Nur Saifullah Kamarrudin
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Preferred name
Nur Saifullah Kamarrudin
Official Name
Nur Saifullah, Kamarrudin
Alternative Name
Kamarrudin, Nur Saifullah
Kamaruddin, N. S.
Kamarrudin, Nur Saifullah
Kamarrudin, N. S.
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Scopus Author ID
56010115700
Researcher ID
HTS-3390-2023

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  • Publication
    Mesh refinement for cortical and trabecular bone finite element modeling: A review
    ( 2020-12-22)
    Mohd Zain, Noor Alia
    ;
    Ruslizam Daud
    ;
    Nur Saifullah Kamarrudin
    ;
    Khairel Rafezi Ahmad
    ;
    Nurul Huda A.A
    For centuries, the finite element (FE) method has been extensively used to predict the fracture performance and various method has been implemented to yield accurate results especially in healthcare industries. Bone fracture has been a critical problem since it interrupts the strength and structure of human bone. Thus, this problem will lead to bone malfunction and cause excess bleeding of surround tissues. Human bone consists of cortical and trabecular bone which serve a different amount of load sustainability before the fracture occurred. One of the most vital problems arise is the inaccuracy of the stress intensity factor related to the bone fracture. Recent studies have proven that with the implementation of appropriate meshing element produce higher accuracy results especially with the implementation of mesh refinement in the finite element model. The singularity elements suggested by Barsoum (1976) has proven that the quarter-point triangular elements give highly accurate results. Several methods for stress intensity factor calculation has been implemented by various past researchers. Among all the methods used, J-integral has proven to be the most accurate method compared to the others.The first section in your paper.
      7  31
  • Publication
    Design optimization of exhaust manifold's bending radius for Spark Ignition (SI) engine whrough CFD analysis on low end RPM 8sing Taguchi's method
    ( 2021-05-03)
    Murali R.
    ;
    Shahriman Abu Bakar
    ;
    Zuradzman Mohamad Razlan
    ;
    Nur Saifullah Kamarrudin
    ;
    Aziz I.A.
    ;
    Wan Khairunizam Wan Ahmad
    ;
    Ma'arof M.I.N.
    ;
    Bo L.L.
    ;
    Hassan M.A.S.
    Backpressure is considered as an obstruction on the flow of exhaust for any internal combustion (IC) engine. The level of backpressure can affect the amount of emissions and fuel consumption and the performance of the engine. Hence, the backpressure is considered a bad factor for an engine. Even though backpressure could not be eliminated completely, it could be minimized through design optimization of exhaust system. This paper shows the effects of exhaust manifold's bending radius of 115 cc spark ignition (SI) engine on low-end RPM. The aim of this study was to optimize the bending radius of exhaust manifold in order to minimize backpressure. CFD analysis was conducted to predict the backpressure of exhaust manifold samples based on design of experiment (DOE) through Taguchi's method. From the analysis result, it is observed that bending radius which is towards the outlet is the most contributing factor to the backpressure and the optimized exhaust manifold reduces backpressure by 10.5% from the existing design. The finding shows that the optimized design offers lower backpressure which could significantly reduce negative impacts to the engine's performance.
      2  25