Mohd Nasir Mat Saad, Ir.http://dspace.unimap.edu.my:80/xmlui/handle/123456789/399962024-03-29T00:10:03Z2024-03-29T00:10:03ZOptimisation of Shrinkage and Strength on Thick Plate Part Using Recycled LDPE MaterialsNorshahira, RoslanShayfull Zamree, Abd RahimAbdellah El-hadj, AbdellahMohd Mustafa Al Bakri, AbdullahBłoch, KatarzynaPietrusiewicz, PawełNabiałek, MarcinSzmidla, JanuszKwiatkowski, DariuszCorreia Vasco, Joel OliveiraMohd Nasir, Mat SaadMohd Fathullah, Ghazalihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/729842021-12-23T06:28:32Z2021-04-05T00:00:00ZOptimisation of Shrinkage and Strength on Thick Plate Part Using Recycled LDPE Materials
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
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%.
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2021-04-05T00:00:00ZWarpage optimisation using Recycled Polycar-bonates (PC) on Front Panel HousingNur Aisyah Miza, Ahmad TamiziAbdellah El-hadj, AbdellahMohd Mustafa Al Bakri, AbdullahNabiałek, MarcinJ. Wysłocki, JerzyJeż, BartłomiejPalutkiewicz, PawełRozyanty, Abdul RahmanMohd Nasir, Mat SaadMohd Fathullah, Ghazlihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/729812021-12-23T03:25:05Z2021-03-15T00:00:00ZWarpage optimisation using Recycled Polycar-bonates (PC) on Front Panel Housing
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
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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2021-03-15T00:00:00ZAnalysis of Strength on Thick Plate Part using Genetic Algorithm Optimisation MethodS., M. AzlanShayful Zamree, Abd RahimMohd Nasir, Mat SaadMohd Sazli, SaadM., M. RashidiMohd Fathullah, Ghazli @ Ghazalihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/691662020-12-30T01:48:08Z2016-01-01T00:00:00ZAnalysis of Strength on Thick Plate Part using Genetic Algorithm Optimisation Method
S., M. Azlan; Shayful Zamree, Abd Rahim; Mohd Nasir, Mat Saad; Mohd Sazli, Saad; M., M. Rashidi; Mohd Fathullah, Ghazli @ Ghazali
This study focuses on the optimisation of the injection moulding parameters to maximise the strength ofmoulded parts using a simulation software. The moulded parts were injected with Acrylonitrile- Butadiene-Styrene (ABS) whereas mould temperature, melt temperature, packing pressure and packing time were selected as variable process parameters. The polynomial model obtained using Design of Experiment (DOE) was integrated with the Response Surface Methodology (RSM) and Centre Composite Design (CCD). The RSM was supported with Genetic Algorithm (GA) to anticipate the optimum value of processing parameters with the highest strength. It was found that strength of the parts can be improved 2.2% using the methodology reported herein.
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2016-01-01T00:00:00ZShrinkage analysis on thick plate part using Response Surface Methodology (RSM)M. IsafiqShayful Zamree, Abd RahimMohd Nasir, Mat SaadM., M. RashidiMohd Fathullah, Ghazli @ GhazaliNik Noriman, Zulkeplihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/691642020-12-30T01:42:22Z2016-01-01T00:00:00ZShrinkage analysis on thick plate part using Response Surface Methodology (RSM)
M. Isafiq; Shayful Zamree, Abd Rahim; Mohd Nasir, Mat Saad; M., M. Rashidi; Mohd Fathullah, Ghazli @ Ghazali; Nik Noriman, Zulkepli
The work reported herein is about an analysis on the quality (shrinkage) on a thick plate part using Response Surface Methodology (RSM). Previous researches showed that the most influential factor affecting the shrinkage on moulded parts are mould and melt temperature. Autodesk Moldflow Insight software was used for the analysis, while specifications of Nessei NEX 1000 injection moulding machine and P20 mould material were incorporated in this study on top of Acrylonitrile Butadiene Styrene (ABS) as a moulded thermoplastic material. Mould temperature, melt temperature, packing pressure and packing time were selected as variable parameters. The results show that the shrinkage have improved 42.48% and 14.41% in parallel and normal directions respectively after the optimisation process.
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2016-01-01T00:00:00Z