Cover Image

Shrinkage and warpage on front panel housing using Genetic Algorithm (GA)

Access is limited to UniMAP community.

Saved in:
Bibliographic Details
Main Author: Muhammad Ezuddin, Shafiee
Other Authors: Shayfull Zamree, Abd Rahim
Format: Learning Object
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2021
Subjects:
Shrinkage
Warpage
Shrinkage and warpage > Analysis
Genetic algorithm (GA)
Injection moulding
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69981
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-69981
record_format dspace
spelling my.unimap-699812021-02-26T01:33:27Z Shrinkage and warpage on front panel housing using Genetic Algorithm (GA) Muhammad Ezuddin, Shafiee Shayfull Zamree, Abd Rahim Shrinkage Warpage Shrinkage and warpage -- Analysis Genetic algorithm (GA) Injection moulding Access is limited to UniMAP community. In materials processing, quality and productivity are most important and must be controlled for each product type produced. In an injection moulding process, quality is measured in term of warpage of moulded parts while productivity is qualified based on moulding cycle time. In designing moulds for injection process, achieving to reducing shrinkage and warpage on the part is a huge challenge to mould designers. To overcome these issue, optimisation using Genetic Algorithm method has been introduced which is offers to improving shrinkage and warpage defect by control the parameter such as melt temperature, mould temperature, packing pressure, packing time and cooling temperature of the injection moulding process. In this study, Autodesk Moldflow Insight 2013 are used to conducted the simulation work analysis such as Fill, Fill + Pack, cool (FEM) and Fill + Pack + Cool (FEM) + Warp Analysis. Design Expert software was used as a medium to analyse and optimise the shrinkage and warpage on the front panel housing. The polynomial model obtained using Design of Experiment (DOE) was integrated with the Response Surface Method (RSM) and Centre Composite Design (CCD) method in this study. A predictive RSM was interfaced with an effective Genetic Algorithm (GA) to find an optimum value of process parameters. As a result, the shrinkage and warpage of the moulded parts has been reduced 56% and 68% respectively after optimisation. 2021-02-26T01:33:27Z 2021-02-26T01:33:27Z 2016-06 Learning Object http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69981 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
Warpage
Shrinkage and warpage -- Analysis
Genetic algorithm (GA)
Injection moulding
spellingShingle Shrinkage
Warpage
Shrinkage and warpage -- Analysis
Genetic algorithm (GA)
Injection moulding
Muhammad Ezuddin, Shafiee
Shrinkage and warpage on front panel housing using Genetic Algorithm (GA)
description Access is limited to UniMAP community.
author2 Shayfull Zamree, Abd Rahim
author_facet Shayfull Zamree, Abd Rahim
Muhammad Ezuddin, Shafiee
format Learning Object
author Muhammad Ezuddin, Shafiee
author_sort Muhammad Ezuddin, Shafiee
title Shrinkage and warpage on front panel housing using Genetic Algorithm (GA)
title_short Shrinkage and warpage on front panel housing using Genetic Algorithm (GA)
title_full Shrinkage and warpage on front panel housing using Genetic Algorithm (GA)
title_fullStr Shrinkage and warpage on front panel housing using Genetic Algorithm (GA)
title_full_unstemmed Shrinkage and warpage on front panel housing using Genetic Algorithm (GA)
title_sort shrinkage and warpage on front panel housing using genetic algorithm (ga)
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2021
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69981
_version_ 1698698284354240512
score 13.226497

Similar Items