Mohd. Hazwan Mohd. Hanid
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Preferred name
Mohd. Hazwan Mohd. Hanid
Official Name
Mohd. Hazwan, Mohd. Hanid
Alternative Name
Mohd Hanid, Mohd Hazwan
Hanid, M. H.M.
Hanid, Mohd Hazwan Mohd
Main Affiliation
Scopus Author ID
57193312815
Researcher ID
CTT-1309-2022

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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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