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

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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.

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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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Design for assembly (DFA) analysis of old bicycle tire inflator

2020-11-02 , Rosli M.F. , Mohd Effendi Muhammad Suandi , Shayfull Zamree Abd. Rahim , Mohd. Nasir Mat Saad , Irfan Abd Rahim

This Paper is studied on the assembly problem of old bicycle tire inflator in the early stage of product design. During producing a product, the most important decisions are the final cost of the product. The approach based on Boothroyd Dewhurst methods has been implemented in this study to provide a quantitative measure called the design efficiency based on an analysis of a product. The main focuses of this research are to analyze the current design efficiency of old bicycle tire inflator and improved design efficiency. The product was design by using UNIGRAPHIC NX. The components and manufacturing of the old bicycle tire inflator were undergone alteration with the design for assembly (DFA) and redesigned methods.

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Analysis a harvesting mechanism of swiftlets nest using finite element analysis

2020-11-02 , Rosli M.F. , Mohd Effendi Muhammad Suandi , Mohd. Nasir Mat Saad , Shayfull Zamree Abd. Rahim , Irfan Abd Rahim

For this project, it is focused on the harvesting swiftlets nest process to design and analysis new mechanism of harvest equipment. Industry swiftlets nest is not a new industry in Malaysia. It gets very high demand from China. Harvesting swiftlets nest is one of the processes to produce any products that made from swiftlets nest. Currently, they are using manual harvesting equipment to harvest swiftlets nest without using any auxiliary equipment. It is the first step in process flow and very important role before cleaning process. The objectives of this project are to design mechanism harvesting equipment to harvest swiftlets nest and to decrease the time of harvesting swiftlets nest process in a swiftlets house in a day. The design of harvesting equipment is using CAD software and then transfer to Finite Element Analysis (FEA) to analyses the capabilities of part design. At the end of this project, this research will give understanding about design using CAD software and do analysis that improved the harvesting equipment.

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Analysis hairdryer using design for manufacturing and assemble (DFMA)

2021-07-21 , Mohd. Nasir Mat Saad , Muhamad Farizuan Rosli , Shayfull Zamree Abd. Rahim , Ahmad S.A.S. , Mohd Effendi Muhammad Suandi , Asri M.A.B. , Tamizi N.S.B.M. , Haris N.A.B.M. , Zawawi S.A.B.

For this project, analysis of the redesign of original product hair dryer, the project is focused on the Hair dryers design, size, color, material and cost. Hair dryer are electromechanical device designed to dry the hair. This project is not only intended to analyze its body, but is also recognized as the part, element and component with a systematic function to analyze in detail the innovation method of product system design, which is taken as its concept to carry out the analysis on the component elements of hairdryers and the overall analysis and review of the system design process of hair dryers. Most people are familiar with the daily routine of washing, drying, and styling their hair. Although hair will eventually dry on its own if given enough time, most people reach for a hair dryer to speed up the process. Hair dryer are commonly used and can cause hair damage such as roughness, dryness and loss of hair color. The design of hairdryer is using CAD software and then transfer to Finite Element Analysis (FEA) to analyses the capabilities of part design. At the end of this project, this research will give understanding about design using CAD software and do analysis that improved the hairdryer equipment.

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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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Synthesis and Luminescent Properties of LiEu (0.50-x) Gd 0.50 (WO 4) 2 Sm x Red Phosphor

2018-06-12 , Syazwanie Zailani , Mohd Fathullah Ghazli@Ghazali , Rosli Hussin , Shayfull Zamree Abd. Rahim , Mohd. Nasir Mat Saad

Red phosphor is widely used in enhancing white light emitting diodes. Recent trends show there are several efforts in improving the efficiency of lighting particularly using Europium (III) as activators in Gadolinium tungstate phosphors. In this work, LiEu(0.50-x)Gd0.50(WO4)2Smx red phosphor was synthesized using solid-state reaction. The crystal structure, morphology and photoluminescence properties of the sample were analysed. The structure of the phosphor was found to be tetragonal with space group I41/a by characterizing the phosphor using the X-ray powder diffraction (XRPD) application. The morphologies present the angular-shaped particles. The highest emission peak occurred at 615 nm corresponding to the 5D0→7F2 transition under near-UV region. The optimum amount of Sm3+ that enhanced the intensity of the host lattice at x = 0.15 mol. The improvement on the photoluminescence properties of these phosphors without any changes on the structure and crystal symmetry shows a good potential of the red emitting phosphor to be used in the light emitting diodes (WLEDs) applications.

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Optimisation of shrinkage and strength on thick plate part using recycled LDPE materials

2021 , Norshahira Roslan , Shayfull Zamree Abd. Rahim , Abdellah El-hadj Abdellah , Mohd. Mustafa Al Bakri Abdullah , Katarzyna Błoch , Paweł Pietrusiewicz , Marcin Nabiałek , Janusz Szmidla , Dariusz Kwiatkowski , Joel Oliveira Correia Vasco , Mohd. Nasir Mat Saad , Mohd Fathullah Ghazli@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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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.

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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).

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