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    Optimisation of Shrinkage and Strength on Thick Plate Part Using Recycled LDPE Materials

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    Date
    2021-04-05
    Author
    Norshahira, Roslan
    Shayfull Zamree, Abd Rahim
    Abdellah El-hadj, Abdellah
    Mohd Mustafa Al Bakri, Abdullah
    Błoch, Katarzyna
    Pietrusiewicz, Paweł
    Nabiałek, Marcin
    Szmidla, Janusz
    Kwiatkowski, Dariusz
    Correia Vasco, Joel Oliveira
    Mohd Nasir, Mat Saad
    Mohd Fathullah, Ghazali
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    Abstract
    Achieving good quality of products from plastic injection moulding processes is very challenging, since the process comprises many affecting parameters. Common defects such as warpage are hard to avoid, and the defective parts will eventually go to waste, leading to unnecessary costs to the manufacturer. The use of recycled material from postindustrial waste has been studied by a few researchers. However, the application of an optimisation method by which to optimise processing parameters to mould parts using recycled materials remains lacking. In this study, Response Surface Methodology (RSM) and Particle Swarm Optimisation (PSO) methods were conducted on thick plate parts moulded using virgin and recycled low-density polyethylene (LDPE) materials (100:0, 70:30, 60:40 and 50:50; virgin to recycle material ratios) to find the optimal input parameters for each of the material ratios. Shrinkage in the x and y directions increased in correlation with the recycled ratio, compared to virgin material. Meanwhile, the tensile strength of the thick plate part continued to decrease when the recycled ratio increased. R30 (70:30) had the optimum shrinkage in the x direction with respect to R0 (100:0) material where the shrinkage increased by 24.49% (RSM) and 33.20% (PSO). On the other hand, the shrinkage in the y direction for R30 material increased by 4.48% (RSM) and decreased by 2.67% (PSO), while the tensile strength of R30 (70:30) material decreased by 0.51% (RSM) and 2.68% (PSO) as compared to R0 (100:0) material. Validation tests indicated that the optimal setting of processing parameter suggested by PSO and RSM for R0 (100:0), R30 (70:30), R40 (60:40) and R50 (50:50) was less than 10%.
    URI
    http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72984
    Collections
    • Shayfull Zamree Abd Rahim, Assoc. Prof. Ir. Dr. [41]
    • Mohd Mustafa Al Bakri Abdullah, Prof. Dr. [277]
    • Mohd Nasir Mat Saad, Ir. [9]
    • Mohd Fathullah Ghazli@ Ghazali, Associate Professor Ir. Dr. [21]

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