Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72981
Title: Warpage optimisation using Recycled Polycar-bonates (PC) on Front Panel Housing
Authors: 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
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
shayfull@unimap.edu.my
Issue Date: 15-Mar-2021
Publisher: MDPI AG
Citation: Materials, vol. 14(6), 2021, pages 1416
Abstract: 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.
Description: Link to publisher's homepage at https://www.mdpi.com/
URI: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72981
ISSN: 1996-1944
Appears in Collections:Shayfull Zamree Abd Rahim, Assoc. Prof. Ir. Dr.
Mohd Mustafa Al Bakri Abdullah, Prof. Dr.
Mohd Fathullah Ghazli@ Ghazali, Associate Professor Ir. Dr.
Mohd Nasir Mat Saad, Ir.

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