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Hadi Taghavifar
Hadi Taghavifar
UiT Norges Arktiske Universitet
在 uit.no 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
Experimental and numerical consideration of the effect of CeO2 nanoparticles on diesel engine performance and exhaust emission with the aid of artificial neural network
HS Saraee, H Taghavifar, S Jafarmadar
Applied Thermal Engineering 113, 663-672, 2017
1292017
Reduction of emissions and fuel consumption in a compression ignition engine using nanoparticles
H Soukht Saraee, S Jafarmadar, H Taghavifar, SJ Ashrafi
International journal of environmental science and technology 12, 2245-2252, 2015
1012015
Thermo-economical consideration of Regenerative organic Rankine cycle coupling with the absorption chiller systems incorporated in the trigeneration system
S Anvari, H Taghavifar, A Parvishi
Energy Conversion and Management 148, 317-329, 2017
902017
Diesel engine spray characteristics prediction with hybridized artificial neural network optimized by genetic algorithm
H Taghavifar, S Khalilarya, S Jafarmadar
Energy 71, 656-664, 2014
822014
Appraisal of artificial neural networks to the emission analysis and prediction of CO2, soot, and NOx of n-heptane fueled engine
H Taghavifar, H Taghavifar, A Mardani, A Mohebbi, S Khalilarya, ...
Journal of cleaner production 112, 1729-1739, 2016
772016
4E analysis of a modified multigeneration system designed for power, heating/cooling, and water desalination
S Anvari, O Mahian, H Taghavifar, S Wongwises, U Desideri
Applied energy 270, 115107, 2020
752020
Engine structure modifications effect on the flow behavior, combustion, and performance characteristics of DI diesel engine
H Taghavifar, S Khalilarya, S Jafarmadar
Energy conversion and management 85, 20-32, 2014
732014
Heat generation/absorption on MHD stagnation flow of nanofluid towards a porous stretching sheet with prescribed surface heat flux
B Jalilpour, S Jafarmadar, DD Ganji, AB Shotorban, H Taghavifar
Journal of Molecular Liquids 195, 194-204, 2014
682014
Benchmarking of water injection in a hydrogen-fueled diesel engine to reduce emissions
H Taghavifar, S Anvari, A Parvishi
International Journal of Hydrogen Energy 42 (16), 11962-11975, 2017
662017
Combustion and exergy analysis of multi-component diesel-DME-methanol blends in HCCI engine
H Taghavifar, A Nemati, JH Walther
Energy 187, 115951, 2019
622019
Numerical energetic and exergetic analysis of CI diesel engine performance for different fuels of hydrogen, dimethyl ether, and diesel under various engine speeds
H Taghavifar, S Khalilarya, S Mirhasani, S Jafarmadar
International journal of hydrogen energy 39 (17), 9515-9526, 2014
512014
Modeling the impact of in-cylinder combustion parameters of DI engines on soot and NOx emissions at rated EGR levels using ANN approach
H Taghavifar, H Taghavifar, A Mardani, A Mohebbi
Energy conversion and management 87, 1-9, 2014
492014
Exhaust emissions prognostication for DI diesel group-hole injectors using a supervised artificial neural network approach
H Taghavifar, H Taghavifar, A Mardani, A Mohebbi
Fuel 125, 81-89, 2014
382014
Techno-economic viability of on grid micro-hybrid PV/wind/Gen system for an educational building in Iran
H Taghavifar, ZS Zomorodian
Renewable and Sustainable Energy Reviews 143, 110877, 2021
372021
Comparing multi-objective non-evolutionary NLPQL and evolutionary genetic algorithm optimization of a DI diesel engine: DoE estimation and creating surrogate model
A Navid, S Khalilarya, H Taghavifar
Energy Conversion and Management 126, 385-399, 2016
362016
Application of DoE evaluation to introduce the optimum injection strategy-chamber geometry of diesel engine using surrogate epsilon-SVR
H Taghavifar, S Jafarmadar, H Taghavifar, A Navid
Applied thermal engineering 106, 56-66, 2016
332016
A numerical investigation on the wall heat flux in a DI diesel engine fueled with n-heptane using a coupled CFD and ANN approach
H Taghavifar, H Taghavifar, A Mardani, A Mohebbi, S Khalilarya
Fuel 140, 227-236, 2015
332015
Implementation of ANN on CCHP system to predict trigeneration performance with consideration of various operative factors
S Anvari, H Taghavifar, RK Saray, S Khalilarya, S Jafarmadar
Energy conversion and management 101, 503-514, 2015
302015
Numerical simulation of diesel injector nozzle flow and in-cylinder spray evolution
S Anvari, H Taghavifar, S Khalilarya, S Jafarmadar, MT Shervani-Tabar
Applied Mathematical Modelling 40 (19-20), 8617-8629, 2016
252016
Numerical assessment of flow dynamics for various DI diesel engine designs considering swirl number and uniformity index
S Jafarmadar, H Taghavifar, H Taghavifar, A Navid
Energy Conversion and Management 110, 347-355, 2016
232016
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