Mohd Noor Fakhzan Mohd Kazim
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/32997
2024-03-29T12:12:01ZA complete system modelling of piezoelectric energy harvester (PEH) with silicon carbide (SiC) used as cantilever base
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/40070
A complete system modelling of piezoelectric energy harvester (PEH) with silicon carbide (SiC) used as cantilever base
Mohd Noor Fakhzan, Mohd Kazim; Raman, Selvanayakan; Muhammad Hafiz, Shafie; Nashrul Fazli, Mohd Nasir, Dr.; Asan Gani, Abdul Muthalif, Dr.
Silicon carbide (SiC) is a material that possesses hardness and robustness to operate under high temperature condition. This work is a pilot in exploring the feasibility of cubic piezo element on the SiC wafer with integrated proof mass as horizontal cantilever with perpendicular displacement with respect to the normal plane. With the advance of electronic circuitry, the POWER consumption is reduced to nano-watts. Therefore, harvesting ambient energy and converting into electrical energy through piezoelectric material will be useful for powering low power devices. Resonance is a property which able to optimize the generated output power by tuning the proof masses. The damping ratio is a considerable parameter for optimization. From analytical study, small damping ratio will enhance the output power of the piezoelectric energy harvester (PEH). This paper will present mathematical modelling approach, simulation verification and the conditional circuit named versatile precision full wave rectifier.
Link to publisher's homepage at http://www.penerbit.utm.my/
2014-01-01T00:00:00ZA 3D gluing defect inspection system using shape-based matching application from two cameras
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/35581
A 3D gluing defect inspection system using shape-based matching application from two cameras
Marizan, Sulaiman, Engr. Prof. Dr.; Hairol Nizam, Mohd Shah; Mohamad Haniff, Harun; Lim, Wee Teck; Mohd Noor Fakhzan, Mohd Kazim
This research is regarding the application of a vision algorithm to identify the operations of a system in order to control the decision making concerning jobs and work pieces recognition that are to be made during system operation in real time. These paper stresses on the vision algorithm used which mainly focus on the shape matching properties to identify defects occur on the product. A new supervised defect detection approach to detect a class of defects in gluing application is proposed. Creating of region of interest in important region of object is discussed. Gaussian smoothing features in determining better image processing and template matching in differentiates between reference and tested image are proposed. This scheme provides high computational savings and results in high defect detection recognition rate. The defects are broadly classified into three classes: 1) gap defect; 2) bumper defect; 3) bubble defect. The defects occur provides with information of height (z-coordinate), length (y-coordinate) and width (xcoordinate). This information gathered from the proposed two camera vision system for conducting 3D transformation. Information gathers used in new correction technique known as Correction of Defect (CoD) where rejected object will be altered to reduce rejected object produced from the system.
Link to publisher's homepage at http://www.praiseworthyprize.org/
2013-01-01T00:00:00ZStructural steel plate damage detection using non destructive testing, frame energy based statistical features and artificial neural networks
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/34878
Structural steel plate damage detection using non destructive testing, frame energy based statistical features and artificial neural networks
Pandiyan, Paulraj Murugesa , Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Shukry, Abdul Majid, Dr.; Mohd Nor Fakhzan, Mohd Kazim; Krishnan, Pranesh
This paper discusses about the detection of damages present in the steel plates using nondestructive vibration testing. A simple experimental model has been developed to hold the steel plate complying with the simply supported boundary condition. Vibration patterns from the steel structure are captured based on the impact testing using a simple protocol. The vibration signals in normal condition of the steel plate are recorded. The damages of size 512 μ m to 1852 μ m are simulated manually on the steel plate using drill bits. The vibration signals in the fault condition of the steel plate are collected. The captured vibration signals are preprocessed and time domain based feature extraction algorithms are developed to extract features from the vibration signals. The conditions of the steel plate namely healthy and faulty are associated with the extracted features to establish input output mapping. A feed-forward neural network is modeled to classify the condition. The neural network parameters are adjusted to train the network. The performance of the network is calculated using Falhman criterion.
Link to publisher's homepage at http://www.elsevier.com/
2013-01-01T00:00:00ZVibration based energy harvesting using piezoelectric material
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/33475
Vibration based energy harvesting using piezoelectric material
Mohd Noor Fakhzan, Mohd Kazim; Muthalif, Asan G.A
Energy harvesting has been around for centuries in the
form of windmills, watermills and passive solar power systems. It
is not only restricted to the natural resources but it has widen the
tapping source to utilise the vibration which happen all around
us. In the last decade, beam with piezoceramic patches have been
used as a method to harverst energy. An energy harvester system
modelled in this paper consist of unimorph piezoelectic cantilever
beam with a tip mass. It generates electric current or voltage
from the piezoelectric strain effect due to base excitation. This
paper is aimed at developing a mathematical model of unimorph
cantilever beam with piezoelectric harvester by using Euler–
Bernoulli beam theory. The step by step analytical solution and
the simulation result are shown in the form of voltage around the
natural frequencies.
2002 IEEE International Conference on Automation, Robotics, Control and Vision (ICARCV).
2011-01-01T00:00:00Z