Azmi Harun
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Preferred name
Azmi Harun
Official Name
Azmi, Harun
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Scopus Author ID
57197080673
Researcher ID
ABC-3347-2020

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Investigation on delamination factor (Fd) of kenaf fibre reinforced plastic composite materials under drilling process

2024-03-07 , Azmi Harun , Hassan C.H.C. , Mohd Al-Hafiz Mohd Nawi , Zailani Zainal Abidin

Natural Fibre Reinforced Plastic Composite material that the Kenaf Fibre are used to reinforce to the polymer matrix to improve its mechanical properties. It is environmentally friendly and low cost as compare to non-biodegradable material. It is also widely used in Aerospace, Automotive and Furniture industry. Drilling process plays an important role in fabrication in these industries. However, some defects often occur on the Natural Fibre Reinforced Plastic Composite during drilling process. The major damage is delamination that are found on the surface of the composite in drilling process. This damage reduces the mechanical properties of the composite. Therefore, the objective of this study is to investigate and minimize the delamination by using Response Surface Methodology (RSM). Cutting speed and feed rate are found significant to delamination in this study. The higher the previous researchers investigate the cutting speed with low feed rate, the lower the delamination. Therefore, the conclusion of this study is high cutting speed with low feed rate improve the mechanical quality of composite.

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Nature Driven IOT Based Automation of Aquaponic System

2021-01-01 , Zakaria S. , Jafri M.A.A.A. , Ariff E.A.R. , Roshaliza Hamidon , Zailani Zainal Abidin , Muhammad Syahril Bahari , Azmi Harun

Automation of Aquaponic with (Internet of Things) IoT system model is designed with the integration of hydroponics (growing plant or vegetable without soil), aquaculture (fish farming) and vertical farming. The main purpose of the designed model is to ultimately support the survival and healthy growth of bacteria in plants, fish as well as saving water by increasing the productivity. The development of the system with IoT to monitor and control parameters such as water level, water temperature and water pH. The control system based on Arduino Uno, multiple sensors for water pH, water level and water temperature as well as automatic feeder dispenser are used in this project. This system is using IoT as a platform supported by Wi-Fi module ESP8266 Wi-Fi module in Blynk Software. System settings and controls can be carried out manually on the main control unit or remotely through mobile phone commands. This system also used to collect different data parameters and those data will be compared with the optimal range as the data will be transferred to Blynk for analysis. Therefore, the design system can operate independently without manually monitoring and utilized IoT to control and monitor the system systematically.

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Implementation of PID Controller for Solar Tracking System

2021-01-01 , Zakaria S. , Ong J.Q. , Engku Ariff E.A.R. , Roshaliza Hamidon , Zailani Zainal Abidin , Muhammad Syahril Bahari , Azmi Harun

Proportional integral derivative (PID) controllers are widely used in industrial processes cue to their simplicity and effectiveness for linear and nonlinear systems. Solar tracking system is one of the most direct approaches adopted to harvest more solar energy from photovoltaic (PV) system compared to stationary solar system. Hence, the PV panels able to receive maximum sunlight and generate more energy. Arduino based prototype dual axis (Azimuth-Altitude) solar tracking system is constructed with the implementation of PID controller. The performance of dual axis tracking system and stationary solar system are compared and discussed. Types of tuning methods for PID constant will be determine with use of Arduino IDE. Comparative results depicted that performance in terms of current, voltage and power value. According to results, dual axis solar tracking system with implement of PID controller is shown better performance compare to stationary solar system.

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Perturbation parameters tuning of multi-objective optimization differential evolution and its application to dynamic system modeling

2015 , Mohd Zakimi Zakaria , Hishamuddin Jamaluddin , Robiah Ahmad , Azmi Harun , Radhwan Hussin , Ahmad Nabil Mohd Khalil , Muhammad Khairy Md Naim , Ahmad Faizal Annuar

This paper presents perturbation parameters for tuning of multi-objective optimization differential evolution and its application to dynamic system modeling. The perturbation of the proposed algorithm was composed of crossover and mutation operators.  Initially, a set of parameter values was tuned vigorously by executing multiple runs of algorithm for each proposed parameter variation. A set of values for crossover and mutation rates were proposed in executing the algorithm for model structure selection in dynamic system modeling. The model structure selection was one of the procedures in the system identification technique. Most researchers focused on the problem in selecting the parsimony model as the best represented the dynamic systems. Therefore, this problem needed two objective functions to overcome it, i.e. minimum predictive error and model complexity.  One of the main problems in identification of dynamic systems is to select the minimal model from the huge possible models that need to be considered. Hence, the important concepts in selecting good and adequate model used in the proposed algorithm were elaborated, including the implementation of the algorithm for modeling dynamic systems. Besides, the results showed that multi-objective optimization differential evolution performed better with tuned perturbation parameters.

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Effect of Different Cutting Conditions on Tool Wear and Chip Formation in Drilling of Cobalt Chromium Molybdenum

2021-01-01 , Roshaliza Hamidon , Zulkefli N.A. , Saravanan R. , Zailani Zainal Abidin , Muhammad Syahril Bahari , Zakaria S. , Azmi Harun

Cobalt-Chromium Molybdenum (CoCrMo) alloy is categorized under hard to cut material due to its unique combination characteristics such as high strength and low thermal conductivity. However, there was a problem during machining hard alloy material which is rapid tool wear. The tool wear will cause changes at tooltip geometry consequently has significant influence on the chip forming. There are some factors that influence tool wear which are cutting parameters, type of drill bit, and cutting fluids. In this study, a series of experiment were conducted to investigate the effect of cooling conditions on tool wear and chip formation during drilling this material. The cooling conditions used were dry, pure Karanja oil (MQL condition), and combination of Hexagonal boron nitride (hBN) nanoparticles with Karanja oil (MQL condition). The experiment was conducted under constant cutting speed of 20 m/min, and feed rate of 0.07 mm/rev through holes. Each hole was inspected when the tool wear reached 0.3 mm. The result showed that mixed of hBN with Karanja Oil (MQL condition) had lowest growth of flank wear and produced more holes compared to dry and pure Karanja oil condition. In addition, for chip formation, the size of lamellae produced was finest compared to other conditions.

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Impact of chilled air nozzle types on surface integrity in drilling of aluminum alloy 1050

2024-07 , Zailani Zainal Abidin , Zakariya, Wan Nur Fakhira Wan , Roshaliza Hamidon , Muhammad Salihin Zakaria , Muhammad Hasnulhadi Mohammad Jaafar , Norshah Afizi Shuaib , Azmi Harun , Morsidi, Maziri

Using cutting fluid in the machining process for Aluminum Alloy 1050 is advantageous as it helps mitigate the effects of temperature generated during cutting. It can shorten tool life and impair the quality of machine parts. Despite its benefits, cutting fluids has several disadvantages, such as high expenses, potential environmental harm, and user health risks. This research evaluates the effects of green cutting conditions, particularly nozzle types, on the metallurgical properties of the material. Their impacts on tool wear, X-Ray Diffractometer (XRD) pattern, Full Width at Half Maximum (FWHM), crystallite size, and hardness during the drilling process were investigated. The findings indicate that using chilled air with dual nozzles for cooling and lubrication is highly effective, resulting in less tool wear and a relatively purer crystalline structure of the material compared to other conditions. These results emphasize the importance of controlling cutting conditions, especially nozzle types, to produce high-quality parts with improved metallurgical properties.

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Enhancement on the surface quality in machining of aluminum alloy using graphene nanoparticles

2024-03-07 , Zailani Zainal Abidin , Ariffin N.I. , Norshah Afizi Shuaib , Roshaliza Hamidon , Azmi Harun , Sultan A.A.M.

Aluminum alloys are popularly used in the aerospace industry due to their lightweight and high strength-to-weight ratio. However, cutting these alloys can result in various machinability issues such as tool wear, built-up edges, and material adherence on the cutting tool. To address these issues and minimize the use of lubricants, researchers are exploring alternative greener techniques. One such technique is the use of nano lubrication technology. In this research, the consequence of three cutting techniques - dry cutting, minimum quantity lubrication (MQL), and MQL dispersed with graphene nanoparticles - was experimentally studied to assess their impact on hole quality, surface roughness, and the number of holes drilled. The findings showed that the addition of graphene nanoparticles improved roughness quality, reduced tool wear, and increased the number of holes drilled, but had less impact on hole accuracy. This study highlights the importance of nanoparticles in enhancing the machinability of aluminum alloys and offers promising avenues for future research in this area.

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Study the Effect of Cutting Parameter in Machining Kenaf Fiber Reinforced Plastic Composite Materials Using DOE

2021-01-01 , Azmi Harun , Che Haron C.H. , Zailani Zainal Abidin , Roshaliza Hamidon , Muhammad Syahril Bahari , Zakaria S. , Hamid S.H.A.

Natural fiber is a hairy like raw material which comes from natural sources such as animal, plant, and mineral fibers. Kenaf fiber known with scientific name as Hibiscus Cannabinus is one natural fibers which becoming popular as a reinforced for plastic composites material in the industrial application such as automobile, aircraft, and marine engineering. However, milling these materials present a few problems, which are surface roughness and delamination factors are appear during the machining process, associated with the characteristics of the material and the cutting parameter. The objective of evaluating the cutting parameters (spindle speed, feed rate, and depth of cut), the influence of the fibers under surface roughness (Ra) and delamination factor (Fd). In this research study, Response Surface Methodology (RSM) was used to conduct the experiment. In addition, this method established considering milling with prefixed cutting parameters using HSS end mill. The experiment result was analyzed using Design Expert software. It was found that the optimum parameters for the minimum surface roughness and delamination were spindle speed at 2000 rpm, feed rate at 300 mm/min, and depth of cut at 2.0 mm. The spindle speed and feed rate are the main factors influence the effect of surface roughness and delamination in kenaf fiber reinforced plastic. High spindle speed and low feed rate resulted in minimum surface roughness and delamination.

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