Faizal Mustapha

Dr. Faizal Mustapha

orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 March 2011 in Materials & Design (1980-2015)
Verified
Journal Article
Closed access
AJAli Jahan
Ali Jahan
FMFaizal Mustapha
Faizal Mustapha
YIYusof Ismail
Yusof Ismail
Mohd Sapuan SalitMohd Sapuan Salit
Mohd Sapuan Salit
MBMarjan Bahraminasab
Marjan Bahraminasab

1 February 2010 in Materials & Design (1980-2015)
Verified
Journal Article
Closed access
AJAli Jahan
Ali Jahan
MIM.Y. Ismail
M.Y. Ismail
Mohd Sapuan SalitMohd Sapuan Salit
Mohd Sapuan Salit
FMFaizal Mustapha
Faizal Mustapha

10 May 2011 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
AJAli Jahan
Ali Jahan
FMFaizal Mustapha
Faizal Mustapha
Mohd Sapuan SalitMohd Sapuan Salit
Mohd Sapuan Salit
YIYusof Ismail
Yusof Ismail
MBMarjan Bahraminasab
Marjan Bahraminasab

17 December 2018 in Sensors
Verified
Journal Article
Open access
PDF file
AGAIDIN GHAVAMIAN
AIDIN GHAVAMIAN
FMFaizal Mustapha
Faizal Mustapha
BBB T Hang Tuah Baharudin
B T Hang Tuah Baharudin
NOORFAIZAL YIDRISNOORFAIZAL YIDRIS
NOORFAIZAL YIDRIS
This paper aims to provide an overview of the experimental and simulation works focused on the detection, localisation and assessment of various defects in pipes by applying fast-screening guided ultrasonic wave techniques that have been used in the oil and gas industries over the past 20 years. Major emphasis is placed on limitations, capabilities, defect detection in coated buried pipes under pressure and corrosion monitoring using different commercial guided wave (GW) systems, approaches to simulation techniques such as the finite element method (FEM), wave mode selection, excitation and collection, GW attenuation, signal processing and different types of GW transducers. The effects of defect parameters on reflection coefficients are also discussed in terms of different simulation studies and experimental verifications.

1 July 2013 in Engineering Failure Analysis
Verified
Journal Article
Closed access
ZJZ.A. Jassim
Z.A. Jassim
NAN.N. Ali
N.N. Ali
FMFaizal Mustapha
Faizal Mustapha
NJN.A. Abdul Jalil
N.A. Abdul Jalil

24 May 2022 in Polymers
Verified
Journal Article
Open access
PDF file
Mohd Nazri AhmadMohd Nazri Ahmad
Mohd Nazri Ahmad
MIM.R. Ishak
M.R. Ishak
M. T. MasturaM. T. Mastura
M. T. Mastura
FMFaizal Mustapha
Faizal Mustapha
ZLZulkiflle Leman
Zulkiflle Leman
IHWAN GHAZALIIHWAN GHAZALI
IHWAN GHAZALI
Fused Deposition Modeling (FDM) is capable of producing complicated geometries and a variety of thermoplastic or composite products. Thus, it is critical to carry out the relationship between the process parameters, the finished part’s quality, and the part’s mechanical performance. In this study, the optimum printing parameters of FDM using oil palm fiber reinforced thermoplastic composites were investigated. The layer thickness, orientation, infill density, and printing speed were selected as optimization parameters. The mechanical properties of printed specimens were examined using tensile and flexural tests. The experiments were designed using a Taguchi experimental design using a L9 orthogonal array with four factors, and three levels. Analysis of variance (ANOVA) was used to determine the significant parameter or factor that influences the responses, including tensile strength, Young’s modulus, and flexural strength. The fractured surface of printed parts was investigate using scanning electron microscopy (SEM). The results show the tensile strength of the printed specimens ranged from 0.95 to 35.38 MPa, the Young’s modulus from 0.11 to 1.88 GPa, and the flexural strength from 2.50 to 31.98 MPa. In addition, build orientation had the largest influence on tensile strength, Young’s modulus, and flexural strength. The optimum printing parameter for FDM using oil palm fiber composite was 0.4 mm layer thickness, flat (0 degree) of orientation, 50% infill density, and 10 mm/s printing speed. The results of SEM images demonstrate that the number of voids seems to be much bigger when the layer thickness is increased, and the flat orientation has a considerable influence on the bead structure becoming tougher. In a nutshell, these findings will be a valuable 3D printing dataset for other researchers who utilize this material.