Mohd Fathullah Ghazli@Ghazali
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Mohd Fathullah Ghazli@Ghazali
Official Name
Mohd Fathullah, Ghazli@Ghazali
Alternative Name
Fathullah, Mohd
Ghazli, Mohd
Ghazli, M. F.
Ghazali, Mohd Fathullah
Fathullah, G. M.
Main Affiliation
Scopus Author ID
57428935900
Researcher ID
AAK-5597-2020

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Effect of tool engagement on cutting force for different step over in milling aisi p20 tool steel

2021-01-01 , Roshaliza Hamidon , Mohamed N.I. , Saravanan R. , Azmi H. , Zailani Zainal Abidin , Mohd Fathullah Ghazli@Ghazali

In mold production, end milling with tool path strategies is required for the process known as pocket operation. Different step overs involve depending on the type of tool path strategy used. Thus, different engagement will occur and leads to fluctuation of cutting force due to different step over during the process. However, most of study before focused on the effect of cutting speed, feed rate and depth of cut only in machining AISI P20. Thus, in this study, step over will be considered as one of the factor to improve machining force. The objective of this study are to evaluate the effect of cutting parameters and step over on cutting force and to study the behavior of cutting force for different tool engagement. A series of milling operation was carried out by varying cutting speed and feed rate. However, the depth of cut was set to 0.25 mm for each run. Step over with 100%, 75% and 50% were selected in this study. L27 Taguchi and S/N ratio were used to determine the significant factors that influence the result. Within the range of cutting parameters selected, feed rate were found to be the most significant parameters that influence cutting force. The highest cutting force found for 100% step over compared to 75% and 50% step over. According to the result, cutting force increased as the step over increased. In can be concluded that, step over is one of the important cutting parameter that affected machining output.

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Green perspective in food industry production line design: a review

2017-09-26 , Xian C.Y. , Tan Chan Sin , Nur Liyana Mohd Rosli , Atikah Haji Awang @ Haji Mohd Ramli , Mohd Fathullah Ghazli@Ghazali

The design of green manufacturing process in food industries is currently a hot research topic in the multidisciplinary area of applied chemistry, biology and technology. Several process such as freezing, cutting, drying, tempering, bleaching, sterilization, extraction and filtering have been applied efficiency in the food industry. Due to the rapid development of food and peripheral technology, the use of new physical processing or auxiliary processing methods can maintain food inherent nutrients, texture, color, and freshness and also reduce environmental pollution and energy consumption in food processing. Hence, this review paper will study and summarize the effects of green manufacturing process in food industries in term of waste reduction, materials and sustainability manufacturing. In any case, All the food processing equipment must comply with strict standards and regulation, this action will ensure the securing the food quality and safety of food products to consumers.

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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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Tool wear and surface evaluation in drilling fly ash geopolymer using HSS, HSS-Co, and HSS-TiN cutting tools

2021 , Mohd Fathullah Ghazli@Ghazali , Mohd. Mustafa Al Bakri Abdullah , Shayfull Zamree Abd. Rahim , Joanna Gondro , Paweł Pietrusiewicz , Sebastian Garus , Tomasz Stachowiak , Andrei Victor Sandu , Muhammad Faheem Mohd. Tahir , Mehmet Erdi Korkmaz , Mohamed Syazwan Osman

This paper reports on the potential use of geopolymer in the drilling process, with respect to tool wear and surface roughness. The objectives of this research are to analyze the tool life of three different economy-grade drill bit uncoated; high-speed steel (HSS), HSS coated with TiN (HSS-TiN), and HSS-cobalt (HSS-Co) in the drilling of geopolymer and to investigate the effect of spindle speed towards the tool life and surface roughness. It was found that, based on the range of parameters set in this experiment, the spindle speed is directly proportional to the tool wear and inversely proportional to surface roughness. It was also observed that HSS-Co produced the lowest value of surface roughness compared to HSS-TiN and uncoated HSS and therefore is the most favorable tool to be used for drilling the material. For HSS, HSS coated with TiN, and HSS-Co, only the drilling with the spindle speed of 100 rpm was able to drill 15 holes without surpassing the maximum tool wear of 0.10 mm. HSS-Co exhibits the greatest tool life by showing the lowest value of flank wear and produce a better surface finish to the sample by a low value of surface roughness value (Ra). This finding explains that geopolymer is possible to be drilled, and therefore, ranges of cutting tools and parameters suggested can be a guideline for researchers and manufacturers to drill geopolymer for further applications

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Feasibility of Multilayer Perceptron (MLP) Network to Correlate Air Quality Index (AQI) and COVID-19 Daily Cases

2023-01-01 , Abd Maruzuki M.I.F. , Tengku Zahidi T.S.A. , Khairudin K. , Osman M.S. , Jasmy N.F. , Abdul Hadi B. , Akbar M.S. , Saufie A.Z.U. , Mohd Fathullah Ghazli@Ghazali , Nor Syamsudin D.S. , Mohd Nazeri N.B.

A movement control order (MCO) was implemented in Malaysia starting from March 18th, 2020, as a pandemic control strategy that restricted all movement and daily outdoor activities to curb the transmission of COVID-19 pandemic. The most populated area in Malaysia, Petaling Jaya, Selangor, was selected to investigate the relationship between the COVID-19 outbreak and air pollution. Multilayer perceptron (MLP) model was used in this study to correlate air quality index (AQI) with COVID-19-related cases/deaths. The underlying hypothesis is that a pre-determined particulate concentration can encourage COVID-19 airborne transmission and make the respiratory system more susceptible to this infection. The in-silico strategy employed an innovative machine learning (ML) methodology, specifically MLP network using AQI data from the Department of Environment (DOE), Malaysia as input data and number of COVID-19 cases from the Ministry of Health, Malaysia as target data. The MLP model was trained for 10,000 times. Based on the results obtained, the model starts to converge after 1000 epochs with a small mean absolute error (MAE) (173.0–118.9) from day 1 to day 14. However, there is no definitive correlation between predicted COVID-19 patients and the AQI with respect to day configuration.

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Design an Interactive-Coding Web-Based Learning Module for Algorithm and Programming Course in Industrial Engineering Students

2021-01-01 , Darmawan V.E.B. , Chen Y.W. , Mohd Fathullah Ghazli@Ghazali , Larasati A. , Mu'Id A. , Julia R.A.

Computer programming is one of the critical competencies that engineering students should have. Meanwhile, not all engineering students have enough prior experience and knowledge in programming, especially for students in Industrial Engineering majors. There is an opportunity to develop an interactive learning and teaching approach as the growing interactive online learning system, which could facilitate students achieving their programming competencies to solve practical problems. This paper presents the design of a web-based learning module using interactive coding to enhance students learning process. The system was developed using the SDLC method with 3-tier architecture. It is also equipped with students' data, text and video learning materials, assessments, and an 'interactive coding'. Through interactivity, 'interactive coding' could facilitate students to deepen their understanding of coding practice from the online tutorials provided by the instructors. The text and video materials could add and drop as needed regarding the curriculum. The design result is promising to extend for any programming course in higher education.

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Optimization of heating rate on hybrid microwave sintering of the PM Fe-Cr MMCs reinforced with Al2O3particle

2021-07-21 , Wan Abdul Rahman Assyahid Wan Ibrahim , Shayfull Zamree Abd. Rahim , Radhwan Hussin , Muhamad Farizuan Rosli , Mohd Fathullah Ghazli@Ghazali , Murizam Darus

This study reports the optimization of heating rate on the microwave sintered Fe-Cr-Al2O3 metal matrix composite (MMC). The heating rate was selected between 10°C/min to 60°C/min with increment of 10°C/min respectively. The samples were fabricated via PM route and microwave sintering was carried out in a tubular microwave furnace HAMiLab-V3 in N2 atmosphere purposely to avoid any oxidation and chemical reaction to samples. The microstructure of sintered samples was evaluated using SEM and bulk density and porosity were determined based on ASTM B962 - 17 and the microhardness were determined based on ASTM E384. The optimized heating rate of the sample was selected based on the micro hardness value and total porosity percentage as well as based on SEM microstructure analysis. The results revealed that the optimum heating rate occurred at 20°C/min due to the highest value of hardness achieved which is about 119.28 HV with at the highest bulk density about 6.07 g/cm3 and at the lowest total porosity about 14.55%. SEM micrographs also showed that the diffusion was mostly effective at 20°C/min heating rate compared to others, indicated that significant grain boundary diffusion of Fe matrix into Al2O3 particle was occurred.

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Comparison of hook and straight steel fibers addition on malaysian fly ash-based geopolymer concrete on the slump, density, water absorption and mechanical properties

2021 , Meor Ahmad Faris bin Meor Ahmad Tajudin , Mohd. Mustafa Al Bakri Abdullah , Ratnasamy Muniandy , Mohammad Firdaus Abu Hashim , Katarzyna Błoch , Bartłomiej Jeż , Sebastian Garus , Paweł Palutkiewicz , Nurul Aida Mohd Mortar , Mohd Fathullah Ghazli@Ghazali

Geopolymer concrete has the potential to replace ordinary Portland cement which can reduce carbon dioxide emission to the environment. The addition of different amounts of steel fibers, as well as different types of end-shape fibers, could alter the performance of geopolymer concrete. The source of aluminosilicate (fly ash) used in the production of geopolymer concrete may lead to a different result. This study focuses on the comparison between Malaysian fly ash geopolymer concrete with the addition of hooked steel fibers and geopolymer concrete with the addition of straight-end steel fibers to the physical and mechanical properties. Malaysian fly ash was first characterized by X-ray fluorescence (XRF) to identify the chemical composition. The sample of steel fiber reinforced geopolymer concrete was produced by mixing fly ash, alkali activators, aggregates, and specific amounts of hook or straight steel fibers. The steel fibers addition for both types of fibers are 0%, 0.5%, 1.0%, 1.5%, and 2.0% by volume percentage. The samples were cured at room temperature. The physical properties (slump, density, and water absorption) of reinforced geopolymer concrete were studied. Meanwhile, a mechanical performance which is compressive, as well as the flexural strength was studied. The results show that the pattern in physical properties of geopolymer concrete for both types of fibers addition is almost similar where the slump is decreased with density and water absorption is increased with the increasing amount of fibers addition. However, the addition of hook steel fiber to the geopolymer concrete produced a lower slump than the addition of straight steel fibers. Meanwhile, the addition of hook steel fiber to the geopolymer concrete shows a higher density and water absorption compared to the sample with the addition of straight steel fibers. However, the difference is not significant. Besides, samples with the addition of hook steel fibers give better performance for compressive and flexural strength compared to the samples with the addition of straight steel fibers where the highest is at 1.0% of fibers addition.

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Risk evaluation on D power press operation report at D manufacturing company in Malaysia

2021-05-03 , Mohd Fathullah Ghazli@Ghazali , Mohd Sazli Saad , Osman M.S. , Ling C.J. , Li F.H. , Yee L.S. , Lee M.J. , Shing S.C.

This paper reports a case study of accidents or incident analysis in the power press machine at a press machine area in a manufacturing company. Hazard identification, cause and effect, risk level and solutions was assessed. There are total of seven hazards identified in the power press machine. These seven hazards consist of six medium level of risk and one low level of risk respectively. These listed hazards in the workplace will directly affect the worker in the view of safety and health. However, there are some solutions regarding these hazards had been proposed. By carry out some discussion, certain solution is suggested to solve the hazard in the workplace. The suggested solution shown in the HIRARC analysis can be said as simple solution which the company can conduct it successfully. It can help to reduce or solve the hazards that will protect their workers well. This will also increase their worker's productivity and comfortability in work. Pareto analysis had shown clearly with the higher risk hazards consist in the workplace that can let the company to solve the hazards with priority according to the analysis shown. Pareto analysis will help to solve the problem effectively. All these solutions suggested will only take about 2 months to solve all the hazards.

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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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