Muhammad Aiman Ahmad Fozi
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Preferred name
Muhammad Aiman Ahmad Fozi
Official Name
Muhammad Aiman , Ahmad Fozi
Alternative Name
Fozi, Muhammad Aiman Ahmad
Aiman, A. F.
Ahmad Fozi, Muhammad Aiman
Main Affiliation
Scopus Author ID
55487255900
Researcher ID
GOG-9789-2022

Research Output
Now showing 1 - 6 of 6
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The effect of PLA/PVA composition in FDM filament towards porosity behavior for medical applications

2023 , Abdraman Hassan Malloum Gader , Muhammad Aiman Ahmad Fozi , Mohd Zamzuri Mohammad Zain , Muhammad Hasnulhadi Mohammad Jaafar , Muhammad Danial Azman

Nowadays, the use of PLA/PVA composites is expanding in medical fields where personalized products are the best way to accommodate human anthropometric differences. Therefore, new materials are being developed to suit the needs for such applications. However, the material used to create porous structures for 3D printing remains a mystery. In this paper, researchers present a PLA/PVA composition to investigate its porosity factor for the purpose of fabricating a 3D filament for external use in medical applications such as splinting devices. For comparison, compositions were processed using the melt blending method with various PLA/PVA proportions: 70/30, 60/40, 50/50, and 100 percent PLA. Increasing the PVA content of the composition could be a factor in increasing porosity. In this analysis, different percentages of PLA and PVA were used in the compositions. The melting temperature was set at 200°C, and the composition's parameters were modified to increase the amount of PVA content by 30 percent, 40 percent, and 50 percent. Ultimately, 100% PLA was used to compare various proportions of PVA to achieve a better porous structure. The best outcome was observed at 50% due to the more PVA content. The water submerge process was successfully conducted to investigate the composition's porosity improvement.

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Publication

Image Processing Approach for Detection and Quantification of Corrosion Behaviour of AZ91D Magnesium Alloy

2022-01-01 , Zuraila Iberahim , Mohd Zamzuri Mohammad Zain , Abdul Halim Ismail , Alias J. , Muhammad Aiman Ahmad Fozi , Nooraizedfiza Zainon , Marina Marzuki

The AZ91D magnesium alloy is known for its high strength-to-weight ratio, excellent machinability and good castability making it an ideal material to be used in automotive components fabrication. But due to its weak corrosion resistance towards the environment, identifying and quantifying AZ91D magnesium alloy corrosion behaviour before any manufacturing processes can be a huge impact and may provide useful information to the manufacturers. The limitation of conventional corrosion detection and quantification methods also justify the further needs of image processing approach in this study. This paper study the feasibility of an image processing approach using the automatic thresholding method and various manual thresholding level in order to identify the corrosion attack on the AZ91D magnesium alloy. This method converts the original colour image to grayscale image and then convert it to binary image. Then through image processing approach, the image will be segmented to non-corroded and corroded area and labelled as 0 (black) and 1 (white) and make it easier to analyze. The white dots (1) distribution was then presented in percentage to shows that the pitting corrosion on the surface can be identified better by using the Otsu’s method of automatic thresholding. The resulting image of various thresholding shows which thresholding values successfully portray similarity of the original corrosion image. Thus, this increases the reliability of AZ91D magnesium alloy corrosion detection and quantification via image processing approach.

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Experimental and finite element modeling of partial infill patterns for thermoplastic polymer extrusion 3D printed material using elasto-plastic method

2020-10-26 , Mohd Sabri Hussin , Sanusi Hamat , Syamir Alihan Showkat Ali , Muhammad Aiman Ahmad Fozi , Yuzairi Abdul Rahim , Mohd Syedi Imran Mohd Dawi , Darsin M.

Fused Deposition Modeling is known as one of the 3D printing technology where it used a thermoplastic filament to produce a prototype or a 3D part. FDM will print out the 3D part, layer by layer on the platform of the 3D printer from bottom to top using the extruded molten thermoplastic. However, there is no information about the volume enclosed by the boundary surface of the 3D part by commonly used model data format such as STL file, since the volume enclosed can be completely or partially filled. Therefore, the study and research have been carried out to investigate the strength of the 3D part affected by the design of the infill pattern where three methods being used which are design, experiment and simulation. The 3D parts were designed using CATIA V5 following the ASTM D638 for tensile test and ASTM D695 for compression test. The 3D design was then being printed using the Fused Deposition Modeling (FDM) technique for experimental purposes and to perform the quasi-static test. Furthermore, the 3D printed with infill pattern test data were then being imported to ABAQUS/Explicit software for non-linear finite element analysis using elasto-plastic approach. The best infill patterns that exhibit a better strength after the 100% fill part is the 30% fill Lines pattern. It can be concluded that the average percentage error of stress and strain values between experimental test and simulations in tensile and compression for all specimens is below than 10%.

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Enhancing Quality Control in Automotive Reconditioning : A Case Study of Carsome Certified Lab

2025-06-10 , Muhammad Naufal Aqil Bin Daud , Mohamad Suhaimi Shahrin , Muhammad Aiman Ahmad Fozi , Muhammad Lutfi Abd. Latif

This study examines quality control (QC) practices at Carsome Certified Lab (CCL), focusing on the reconditioning of pre-owned vehicles. Employing a mixed-methods approach, the research integrates analysis of internal QC records, interviews with CCL staff, and customer satisfaction surveys. Findings highlight significant inconsistencies, especially in aesthetic evaluations, with about 30% of vehicles requiring rework due to initially missed defects. Customer surveys indicate a high overall satisfaction rate (75%), yet 20% report dissatisfaction linked primarily to aesthetic issues. Statistical analysis reveals a strong correlation (p < 0.05) between the thoroughness of QC checks and customer satisfaction levels. The study advocates for more rigorous, standardized QC protocols and the adoption of advanced technologies (digital tools, artificial intelligence, imaging technologies, etc.) to improve evaluation precision and consistency. These enhancements are projected to boost customer satisfaction and operational efficiency, serving as a model for similar reconditioning facilities and contributing to industry-wide standards improvement.

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Design and structural analysis of 3D-printed modular furniture joints

2020-12-18 , Muhammad Aiman Ahmad Fozi , Sanusi Hamat , Mohd Haidiezul Jamal Ab Hadi , Cheong H.Y.

Modular furniture joint defined as a connection used to connect two or more wood pieces to produce furniture with multiple functions. Notofusy furniture joint made from plywood was less expensive. However, during the manufacturing process, it was occasionally caused tear-out of wood fibre. Therefore, this research has been carried out to investigate and compare the existing material and Fused Deposition Modelling (FDM) fabrication method on the designed modular furniture joint. Finite Element Analysis (FEA) of elasto-plastic method from ABAQUS CAE software and three-point bending test were used to evaluate the structural analysis of designed modular furniture joint. In this research, the final concept selected was able to withstand load up to 730 kg and it only weights 113.59 g. The long-term goal for this research was to evaluate the possibility of producing end products using FDM technology. It was found that FDM contributed to cost effective in low volume production. In this research, the material focused were Acrylonitrile Butadiene Styrene (ABS) and Polyethylene Terephthalate (PETG). However, future studies can be conducted to evaluate the possibility of using other 3D printing materials.

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New empirical formula for reduction factor of head garment

2017 , Muhammad Aiman Ahmad Fozi

Pressure garment is one of non-surgical method in pressure therapy treatment, which uses pressure as healing mechanism for hypertrophic scars caused from burn injuries. Previous studies proposed a fabrication method based on the modified Laplace`s Law to predict pressure outputs. From the Laplace`s Law, reduction factor is calculated using parameters of modulus elasticity of the fabric, body circumferences, and the targeted pressure. However, most of the previous studies conducted based on lower and upper limbs body parts (arms and legs) which consist more like cylindrical shapes with limited studies conducted for head segment. The aim of this study is to investigate the effectiveness of current methods used for pressure therapy treatment at facial area. Based on investigation and analysis from the current methods in terms of pressure performances, a new fabrication method of head garment is introduced which capable to produce optimum pressure needed for the treatment. This study uses digital design approaches such as 3D scanning, computer aided design and additive manufacturing in design and development phases. Based on the previous reduction factor equation from literature, the produced head garment was tight and not suitable for the treatment. Hence, a new head garment fabrication method is proposed based on empirical approach to determine the reduction factor at particular circumferences of the body parts.

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