Shayfull Zamree Abd. Rahim
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Preferred name
Shayfull Zamree Abd. Rahim
Official Name
Shayfull Zamree, Abd. Rahim
Alternative Name
Shayfull, Zamree Abd Rahim
Abd Rahim, Shayfull Zamree Abd
Shayfull, Zamree
Abd Rahim, S. Z.
Abd Rahim, Shayfull Zamree Bin
Bin Abd Rahim, S. Zamree
Abd Rahim, S.
zamree bin abd Rahim, Shayfull
Rahim, Shayfull Zamree Abd
Zamree Abd Rahim, Shayfull
Zambree, Shayfull
Rahim, Shayfull Z.B.Abd
Zamree, A. R.Shayfull
Shayfull, Z.
Main Affiliation
Scopus Author ID
54941291700
Researcher ID
I-2840-2019

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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
    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 BÅ‚och
    ;
    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%.
  • 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.
  • 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
    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.
  • 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
    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.
  • Publication
    Design and analysis of solar car chassis
    (IOP Publishing Ltd., 2020)
    Radhwan Hussin
    ;
    Shayfull Zamree Abd. Rahim
    ;
    Mohd. Nasir Mat Saad
    ;
    Abdellah el-hadj Abdellah
    ;
    Irfan Abd Rahim
    A solar car is a lightweight, low power vehicle designed and built with a single purpose in mind–racing with and only drive during the day. It has limited seating (one or two peoples) and usually has very little cargo capacity. However, it offers an excellent opportunity to develop future technologies that can be applied to practical applications. This study will focus on design and analysis solar car chassis part. The primary challenge in developing an effective solar car chassis is to maximize strength and safety while minimizing the weight. Every extra pound requires more energy to move down the road. However, safety is a primary concern and the chassis must meet stringent strength and safety requirements. The purpose of the study is to understand the concept design of solar car chassis in terms of calculation, material selection, chassis style selection and virtual analysis for chassis using CATIA software.
  • Publication
    DFMA method: Analysis on a mechanical sharpener
    ( 2021-07-21)
    Muhamad Farizuan Rosli
    ;
    Noorhafiza Muhammad
    ;
    Shayfull Zamree Abd. Rahim
    ;
    Mohd. Nasir Mat Saad
    ;
    Mohd Fathullah Ghazli@Ghazali
    ;
    Shafeeq Ahmad Shamim Ahmad
    Creativity and innovation in any organization are vital to its successful performance. Innovate a product have to consists of many different process of design. The flow of design such as identifying the problem of the product, determining the objective of the research, identifying the customer needs, undergoing survey and analysis data to get the list of metrics. Besides that, house of quality and concept generation will help the research to get know whether the design is full fill the customer needs or not. Concept testing will help to identify the final concept selection. Modelling of the final concept can help to show the target marketing to give their own response on this research. Customer needs can help to make the product undergo further improvement.
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