Prof. Bahman ZareNezhad
Prof. Bahman ZareNezhad
Ministry of Science, Research and Technology
Verified email at - Homepage
Cited by
Cited by
Experimental investigation on the thermal performance of a coiled heat exchanger using a new hybrid nanofluid
HR Allahyar, F Hormozi, B ZareNezhad
Experimental thermal and fluid science 76, 324-329, 2016
A multi-layer feed forward neural network model for accurate prediction of flue gas sulfuric acid dew points in process industries
B ZareNezhad, A Aminian
Applied Thermal Engineering 30 (6-7), 692-696, 2010
Evaluation of different alternatives for increasing the reaction furnace temperature of Claus SRU by chemical equilibrium calculations
B ZareNezhad, N Hosseinpour
Applied Thermal Engineering 28 (7), 738-744, 2008
An experimental investigation on the effects of surfactants on the thermal performance of hybrid nanofluids in helical coil heat exchangers
F Hormozi, B ZareNezhad, HR Allahyar
International communications in heat and mass transfer 78, 271-276, 2016
An investigation on the most important influencing parameters regarding the selection of the proper catalysts for Claus SRU converters
B ZareNezhad
Journal of Industrial and Engineering Chemistry 15 (2), 143-147, 2009
Application of Peng–Rabinson equation of state for CO2 freezing prediction of hydrocarbon mixtures at cryogenic conditions of gas plants
B ZareNezhad, T Eggeman
Cryogenics 46 (12), 840-845, 2006
Accurate prediction of the dew points of acidic combustion gases by using an artificial neural network model
B ZareNezhad, A Aminian
Energy conversion and management 52 (2), 911-916, 2011
Wettability alteration in carbonate and sandstone rocks due to low salinity surfactant flooding
A Aminian, B ZareNezhad
Journal of Molecular Liquids 275, 265-280, 2019
Bimetallic-metal oxide nanoparticles of Pt-M (M: W, Mo, and V) supported on reduced graphene oxide (rGO): radiolytic synthesis and methanol oxidation electrocatalysis
S Kianfar, AN Golikand, B ZareNezhad
Journal of Nanostructure in Chemistry 11, 287-299, 2021
Accurate prediction of H2S and CO2 containing sour gas hydrates formation conditions considering hydrolytic and hydrogen bonding association effects
B ZareNezhad, M Ziaee
Fluid Phase Equilibria 356, 321-328, 2013
Accurate predicting the viscosity of biodiesels and blends using soft computing models
A Aminian, B ZareNezhad
Renewable Energy 120, 488-500, 2018
Synthesis, characterization and operation of a functionalized multi-walled CNT supported MnOx nanocatalyst for deep oxidative desulfurization of sour petroleum fractions
NM Meman, M Pourkhalil, A Rashidi, B ZareNezhad
Journal of Industrial and Engineering Chemistry 20 (6), 4054-4058, 2014
An extractive distillation technique for producing CO2 enriched injection gas in enhanced oil recovery (EOR) fields
B ZareNezhad, N Hosseinpour
Energy conversion and management 50 (6), 1491-1496, 2009
Application of palladium supported on functionalized MWNTs for oxidative desulfurization of naphtha
NM Meman, B ZareNezhad, A Rashidi, Z Hajjar, E Esmaeili
Journal of Industrial and Engineering Chemistry 22, 179-184, 2015
New correlation predicts flue gas sulfuric acid dewpoints
B ZareNezhad
Oil & gas journal 107 (35), 60-63, 2009
Accurate prediction of sour gas hydrate equilibrium dissociation conditions by using an adaptive neuro fuzzy inference system
B ZareNezhad, A Aminian
Energy conversion and management 57, 143-147, 2012
A rigorous mechanistic model for predicting gas hydrate formation kinetics: The case of CO2 recovery and sequestration
B ZareNezhad, M Mottahedin
Energy conversion and management 53 (1), 332-336, 2012
Development of a high efficient gas to hydrate (GTH) conversion process using SDS kinetic promoter for maximizing the CO2 recovery with minimum energy consumption
B ZareNezhad, V Montazeri
Energy conversion and management 79, 289-293, 2014
Prediction of CO2 freezing points for the mixtures of CO2-CH4 at cryogenic conditions of NGL extraction plants
B ZareNezhad
Korean Journal of Chemical Engineering 23, 827-831, 2006
Oil-detachment from the calcium carbonate surfaces via the actions of surfactant, nanoparticle and low salinity brine: an insight from molecular dynamic simulation
A Aminian, B ZareNezhad
Chemical Engineering Science 202, 373-382, 2019
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