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Dive into the research topics where Mohd Shukry Abdul Majid is active.

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Featured researches published by Mohd Shukry Abdul Majid.


Key Engineering Materials | 2013

General Lifetime Damage Model for Glass Fibre Reinforced Epoxy (GRE) Composite Pipes under Multiaxial Loading

Mohd Shukry Abdul Majid; Mohd Afendi; R. Daud; N.A.M. Amin; Azizul Mohamad; E.M. Cheng; A.G. Gibson; M. Hekman

This paper presents the modelling of a general lifetime performance for glass fibre reinforced epoxy (GRE) composite pipes similar to the well-known Tsai-Hill interactive failure criterion. Tsai Hill criterion is based on the Von Misses distortional energy criterion which was modified to satisfy the orthotropic nature of GRE composite pipes. The effects of stress developed in each ply from ultimate elastic wall stress (UEWS) test were expressed in a single quadratic term of axial and hoop stress through laminate theory. The term then solved to produce limits with respect to axial and hoop stress, which represented in a graphical form of failure envelope. The modelled envelop shows a good agreement with experimental data from the multiaxial UEWS test of ±55° GRE composite pipes. This indicates that such model can be used to predict the long-term performance of GRE pipes under combine loadings.


international colloquium on signal processing and its applications | 2009

Statistical time energy based damage detection in steel plates using artificial neural networks

M. P. Paulraj; Mohd Shukry Abdul Majid; Sazali Yaacob; Mohd Hafiz Fazalul Rahiman; R. Pranesh Krishnan

In this paper, a simple method for crack identification in steel plates based on statistical time energy is presented. A simple experimental procedure is also proposed to measure the vibration at different positions of a steel plate. The plate is excited by an impulse signal and made to vibrate; statistical features are then extracted from the vibration signals which are measured at different locations. These features are then used to develop a neural network model. A simple neural network model trained by back propagation algorithm is then developed based on the statistical time energy features to classify the damage location in a steel plate. The effectiveness of the system is validated through simulation.


Applied Mechanics and Materials | 2014

Ageing Effects on Burst Pressure Test of Impacted Glass Fibre Reinforcement Epoxy (GRE) Pipes.

A. Hawa; Mohd Shukry Abdul Majid; Mohd Afendi; M. Haslan; Krishnan Pranesh; N.A.M. Amin

The main objective of this experimental study is to investigate the effects of hydrothermal ageing on the pressure bearing capacity of the E-glass/epoxy composite pipes subjected to impact loadings. The pipes were produced by the conventional filament winding technique comprises of six antisymmetric layers with (±55°)3 winding angles. The pipes were immersed in tab water for period of 500, 1000, and 1500 hours. The specimens were impacted at three different energy levels; 5 J, 7.5 J, and 10 J using an instrumented drop weight impact testing machine (IMATEK IM10). The samples were then subjected to pressure test until distinct leakage failure is observed. The results indicates that peak force and contact time increase with increasing impact energy. The tests results show that the burst pressure decreases with increase in energy levels during impact loading. During the burst tests, several damage types named leakage and eruption were observed.


international conference on electronic design | 2008

Motorbike engine faults diagnosing system using neural network

M. P. Paulraj; Mohd Shukry Abdul Majid; Sazali Yaacob; Mohd Zubir Md Zin

Monitoring systems for motorbike industry requires high and efficient degree of performance. In recent years, automatic identification and diagnosis of motorbike engine faults has become a very complex and critical task. The noise produced by a motorbike engine is an important information source of fault diagnosis. Artificial Neural Network finds applications in many industries including condition monitoring and fault diagnosis. In this paper a simple feature extraction algorithm that extracts the features from the engine noise signal using discrete wavelet transform is presented. The engine noise signals are decomposed into 8 levels using Daubechies ldquodb4rdquo wavelet family. The eight level coefficients energy of approximated version and detailed version are computed and used as features. Three simple neural network models are developed and trained by conventional backpropagation algorithm for identifying the motorbike engine faults and the average classification rates are around 85%.


Applied Mechanics and Materials | 2014

Mathematical Modeling on Thermal Energy Storage Systems

N.A.M. Amin; Mohd Azizi Said; Azizul Mohamad; Mohd Shukry Abdul Majid; Mohd Afendi; R. Daud; Frank Bruno; Martin Belusko

Mathematical representations of the encapsulated phase change material (PCM) within thermal energy storage (TES) models are investigated. Applying the Effectiveness - Number of Transfer Unit (ɛ-NTU) method, the performances of these TES are presented in terms of the effectiveness considering the impact of different variable parameters. The mathematical formulations summarized can be used for future research work with the suggestion to maximize the heat transfer within the storage. Thus the optimisation on the configuration of the encapsulation can be done through a parametric analysis.


Applied Mechanics and Materials | 2013

Experimental Studies of a Ranque-Hilsch Vortex Tube

Azizul Mohamad; N.A.M. Amin; Zuradzman M. Razlan; Mohd Shukry Abdul Majid

Vortex tube is a device that separates a compressed flow of gas into two streams simultaneously, one giving kinetic energy to the other, resulting one hotter than the inlet temperature and one lower, without having any moving part. This research focuses on investigating the effects of various physical parameters on the performance of the vortex tube, namely cold nozzle diameter, length of the tube, and air mass flow rate at the hot end of the tube. In general, there are two major design features associated with the vortex tube, namely (a) maximum temperature differentials in vortex tube to produce small amount of air with very low and very high temperatures, and (b) maximum cooling/heating effect by producing large quantity of air with moderate temperatures. By considering the experimental results, an optimized set of parameters that contribute to the most efficient vortex tube design would be proposed depending on the desired design features.


Applied Mechanics and Materials | 2014

Review of Analysis on Vertical and Horizontal Axis Wind Turbines

Azizul Mohamad; N.A.M. Amin; Hong Tee Toh; Mohd Shukry Abdul Majid; R. Daud

Wind turbine is a device used to convert kinetic energy into electrical energy. Generally, wind turbine could be classified as horizontal axis and vertical axis wind turbine, depending on its axis of rotation. Two major factors affecting wind turbine performance are wind speed and aerodynamic design. While wind speed is depending on the location and weather, aerodynamic design of the wind turbine could be improved and optimized to enhance the wind turbine efficiency. This paper summarized few such design with particular attention on output power analysis as well as analysis tools development, for both type of wind turbine.


Applied Mechanics and Materials | 2014

Strength of Ductile Adhesive Butt Joint Bonded with Dissimilar Adherents: Effect of Surface Roughness

Nurul Atikah; Mohd Afendi; Siti Hirmaliza; Mohd Shukry Abdul Majid; Nurul Amira; Mohd Noor Mazlee

The purpose of this project is to study the influence of the macroscopic state of surface roughness of the dissimilar adherent on the strength of adhesive joint. In this project, several types of sandpaper were used to produce different surface roughness of stainless steel and aluminium alloy adherents. All bonding surfaces were polished with different types of sandpaper. Butt joints of dissimilar adherent specimen were produced using a ductile adhesive (i.e. Araldite® Standard) with same bond thickness. The specimens were tested under static loading condition using universal testing machine (UTM) to investigate the relationship of the surface roughness and bond strength.


Applied Mechanics and Materials | 2014

Stress analysis of adhesive bonding of urea granulator fluidization bed

Abu Nor Bakyah; Mohd Afendi; Mohd Shukry Abdul Majid; A.R. Abdullah; Abu Bakar Shahriman

Stress analysis of adhesive bonding of urea granulator fluidization bed was performed by using finite element method. The main objective of this project is to develop an alternative joining technique for urea granulator fluidizationbed by using adhesive bonding. The problem can solve by using commercial finite element package ANSYS version 13.0. T-joint and double T-joint are the main adhesive joints which will be focused in this project. The stresses on stainless steel plate can reduce by increasing the thickness of adhesive as demonstrated in numerical analysis results. Different thickness of adhesive will give different value of maximum von Mises stress. It shows that greater thickness resulted in higher maximum. This analysis proves that increasing the adhesive thickness will reduces the joint strength because stress was concentrated more on the adhesive interfaces. The adhesive bonding on T-joint is stronger than other design of joint because it need lower stress. It followed by first design of double T-joint and second design of double T-joint.


Applied Mechanics and Materials | 2014

Review of Photovoltaic/Thermal System Design and Heat Transfer Enhancement Methods

Azizul Mohamad; N.A.M. Amin; Wei Choon Chong; Mohd Shukry Abdul Majid; R. Daud

Solar energy is a viable renewable energy source, and photovoltaic technology has mature significantly in recent years. To maintain the operating efficiency of photovoltaic system, heat must be remove from its surface, thus lead to development of photovoltaic/thermal system. This paper identify several key design criteria as well as heat transfer enhancement methods that is currently existed, and some future work is proposed to optimize the system.

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Dive into the Mohd Shukry Abdul Majid's collaboration.

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Mohd Afendi

Universiti Malaysia Perlis

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N.A.M. Amin

Universiti Malaysia Perlis

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Azizul Mohamad

Universiti Malaysia Perlis

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R. Daud

Universiti Malaysia Perlis

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Sazali Yaacob

Universiti Malaysia Perlis

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M. P. Paulraj

Universiti Malaysia Perlis

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A.R. Abdullah

Universiti Malaysia Perlis

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Lean Thiam Siow

Universiti Malaysia Perlis

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