Md. Tasyrif bin Abdul Rahman
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Preferred name
Md. Tasyrif bin Abdul Rahman
Official Name
Md. Tasyrif, Abdul Rahman
Alternative Name
Abdul Rahman, Md Tasyrif
Rahman, M. D.Tasyrif Abdul
Main Affiliation
Scopus Author ID
36656452500
Researcher ID
FSF-6142-2022

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  • Publication
    Thermal and Static Properties Investigation of Different Intake Manifold Materials to Lower Air Intake Temperature for Improved Engine Performance
    ( 2023-04-01)
    Halim S.S.
    ;
    Md. Tasyrif bin Abdul Rahman
    ;
    Abdul Hamid Adom
    ;
    Mohd Al-Hafiz Mohd Nawi
    ;
    Mohd Ridzuan Mohd Jamir
    ;
    Suhaimi Illias
    Formula SAE competition is targeted at students who are interested in designing and developing a Formula-type race car. Rules were imposed to restrict the car’s performance for safety besides encouraging problem-solving skills. One such rule is the requirement of a 20mm restrictor inserted between the carburettor and intake manifold to reduce the air intake. With a constricted airflow creating a bottleneck effect, less air will be provided to the engine for combustion, consequently reducing engine efficiency. The purpose of this project is to overcome this problem despite the restriction imposed by the rules. This is done by choosing an intake manifold material that provides a low air temperature while withstanding the stress and vibrations from the engine. Computational Fluid Dynamics (CFD) software was used to conduct the static, thermal and modal analysis of Aluminium Alloy 6063, Gray Cast Iron, Fibreglass Epoxy and Carbon Fibre Epoxy to choose the material that produces lower intake air temperature while maintaining high strength. Carbon fibre epoxy was found to provide the best durability against static stress while maintaining a lower intake air temperature compared to the other materials tested.
      2
  • Publication
    Connected car: Engines diagnostic via Internet of Things (IoT)
    ( 2017-10-29)
    Azrul Fahmi A.Hamid
    ;
    Md. Tasyrif bin Abdul Rahman
    ;
    Shah Fenner Khan Mohamad Khan
    ;
    Abdul Hamid Adom
    ;
    Muhajir Ab. Rahim
    ;
    Norasmadi Abdul Rahim
    ;
    Ismail M.H.N.
    ;
    Norizan A.
    This paper is about an experiment for performing engines diagnostic using wireless sensing Internet of Thing (IoT). The study is to overcome problem of current standard On Board Diagnosis (OBD-II) data acquisition method that only can be perform in offline or wired method. From this paper it show a method to determined how the data from engines can be collected, make the data can be easily understand by human and sending data over the wireless internet connection via platform of IOT. This study is separate into three stages that is CAN-bus data collection, CAN data conversion and send data to cloud storage. Every stage is experimented with a two different method and consist five data parameter that is Revolution per Minute (RPM), Manifold Air Pressure (MAP), load-fuel, barometric pressure and engine temperature. The experiment use Arduino Uno as microcontroller, CAN-bus converter and ESP8266 wifi board as transfer medium for data to internet.
      8  39
  • Publication
    Design and static structural analysis of a race car chassis for Formula Society of Automotive Engineers (FSAE) event
    (IOP Publishing, 2017-10-29)
    M. L. Mohamad
    ;
    Md. Tasyrif bin Abdul Rahman
    ;
    Shah Fenner Khan Mohamad Khan
    ;
    Mohd Hafif Basha Mohamad Jamel Basha
    ;
    Abdul Hamid Adom
    ;
    Mohd Sani Mohamad Hashim
    The main purpose of this study is to make improvement for the UniMAP Automotive Racing Team car chassis which has several problems associated with the chassis must be fixed and some changes are needed to be made in order to perform well. This study involves the process of designing three chassis that are created based on the rules stated by FSAE rules book (2017/2018). The three chassis will undergo analysis test that consists of five tests which are main roll hoop test, front roll hoop test, static shear, side impact, static torsional loading and finally one of them will be selected as the best design in term of Von Mises Stress and torsional displacement. From the results obtained, the new selected chassis design which also declared as the new improved design poses the weight of 27.66 kg which was decreased by 16.7% from the existing chassis (32.77 kg). The torsional rigidity of the improved chassis increased by 37.74%.
      6  12