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mohammad reza razfar
mohammad reza razfar
Professor of Mechanical Enginearing, Amirkabir University of technology
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Title
Cited by
Cited by
Year
Simulation of three-dimension cutting force and tool deflection in the end milling operation based on finite element method
RJ Saffar, MR Razfar, O Zarei, E Ghassemieh
Simulation Modelling Practice and Theory 16 (10), 1677-1688, 2008
1322008
Numerical investigating the effect of machining parameters on residual stresses in orthogonal cutting
M Mohammadpour, MR Razfar, RJ Saffar
Simulation modelling practice and theory 18 (3), 378-389, 2010
1282010
Optimization of multi-pass face-milling via harmony search algorithm
O Zarei, M Fesanghary, B Farshi, RJ Saffar, MR Razfar
Journal of materials processing technology 209 (5), 2386-2392, 2009
1232009
An experimental study on the effect of magnetic field orientations and electrolyte concentrations on ECDM milling performance of glass
M Hajian, MR Razfar, S Movahed
Precision Engineering 45, 322-331, 2016
942016
Experimental study of the tool wear during the electrochemical discharge machining
A Behroozfar, MR Razfar
Materials and Manufacturing Processes 31 (5), 574-580, 2016
922016
Investigating the effect of mixed alkaline electrolyte (NaOH+ KOH) on the improvement of machining efficiency in 2D electrochemical discharge machining (ECDM)
N Sabahi, MR Razfar
The International Journal of Advanced Manufacturing Technology 95, 643-657, 2018
912018
Optimum surface roughness prediction in face milling by using neural network and harmony search algorithm
MR Razfar, R Farshbaf Zinati, M Haghshenas
The International Journal of Advanced Manufacturing Technology 52, 487-495, 2011
882011
Effect of ultrasonic vibration on the single discharge of electrochemical discharge machining
S Elhami, MR Razfar
Materials and Manufacturing Processes 33 (4), 444-451, 2018
832018
Experimental investigation of surfactant-mixed electrolyte into electrochemical discharge machining (ECDM) process
N Sabahi, MR Razfar, M Hajian
Journal of Materials Processing Technology 250, 190-202, 2017
752017
The selection of milling parameters by the PSO-based neural network modeling method
M Farahnakian, MR Razfar, M Moghri, M Asadnia
The International Journal of Advanced Manufacturing Technology 57, 49-60, 2011
742011
Analytical and experimental study on the integration of ultrasonically vibrated tool into the micro electro-chemical discharge drilling
S Elhami, MR Razfar
Precision Engineering 47, 424-433, 2017
722017
Study of the effects of tool longitudinal oscillation on the machining speed of electrochemical discharge drilling of glass
MR Razfar, A Behroozfar, J Ni
Precision Engineering 38 (4), 885-892, 2014
682014
Study of the current signal and material removal during ultrasonic-assisted electrochemical discharge machining
S Elhami, MR Razfar
The International Journal of Advanced Manufacturing Technology 92, 1591-1599, 2017
662017
Influence of ultrasonic vibrations on side milling of AISI 420 stainless steel
MM Abootorabi Zarchi, MR Razfar, A Abdullah
The International Journal of Advanced Manufacturing Technology 66, 83-89, 2013
652013
Investigation of the effect of cutting speed and vibration amplitude on cutting forces in ultrasonic-assisted milling
MM Abootorabi Zarchi, MR Razfar, A Abdullah
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2012
622012
Analytical, numerical and experimental study of cutting force during thermally enhanced ultrasonic assisted milling of hardened AISI 4140
S Elhami, MR Razfar, M Farahnakian
International Journal of Mechanical Sciences 103, 158-171, 2015
562015
Experimental investigation of the surface roughness in ultrasonic-assisted milling
MR Razfar, P Sarvi, MMA Zarchi
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2011
562011
Optimum damage and surface roughness prediction in end milling glass fibre-reinforced plastics, using neural network and genetic algorithm
MR Razfar, MRZ Zadeh
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2009
562009
Optimization of machining parameters to minimize tool deflection in the end milling operation using genetic algorithm
RJ Saffar, MR Razfar, AH Salimi, MM Khani
World Applied Sciences Journal 6 (1), 64-69, 2009
532009
Experimental study on the heat-affected zone of glass substrate machined by electrochemical discharge machining (ECDM) process
N Sabahi, M Hajian, MR Razfar
The International Journal of Advanced Manufacturing Technology 97, 1557-1564, 2018
512018
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