Asan Muthalif

Dr. Asan Muthalif

orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

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

Representative Publications

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1 March 2015 in Mechanical Systems and Signal Processing
Verified
Journal Article
Closed access
AMAsan Muthalif
Asan Muthalif
NNN.H. Diyana Nordin
N.H. Diyana Nordin

1 February 2013 in Mechatronics
Verified
Journal Article
Closed access
MFM.N. Fakhzan
M.N. Fakhzan
AMAsan Muthalif
Asan Muthalif

1 January 2012 in Procedia Engineering
Verified
Journal Article
Open access
BKBanna Kasemi
Banna Kasemi
AMAsan Muthalif
Asan Muthalif
MRMUHAMMAD MAHBUBUR RASHID
MUHAMMAD MAHBUBUR RASHID
SFSharmila Fathima
Sharmila Fathima

1 January 2012 in Procedia Engineering
Verified
Journal Article
Open access
BIBabul Salam KSM Kader Ibrahim
Babul Salam KSM Kader Ibrahim
MAM.A.N. Aziah
M.A.N. Aziah
SAS. Ahmad
S. Ahmad
RARini Akmeliawati
Rini Akmeliawati
HNH.M.I. Nizam
H.M.I. Nizam
Mohd Khair HassanMohd Khair Hassan
Mohd Khair Hassan
Vehicles are the people's main means of transportation and thermal comfort in the vehicle cabin plays an important role. The heating, ventilating, and air-conditioning (HVAC) operation system in the vehicle cabin decides the degree of comfort, traffic safety as well as health of the occupants. The challenge of designing the HVAC control is to automatically achieve the thermal comfort, regardless of time varying weather conditions. Since most HVAC systems are complex with nonlinearity, distributed parameters, and multivariable therefore many classical controls do not necessarily yield a satisfactory control performance. This paper presents the development of temperature and humidity control strategy for HVAC based on Fuzzy Logic Control (FLC). The goal of the FLC-based temperature control is to satisfy the convergence and equilibrium property. The simulation test results have been shown a satisfactory to control the temperature and humidity

6 October 2022 in Polymers
Verified
Journal Article
Open access
PDF file
ASAyman Salem
Ayman Salem
AAAbdelrahman Ali
Abdelrahman Ali
RRRahizar Ramli
Rahizar Ramli
AMAsan Muthalif
Asan Muthalif
SJSabariah Binti Julai
Sabariah Binti Julai
Magnetorheological elastomers (MREs) are smart viscoelastic materials in which their physical properties can be altered when subjected to a varying magnetic field strength. MREs consist of an elastomeric matrix mixed with magnetic particles, typically carbonyl iron particles (CIPs). The magnetic field-responsive property of MREs have led to their wide exposure in research. The potential development and commercialization of MRE-based devices requires extensive investigation to identify the essential factors that can affect their properties. For this reason, this research aims to investigate the impact of CIPs’ type, concentration and coating on the rheological and mechanical properties of MREs. Isotropic MREs are fabricated with four different CIP compositions differing between hard or soft, and coated or uncoated samples. Each MRE composition have three different concentrations, which is 5%, 10%, and 20% by volume. The dynamic properties of the fabricated samples are tested by compression oscillations on a dynamic mechanical analyzer (DMA). Frequency and strain dependent measurements are performed to obtain the storage and loss modulus under different excitation frequencies and strain amplitudes. The emphasis is on the magnetorheological (MR) effect and the Payne effect which are an intrinsic characteristics of MREs. The effect of the CIPs’ type, coating, and concentration on the MR and Payne effect of MREs are elucidated. Overall, it is observed that, the storage and loss modulus exhibit a strong dependence on both the frequency excitations and the strain amplitudes. Samples with hard and coated CIPs tend to have a higher MR effect than other samples. A decrease in the storage modulus and non-monotonous behavior of the loss modulus with increasing strain amplitude are observed, indicating the Payne effect. The results of this study can aid in the characterization of MREs and the proper selection of CIPs grades based on the application.

13 January 2015 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
TSTanveer Saleh
Tanveer Saleh
ARAous Naji Rasheed
Aous Naji Rasheed
AMAsan Muthalif
Asan Muthalif