Mohd Zakimi Zakaria
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Preferred name
Mohd Zakimi Zakaria
Official Name
Mohd Zakimi , Zakaria
Alternative Name
Zakaria, Mohd Z.
Zakaria, M. Z.
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Scopus Author ID
36999011800
Researcher ID
D-7223-2015

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Prediction of the material consumption of PLA plus fused deposition models using artificial neural network technique

2024-04-22 , Nasuha H. , Mohd Sazli Saad , Mohamad Ezral Baharudin , Azuwir Mohd Nor , Mohd Zakimi Zakaria

Fused Deposition Modelling (FDM) is a complex additive manufacturing (AM) process involving multiple process parameters incapable of being modelled with conventional methods such as regression and mathematical modelling. The goal of the study is to develop an Artificial Neural Network (ANN) model that can accurately predict the material consumption of FDM printed parts considering the effect of process parameters such as layer height, infill density, printing temperature, and printing speed to create an ideal model that can optimize the use of resources and reduce material. The experiment was designed using face centered central composite design (FCCCD) yielding 78 specimens that were weighed using a densimeter to identify material consumption. Then, three networks with a different number of hidden layers and neurons were trained to identify the best-performing ANN structure with the lowest mean squared error (MSE), root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE) and highest coefficient of determination (R2). The fittest models were modelled and compared to identify the best-performing structure. Results indicated that the ANN model with double hidden layers with 19 and 14 neurons each showed the most precise prediction in modelling material consumption with the lowest MSE of 0.00096.

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Medium sized industrial motor solutions to mitigate the issue of high inrush starting current

2021-05-03 , Azizan N.S. , Azizan M.M. , Muhammad Izuan Fahmi Romli , Muhammad Zaid Aihsan , Muzammil Jusoh , Nashrul Fazli Mohd Nasir , Mohd Zakimi Zakaria

Starting of a medium or large induction motors generate such a large current during direct-on-line (DOL) starting process to the point that it can drop the voltage of power supply. The induction motor can be broken, its characteristics can be changed, and performances of the motor can be worsened. A significant higher starting current than the rated current can generate mechanical and thermal stress on the motor and the loads. High-voltage fluctuations, dips and sags can arise in electrical power systems associated with the motor. To overcome this problem, various starters were designed. There are several types of starters in which can be divided into conventional starters and power electronic drives. Conventional starters are such as direct-online, star-delta and autotransformer whereas the example for power electronics are matrix converter, frequency inverter and soft starter. In this paper, the design of autotransformer and soft starter are focused in order to compare inrush current during the start-up three phase medium sized industrial induction motor by using MATLAB/Simulink software. Both starters were targeted to resolve the problems inherent in the dynamic operation of induction motors, which included current and torque surges during the motor start up. The autotransformer gives the choice to consumer in selecting different tap values, in which is the advantage to consumer to vary their starting current and starting torque according to its application. On the other hand, the three-phase soft starter employs two anti-parallel connected switches in each phase. Thyristors act as the switches due to their higher power rating and high efficiency. Then, both methods will be compared to prove the best performance in mitigate high inrush current. The best of the two is likely to be the answer for mitigating the issue of high inrush starting current for a medium size motor at industries.

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Smart Gateless System using RFID Technology in Universiti Malaysia Perlis

2021-06-11 , Ainur Fasihah Mohd Fazilah , Muzammil Jusoh , Ammar Zakaria , Thennarasan Sabapathy , Mohd Firdaus Ibrahim , Hasliza A Rahim @ Samsuddin , Muhammad Mokhzaini Azizan , Mohd Zakimi Zakaria , Nashrul Fazli Mohd Nasir , Albreem M.A.M. , R Badlishah Ahmad

This paper describes a smart monitoring gate-less system by using RFID technologies that had been implemented in Universiti Malaysia Perlis. The objective of this system is to ease the security to monitoring the cars-in and cars-out from the main gate manually. The security can check and manage the staff by system management in PC. This smart monitoring gate-less system consists of RFID tag antenna that be attached at sticker's staff, RFID reader and software management application. For the software management application, this project used LabView as a simulation tool for the data acquisition. The data which contains of name, staff number, number plate, car model and color will be stored in cloud-based storage. All the information data can be accessed from any location because the security management can access it through mobile. This project will present how efficient the vehicle control application on campus which enable the security guard to check a car sticker either legal or illegal in a shortest way.

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