Mohd. Nasir Mat Saad
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Preferred name
Mohd. Nasir Mat Saad
Official Name
Mohd. Nasir , Mat Saad
Alternative Name
Mat Saad, M. N.
Mat Saad, Mohd Nasir
Nasir, Saad Mohd Mat
Main Affiliation
Scopus Author ID
57202741371
54942424000
Researcher ID
AFC-7390-2022
FVT-5538-2022

Research Output
Now showing 1 - 2 of 2
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Publication

Warpage optimisation on the moulded part with straight drilled and conformal cooling channels using Response Surface Methodology (RSM), Glowworm Swarm Optimisation (GSO) and Genetic Algorithm (GA) optimisation approaches

2021 , Mohd. Hazwan Mohd. Hanid , Shayfull Zamree Abd. Rahim , Joanna Gondro , Safian Sharif , Mohd. Mustafa Al Bakri Abdullah , Azlan Mohd Zain , Abdellah El-hadj Abdellah , Mohd. Nasir Mat Saad , Jerzy J. Wysłocki , Marcin Nabiałek

It is quite challenging to control both quality and productivity of products produced using injection molding process. Although many previous researchers have used different types of optimisation approaches to obtain the best configuration of parameters setting to control the quality of the molded part, optimisation approaches in maximising the performance of cooling channels to enhance the process productivity by decreasing the mould cycle time remain lacking. In this study, optimisation approaches namely Response Surface Methodology (RSM), Genetic Algorithm (GA) and Glowworm Swarm Optimisation (GSO) were employed on front panel housing moulded using Acrylonitrile Butadiene Styrene (ABS). Each optimisation method was analysed for both straight drilled and Milled Groove Square Shape (MGSS) conformal cooling channel moulds. Results from experimental works showed that, the performance of MGSS conformal cooling channels could be enhanced by employing the optimisation approach. Therefore, this research provides useful scientific knowledge and an alternative solution for the plastic injection moulding industry to improve the quality of moulded parts in terms of deformation using the proposed optimisation approaches in the used of conformal cooling channels mould.

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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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