Md. Tasyrif bin Abdul Rahman
Thumbnail Image
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

Research Output

Filters

6 1
2 2
6
Reset filters

Settings
Now showing 1 - 6 of 6
Thumbnail Image
Publication

Fatigue life investigation of UIC 54 rail profile for high speed rail

2017-10-29 , Gurubaran Panerselvan , Mohd Afendi Rojan , Nur Fareisha M. A. , Mohd Shukry Abdul Majid , Haftirman I. , Md. Tasyrif bin Abdul Rahman

This study is to investigate the fatigue life of high speed rail in Malaysia. This paper describes about the experimental and simulation analysis investigation on fatigue life of rail profile UIC 54 using bulk specimen according to ASTM E 466-15 standard. The Fatigue life testing was performed in the fatigue testing machine (Instron 8800) 100 kN. Meanwhile, the fatigue life analysis was performed in ANSYS Workbench 14.5. Furthermore, the stress levels for experimental testing were applied as 16.7%, 25%, 35%, 50%, 58.3%, 66.77% and 75% with machine frequency of 20 Hz. Apart from that, the total fatigue life cycles for rail profile UIC 54 were acquired from both experimental and simulation. The fatigue life S-N curves were plotted and validated with the results of the simulation analysis with experimental results.

View
Thumbnail Image
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.

View
Thumbnail Image
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.

View
Thumbnail Image
Publication

A comparative study on interior acoustic comfort level of compact cars using data mining approach

2020-01-01 , Azuddin K.A. , Ahmad Kadri Junoh , Mohamed Z. , Md. Tasyrif bin Abdul Rahman

Vehicle acoustic comfort is one of the ergonomic measurement criteria that are essential for car occupants. Furthermore, interior cabin noise of a car may affect the driver's concentration when driving. This study is to investigate the noise comfort level of car interior on several compact cars. The objective is to measure interior cabin noise for all three cars and then to compare their acoustic comfort level using subfield data mining approach. A deduction was made to rate the best car among the three in term of acoustic comfort. The interior cabin noise was obtained for the cases where engine speed is varied while the cars are in stationary and moving condition. The noise was assessed according to pre-determined subjective and objective criteria. The sound quality parameters was assessed by regression analysis. In subjective assessment, the recorded noise was evaluated based on jury assessment. Then, the data mining approach was implemented to illustrate the noise level. The collected noise data were divided into five clusters through hierarchical clustering method. To assess the accuracy of noise data clusters, the method of k-nearest neighbours was performed and the results show a high accuracy rate (> 95%). Finally, the interior noise of the three cars was compared by using the analysis of variation. The vehicle acoustic comfort index was produced for the three cars tested in this study. In addition, the acoustic quality among the three cars is presented using anova. Annoyance index of the three cars was generated using data mining method. From the results, Axia car model has the best acoustic comfort compared to the other two cars by objective evaluation. By subjective evaluation, Axia car model recorded the lowest level of annoyance.

View
Thumbnail Image
Publication

Study of intake manifold for Universiti Malaysia Perlis automotive racing team formula student race car

2017-10-29 , Norizan A. , Md. Tasyrif bin Abdul Rahman , Nasrul Amri Mohd Amin , Mohd Hafif Basha Mohamad Jamel Basha , Ismail M.H.N. , Azarul Fahmin Ab Hamid

This paper describes the design differences between the intake manifold and restrictor used in racing cars that participate in the Formula Student (FSAE) competition. To fulfil the criteria of rules and regulation of the race, each race car must have a restriction device that has a maximum diameter of 20 mm installed between the throttle body and intake manifold. To overcome these problems, a restrictor has been designed and analysed using the steady state analysis, to reduce the loss of pressure in the restrictor. Design of the restrictor has a fixed parameter of the maximum diameter of 20mm. There are some differences that have been taken to make the comparison between the design of the restrictor, the diameter of the inlet and outlet, the curvature of the surface, convergence and divergence angle and length of the restrictor. Intake manifold was designed based on the design of the chassis, which shall not exceed the envelope defined by the FSAE competition. A good intake manifold design will affect the performance of the engine. Each design have made an analysis designed to ensure that each cylinder engine gets its air evenly. To verify the design, steady state analysis was made for a total mass flow rate and the velocity of air leaving a runner in each engine. Data such as the engine MAP reading was recorded by using Haltech ECU Management Software as reference purposes.

View
Thumbnail Image
Publication

Supervised segmentation on fusarium macroconidia spore in microscopic images via analytical approaches

2024-04-01 , Azuddin K.A. , Ahmad Kadri Junoh , Ammar Zakaria , Md. Tasyrif bin Abdul Rahman , Nor N.M.I.M. , Nishizaki H. , Latiffah Z. , Azuddin N.F. , Abdullah M.Z. , Terna T.P.

Fungi are one of the major causes that contributed to plant diseases. There are lots of fungi species but it is estimated that only 10% have been described. There are two major approaches to identifying fungi species, morphological identification, and molecular test which need cautious clarification to make good interpretations and are time-consuming. In this paper, we propose a Machine Learning approach that involves the use of the K-Means clustering technique, and Decision Tree to highlight the observed fungi spore images taken under the microscopic view and discard background pixels to produce digital images database which later can be used for Deep Learning.

View