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Analysis of shrinkage on thick plate part using genetic algorithm

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Main Author: Siti Noor Najihah, Mohd Nasir
Other Authors: Shayfull Zamree, Abd Rahim
Format: Learning Object
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2021
Subjects:
Shrinkage
Injection moulding
Genetic algorithm
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69910
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spelling my.unimap-699102021-02-25T04:31:59Z Analysis of shrinkage on thick plate part using genetic algorithm Siti Noor Najihah, Mohd Nasir Shayfull Zamree, Abd Rahim Shrinkage Injection moulding Genetic algorithm Access is limited to UniMAP community. Injection moulding process has been widely used to produce plastic products with various shapes for high productivity and high volume products with low cost. However there are several defect which can influence the quality of the moulded part. The most common defect is shrinkage. Shrinkage causing contractions on moulded part. It is very difficult to eliminate the shrinkage problem perfectly but it can be reduced. To overcome this problem, Genetic Algorithm (GA) is used. Most of researchers use GA method to find the shrinkage especially for thin part but hardly to found researches that use GA method for optimising a thick plate part. A thick plate part different with the thin plate part not only the thickness but also the weight of the part. This study aims to determine the appropriate injection moulding parameters by simulation of Autodesk Moldflow Insight 2012 for experimental works, determine the significant parameters that affected the shrinkage of the thick plate part in the injection moulding process and determining an optimum shrinkage on the thick plate parts by using GA method. This study is involving simulation, optimisation and experimental work. Using GA, the shrinkage value of thick plate part in parallel direction is improved by 39.1% and the shrinkage in normal direction is improved by 17.2% through simulation. Meanwhile, the shrinkage value in both parallel and normal direction is improved by 7.1% and 13.1%, respectively through experimental. Validation conducted gives the shrinkage in both parallel and normal direction improved by 8.4% and 18.5% through simulation and the shrinkage in both parallel and normal direction improved by 14.5% and 7% through experimental. 2021-02-25T04:31:59Z 2021-02-25T04:31:59Z 2016-05 Learning Object http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69910 en Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Shrinkage
Injection moulding
Genetic algorithm
spellingShingle Shrinkage
Injection moulding
Genetic algorithm
Siti Noor Najihah, Mohd Nasir
Analysis of shrinkage on thick plate part using genetic algorithm
description Access is limited to UniMAP community.
author2 Shayfull Zamree, Abd Rahim
author_facet Shayfull Zamree, Abd Rahim
Siti Noor Najihah, Mohd Nasir
format Learning Object
author Siti Noor Najihah, Mohd Nasir
author_sort Siti Noor Najihah, Mohd Nasir
title Analysis of shrinkage on thick plate part using genetic algorithm
title_short Analysis of shrinkage on thick plate part using genetic algorithm
title_full Analysis of shrinkage on thick plate part using genetic algorithm
title_fullStr Analysis of shrinkage on thick plate part using genetic algorithm
title_full_unstemmed Analysis of shrinkage on thick plate part using genetic algorithm
title_sort analysis of shrinkage on thick plate part using genetic algorithm
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2021
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69910
_version_ 1698698282778230784
score 13.214268

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