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    Warpage optimisation using Recycled Polycar-bonates (PC) on Front Panel Housing

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    Date
    2021-03-15
    Author
    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
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    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.
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    http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72981
    Collections
    • Shayfull Zamree Abd Rahim, Assoc. Prof. Ir. Dr. [41]
    • Mohd Mustafa Al Bakri Abdullah, Prof. Dr. [277]
    • Mohd Fathullah Ghazli@ Ghazali, Associate Professor Ir. Dr. [21]
    • Mohd Nasir Mat Saad, Ir. [9]

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