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Analysis of Warpage on front panel housing using Response Surface Methodology

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Bibliographic Details
Main Author: Mohd Afiq, Harun
Other Authors: Shayfull Zamree Abd Rahim, Dr.
Format: Learning Object
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2021
Subjects:
Warpage
Injection moulding
Injection moulding process
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69818
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spelling my.unimap-698182021-02-24T01:08:51Z Analysis of Warpage on front panel housing using Response Surface Methodology Mohd Afiq, Harun Shayfull Zamree Abd Rahim, Dr. Warpage Injection moulding Injection moulding process Access is limited to UniMAP community. In injection moulding process, moulded plastic parts is consider one of the most economical manufacturing process with high volume of plastic parts produces. Causes of variations in injection moulding are related to the vast number of factors acting during a regular production run, which directly impacts the quality of final products. Quality of moulded plastics parts is important as it increasing demands from industries, defects in plastic moulded parts such as warpage is common problem in injection moulding process. To overcome this issue, the use of Response Surface Methodology (RSM) optimisation method to obtain optimal parameters has been introduced which offer better improving warpage defects. This study involving three phases which is designing the parts and cooling channel in the phase I and simulated the flow of melted plastic material into the cavity with Fill, Fill + Pack and Cool (FEM) analysis using Autodesk Moldflow Insight (AMI) 2012 is in phases 2 which is to obtain recommended parameter setting. Lastly, in phases three, simulation works is done with RSM optimisation method to achieved optimum parameter setting and conducting to measure warpage value and the result is compared with the simulation with recommended parameter setting. Four process parameters were considered as a variable factors which are mould temperature, melt temperature, packing pressure and packing time. Design Expert 7.0 software was used to optimise warpage obtained AMI 2012 analysis. The polynomial models are obtained using Response Surface Method (RSM) intergrated with Center Composite Design (CCD) method in this study. The result shows that packing pressure is the most significant factor that contributed to warpage. Result shows that 40% improvement on x direction while 23.7% on y direction in miminise the warpage. 2021-02-24T01:08:51Z 2021-02-24T01:08:51Z 2016-06 Learning Object http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69818 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 Warpage
Injection moulding
Injection moulding process
spellingShingle Warpage
Injection moulding
Injection moulding process
Mohd Afiq, Harun
Analysis of Warpage on front panel housing using Response Surface Methodology
description Access is limited to UniMAP community.
author2 Shayfull Zamree Abd Rahim, Dr.
author_facet Shayfull Zamree Abd Rahim, Dr.
Mohd Afiq, Harun
format Learning Object
author Mohd Afiq, Harun
author_sort Mohd Afiq, Harun
title Analysis of Warpage on front panel housing using Response Surface Methodology
title_short Analysis of Warpage on front panel housing using Response Surface Methodology
title_full Analysis of Warpage on front panel housing using Response Surface Methodology
title_fullStr Analysis of Warpage on front panel housing using Response Surface Methodology
title_full_unstemmed Analysis of Warpage on front panel housing using Response Surface Methodology
title_sort analysis of warpage on front panel housing using response surface methodology
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2021
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69818
_version_ 1698698271034179584
score 13.211869

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