkage. The polynomial models are obtained using Design of Experiment (DOE) integrated with RSM Center Composite Design (CCD) method in this study. The results show that packing pressure is a main factor that contributed to shrinkage followed by coolant inlet temperature, while melt temperature and cooling time has less significant for both single and dual gates. Meanwhile, single gate shows a better result of shrinkage compared to the dual gates.en_US
dc.language.isoenen_US
dc.publisherTrans Tech Publications Ltden_US
dc.subjectInjection mouldingen_US
dc.subjectOptimizationen_US
dc.subjectRSMen_US
dc.subjectShrinkageen_US
dc.titleApplication of RSM to optimise moulding conditions for minimizing shrinkage in thermoplastic processingen_US
dc.typeArticleen_US
dc.identifier.doi10.4028/www.scientific.net/KEM.700.12-
dc.contributor.urlshayfull@unimap.edu.myen_US
dc.contributor.urlnasirsaad@unimap.edu.myen_US
dc.contributor.urlshayfull@unimap.edu.myen_US
Appears in Collections:Shayfull Zamree Abd Rahim, Assoc. Prof. Ir. Dr.
Khairul Azwan Ismail, Associate Professor Dr.

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