Warpage optimisation using Recycled Polycar-bonates (PC) on Front Panel Housing
Link to publisher's homepage at https://www.mdpi.com/
Saved in:
Main Authors: | , , , , , , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72981 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.unimap-72981 |
---|---|
record_format |
dspace |
spelling |
my.unimap-729812021-12-23T03:25:05Z Warpage optimisation using Recycled Polycar-bonates (PC) on Front Panel Housing Shayfull Zamree, Abd Rahim Nur Aisyah Miza, Ahmad Tamizi Abdellah El-hadj, Abdellah Mohd Mustafa Al Bakri, Abdullah Nabiałek, Marcin J. Wysłocki, Jerzy Jeż, Bartłomiej Palutkiewicz, Paweł Rozyanty, Abdul Rahman Mohd Nasir, Mat Saad Mohd Fathullah, Ghazli shayfull@unimap.edu.my Faculty of Mechanical Engineering Technology, Universiti Malaysia Perlis (UniMAP) Centre of Excellence Geopolymer and Green Technology (CEGeoGTech), Universiti Malaysia Perlis (UniMAP) Physics and Mathematical Modelling (LMP2M), University of Medea Faculty of Chemical Engineering Technology, Universiti Malaysia Perlis (UniMAP) Faculty of Processing Engineering and Materials Technology, Częstochowa University of Technology Faculty of Mechanical Engineering and Computer Science, Częstochowa University of Technology Injection moulding process Response surface methodology Genetic algorithms Warpage Recycle material Link to publisher's homepage at https://www.mdpi.com/ Many studies have been done using recycled waste materials to minimise environmental problems. It is a great opportunity to explore mechanical recycling and the use of recycled and virgin blend as a material to produce new products with minimum defects. In this study, appropriate processing parameters were considered to mould the front panel housing part using R0% (virgin), R30% (30% virgin: 70% recycled), R40% (40% virgin: 60% recycled) and R50% (50% virgin: 50% recycled) of Polycarbonate (PC). The manufacturing ability and quality during preliminary stage can be predicted through simulation analysis using Autodesk Moldflow Insight 2012 software. The recommended processing parameters and values of warpage in x and y directions can also be obtained using this software. No value of warpage was obtained from simulation studies for x direction on the front panel housing. Therefore, this study only focused on reducing the warpage in the y direction. Response Surface Methodology (RSM) and Genetic Algorithm (GA) optimisation methods were used to find the optimal processing parameters. As the results, the optimal ratio of recycled PC material was found to be R30%, followed by R40% and R50% materials using RSM and GA methods as compared to the average value of warpage on the moulded part using R0%. The most influential processing parameter that contributed to warpage defect was packing pressure for all materials used in this study. 2021-12-23T03:25:05Z 2021-12-23T03:25:05Z 2021-03-15 Article Materials, vol. 14(6), 2021, pages 1416 1996-1944 http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72981 https://www.mdpi.com/1996-1944/14/6/1416 https://doi.org/10.3390/ma14061416 en MDPI AG |
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 |
Injection moulding process Response surface methodology Genetic algorithms Warpage Recycle material |
spellingShingle |
Injection moulding process Response surface methodology Genetic algorithms Warpage Recycle material Shayfull Zamree, Abd Rahim Nur Aisyah Miza, Ahmad Tamizi Abdellah El-hadj, Abdellah Mohd Mustafa Al Bakri, Abdullah Nabiałek, Marcin J. Wysłocki, Jerzy Jeż, Bartłomiej Palutkiewicz, Paweł Rozyanty, Abdul Rahman Mohd Nasir, Mat Saad Mohd Fathullah, Ghazli Warpage optimisation using Recycled Polycar-bonates (PC) on Front Panel Housing |
description |
Link to publisher's homepage at https://www.mdpi.com/ |
author2 |
shayfull@unimap.edu.my |
author_facet |
shayfull@unimap.edu.my Shayfull Zamree, Abd Rahim Nur Aisyah Miza, Ahmad Tamizi Abdellah El-hadj, Abdellah Mohd Mustafa Al Bakri, Abdullah Nabiałek, Marcin J. Wysłocki, Jerzy Jeż, Bartłomiej Palutkiewicz, Paweł Rozyanty, Abdul Rahman Mohd Nasir, Mat Saad Mohd Fathullah, Ghazli |
format |
Article |
author |
Shayfull Zamree, Abd Rahim Nur Aisyah Miza, Ahmad Tamizi Abdellah El-hadj, Abdellah Mohd Mustafa Al Bakri, Abdullah Nabiałek, Marcin J. Wysłocki, Jerzy Jeż, Bartłomiej Palutkiewicz, Paweł Rozyanty, Abdul Rahman Mohd Nasir, Mat Saad Mohd Fathullah, Ghazli |
author_sort |
Shayfull Zamree, Abd Rahim |
title |
Warpage optimisation using Recycled Polycar-bonates (PC) on Front Panel Housing |
title_short |
Warpage optimisation using Recycled Polycar-bonates (PC) on Front Panel Housing |
title_full |
Warpage optimisation using Recycled Polycar-bonates (PC) on Front Panel Housing |
title_fullStr |
Warpage optimisation using Recycled Polycar-bonates (PC) on Front Panel Housing |
title_full_unstemmed |
Warpage optimisation using Recycled Polycar-bonates (PC) on Front Panel Housing |
title_sort |
warpage optimisation using recycled polycar-bonates (pc) on front panel housing |
publisher |
MDPI AG |
publishDate |
2021 |
url |
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72981 |
_version_ |
1724609981784784896 |
score |
13.214268 |