Shayfull Zamree Abd. Rahim
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Preferred name
Shayfull Zamree Abd. Rahim
Official Name
Shayfull Zamree, Abd. Rahim
Alternative Name
Shayfull, Zamree Abd Rahim
Abd Rahim, Shayfull Zamree Abd
Shayfull, Zamree
Abd Rahim, S. Z.
Abd Rahim, Shayfull Zamree Bin
Bin Abd Rahim, S. Zamree
Abd Rahim, S.
zamree bin abd Rahim, Shayfull
Rahim, Shayfull Zamree Abd
Zamree Abd Rahim, Shayfull
Zambree, Shayfull
Rahim, Shayfull Z.B.Abd
Zamree, A. R.Shayfull
Shayfull, Z.
Main Affiliation
Scopus Author ID
54941291700
Researcher ID
I-2840-2019

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  • Publication
    Warpage optimisation using Recycled Polycar-bonates (PC) on Front Panel Housing
    ( 2021)
    Nur Aisyah Miza Ahmad Tamizi
    ;
    Shayfull Zamree Abd. Rahim
    ;
    Abdellah El-hadj Abdellah
    ;
    Mohd. Mustafa Al Bakri Abdullah
    ;
    Marcin Nabiałek
    ;
    Jerzy J. Wysłocki
    ;
    Bartłomiej Jeż
    ;
    Paweł Palutkiewicz
    ;
    Rozyanty Abdul Rahman
    ;
    Mohd. Nasir Mat Saad
    ;
    Mohd Fathullah Ghazli@Ghazali
    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.
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