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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  • Publication
    Optimisation of warpage on plastic injection moulding part using response surface methodology (RSM) and genetic algorithm method (GA)
    ( 2017-09-26)
    Miza A.T.N.A.
    ;
    Shayfull Zamree Abd. Rahim
    ;
    Mohd. Nasir Mat Saad
    ;
    Mohd Fathullah Ghazli@Ghazali
    ;
    Mohd. Hazwan Mohd. Hanid
    In this study, Computer Aided Engineering was used for injection moulding simulation. The method of Design of experiment (DOE) was utilize according to the Latin Square orthogonal array. The relationship between the injection moulding parameters and warpage were identify based on the experimental data that used. Response Surface Methodology (RSM) was used as to validate the model accuracy. Then, the RSM and GA method were combine as to examine the optimum injection moulding process parameter. Therefore the optimisation of injection moulding is largely improve and the result shown an increasing accuracy and also reliability. The propose method by combining RSM and GA method also contribute in minimising the warpage from occur.
  • 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.
  • Publication
    Optimisation of warpage on thin shell plastic part using response surface methodology (RSM) and glowworm swarm optimisation (GSO)
    ( 2017-09-26)
    Asyirah B.N.
    ;
    Shayfull Zamree Abd. Rahim
    ;
    Mohd. Nasir Mat Saad
    ;
    Mohd Fathullah Ghazli@Ghazali
    ;
    Mohd. Hazwan Mohd. Hanid
    In manufacturing a variety of parts, plastic injection moulding is widely use. The injection moulding process parameters have played important role that affects the product's quality and productivity. There are many approaches in minimising the warpage ans shrinkage such as artificial neural network, genetic algorithm, glowworm swarm optimisation and hybrid approaches are addressed. In this paper, a systematic methodology for determining a warpage and shrinkage in injection moulding process especially in thin shell plastic parts are presented. To identify the effects of the machining parameters on the warpage and shrinkage value, response surface methodology is applied. In thos study, a part of electronic night lamp are chosen as the model. Firstly, experimental design were used to determine the injection parameters on warpage for different thickness value. The software used to analyse the warpage is Autodesk Moldflow Insight (AMI) 2012.
  • Publication
    Application of response surface methodology (RSM) and genetic algorithm in minimizing warpage on side arm
    ( 2017-09-26)
    Raimee N.A.
    ;
    Mohd Fathullah Ghazli@Ghazali
    ;
    Shayfull Zamree Abd. Rahim
    ;
    Mohd. Nasir Mat Saad
    ;
    Mohd. Hazwan Mohd. Hanid
    The plastic injection moulding process produces large numbers of parts of high quality with great accuracy and quickly. It has widely used for production of plastic part with various shapes and geometries. Side arm is one of the product using injection moulding to manufacture it. However, there are some difficulties in adjusting the parameter variables which are mould temperature, melt temperature, packing pressure, packing time and cooling time as there are warpage happen at the tip part of side arm. Therefore, the work reported herein is about minimizing warpage on side arm product by optimizing the process parameter using Response Surface Methodology (RSM) and with additional artificial intelligence (AI) method which is Genetic Algorithm (GA).
  • Publication
    Hybrid mold : Comparative study of rapid and hard tooling for injection molding application using Metal Epoxy Composite (MEC)
    ( 2021)
    Radhwan Hussin
    ;
    Safian Sharif
    ;
    Marcin Nabiałek
    ;
    Shayfull Zamree Abd. Rahim
    ;
    Mohd Tanwyn Mohd Khushairi
    ;
    Jerzy J. Wysłocki
    ;
    Mohd. Mustafa Al Bakri Abdullah
    ;
    Mohd. Hazwan Mohd. Hanid
    ;
    Mohd Azlan Suhaimi
    ;
    Katarzyna Błoch
    The mold-making industry is currently facing several challenges, including new competitors in the market as well as the increasing demand for a low volume of precision moldings. The purpose of this research is to appraise a new formulation of Metal Epoxy Composite (MEC) materials as a mold insert. The fabrication of mold inserts using MEC provided commercial opportunities and an alternative rapid tooling method for injection molding application. It is hypothesized that the addition of filler particles such as brass and copper powders would be able to further increase mold performance such as compression strength and thermal properties, which are essential in the production of plastic parts for the new product development. This study involved four phases, which are epoxy matrix design, material properties characterization, mold design, and finally the fabrication of the mold insert. Epoxy resins filled with brass (EB) and copper (EC) powders were mixed separately into 10 wt% until 30 wt% of the mass composition ratio. Control factors such as degassing time, curing temperature, and mixing time to increase physical and mechanical properties were optimized using the Response Surface Method (RSM). The study provided optimum parameters for mixing epoxy resin with fillers, where the degassing time was found to be the critical factor with 35.91%, followed by curing temperature with 3.53% and mixing time with 2.08%. The mold inserts were fabricated for EB and EC at 30 wt% based on the optimization outcome from RSM and statistical ANOVA results. It was also revealed that the EC mold insert offers better cycle time compared to EB mold insert material.
      5  15
  • Publication
    Hybrid mold: comparative study of rapid and hard tooling for injection molding application using Metal Epoxy Composite (MEC)
    ( 2021)
    Radhwan Hussin
    ;
    Safian Sharif
    ;
    Marcin Nabiałek
    ;
    Shayfull Zamree Abd. Rahim
    ;
    Mohd Tanwyn Mohd Khushairi
    ;
    Mohd Azlan Suhaimi
    ;
    Mohd. Mustafa Al Bakri Abdullah
    ;
    Mohd. Hazwan Mohd. Hanid
    ;
    Jerzy J. Wysłocki
    ;
    Katarzyna Błoch
    The mold-making industry is currently facing several challenges, including new competitors in the market as well as the increasing demand for a low volume of precision moldings. The purpose of this research is to appraise a new formulation of Metal Epoxy Composite (MEC) materials as a mold insert. The fabrication of mold inserts using MEC provided commercial opportunities and an alternative rapid tooling method for injection molding application. It is hypothesized that the addition of filler particles such as brass and copper powders would be able to further increase mold performance such as compression strength and thermal properties, which are essential in the production of plastic parts for the new product development. This study involved four phases, which are epoxy matrix design, material properties characterization, mold design, and finally the fabrication of the mold insert. Epoxy resins filled with brass (EB) and copper (EC) powders were mixed separately into 10 wt% until 30 wt% of the mass composition ratio. Control factors such as degassing time, curing temperature, and mixing time to increase physical and mechanical properties were optimized using the Response Surface Method (RSM). The study provided optimum parameters for mixing epoxy resin with fillers, where the degassing time was found to be the critical factor with 35.91%, followed by curing temperature with 3.53% and mixing time with 2.08%. The mold inserts were fabricated for EB and EC at 30 wt% based on the optimization outcome from RSM and statistical ANOVA results. It was also revealed that the EC mold insert offers better cycle time compared to EB mold insert material.
      2  9