Mohammadjavad Zeinali
Mohammadjavad Zeinali
Bernal Institute, University of Limerick
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A review of design and modeling of magnetorheological valve
AY Abd Fatah, SA Mazlan, T Koga, H Zamzuri, M Zeinali, F Imaduddin
International Journal of Modern Physics B 29 (04), 1530004, 2015
Prediction of multiphase flow pattern inside a 3D bubble column reactor using a combination of CFD and ANFIS
M Pourtousi, M Zeinali, P Ganesan, JN Sahu
RSC Advances 5 (104), 85652-85672, 2015
Adaptive-network-based fuzzy inference system analysis to predict the temperature and flow fields in a lid-driven cavity
CSN Azwadi, M Zeinali, A Safdari, A Kazemi
Numerical Heat Transfer, Part A: Applications 63 (12), 906-920, 2013
A phenomenological dynamic model of a magnetorheological damper using a neuro-fuzzy system
M Zeinali, SA Mazlan, AY Abd Fatah, H Zamzuri
Smart Materials and Structures 22 (12), 125013, 2013
Influence of piston and magnetic coils on the field-dependent damping performance of a mixed-mode magnetorheological damper
M Zeinali, SA Mazlan, SB Choi, F Imaduddin, LH Hamdan
Smart Materials and Structures 25 (5), 055010, 2016
Experiments and modeling of a new magnetorheological cell under combination of flow and shear-flow modes
MJ Mughni, M Zeinali, SA Mazlan, H Zamzuri, MAA Rahman
Journal of Non-Newtonian Fluid Mechanics 215, 70-79, 2015
Neuro-fuzzy predictive model for surface roughness and cutting force of machined Al–20 Mg 2 Si–2Cu metal matrix composite using additives
M Marani, V Songmene, M Zeinali, J Kouam, Y Zedan
Neural Computing and Applications 32 (12), 8115-8126, 2020
Fuzzy PID controller simulation for a quarter-car semi-active suspension system using Magnetorheological damper
M Zeinali, IZM Darus
2012 IEEE Conference on Control, Systems & Industrial Informatics (ICCSII …, 2012
Prediction of cutting tool wear during a turning process using artificial intelligence techniques
M Marani, M Zeinali, J Kouam, V Songmene, CK Mechefske
The International Journal of Advanced Manufacturing Technology 111 (1), 505-515, 2020
Influence of fuzzy-PID controller on semi-active suspension system performance using magnetorheological damper fuzzy model
M Zeinali, SA Mazlan, MA Abdul Rahman
Applied Mechanics and Materials 663, 243-247, 2014
A GA-weighted adaptive neuro-fuzzy model to predict the behaviour of magnetorheological damper
M Zeinali, SA Mazlan, AY Abd Fatah, H Zamzuri
Applied Mechanics and Materials 663, 203-207, 2014
Tool wear prediction in high-speed turning of a steel alloy using long short-term memory modelling
M Marani, M Zeinali, V Songmene, CK Mechefske
Measurement 177, 109329, 2021
Design and Optimization of Innovative Magnetorheological Damper with Low Temperature
M Zeinali
Universiti Teknologi Malaysia, 2015
Neuro-fuzzy based predictive model for cutting force in CNC turning process of Al–Si–Cu cast alloy using modifier elements
M Marani, M Zeinali, S Farahany, CK Mechefske
SN Applied Sciences 3 (1), 1-11, 2021
Magnetorheological Fluid Characterization and Applications
M Zeinali, SA Mazlan, F Imaduddin, AYA Fatah, MJ Mughni, LH Hamdan, ...
Reference Module in Materials Science and Materials Engineering, 2014
Intelligent robust controller for semi active suspension system
M Zeinali
Universiti Teknologi Malaysia, 2012
Effect of front double wishbone strut position on vehicle steering and suspension performance
M Zeinali, IZM Darus, AH Taghavi
2012 IEEE Conference on Control, Systems & Industrial Informatics (ICCSII …, 2012
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