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 - 3 of 3
  • Publication
    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.
      4  6
  • Publication
    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%.
      1
  • 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.
      1