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Hadi Taghavifar
Hadi Taghavifar
Assistant Professor (Research), Durham University
durham.ac.uk의 이메일 확인됨 - 홈페이지
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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
1432017
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
1082015
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
1012017
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
902014
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
842020
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
792016
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
772014
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
732017
Combustion and exergy analysis of multi-component diesel-DME-methanol blends in HCCI engine
H Taghavifar, A Nemati, JH Walther
Energy 187, 115951, 2019
692019
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
692014
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
622021
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
552014
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
512014
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
412016
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
402014
1D energy, exergy, and performance assessment of turbocharged diesel/hydrogen RCCI engine at different levels of diesel, hydrogen, compressor pressure ratio, and combustion …
H Taghavifar, A Nemati, FJ Salvador, J De la Morena
International Journal of Hydrogen Energy 46 (42), 22180-22194, 2021
362021
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
362015
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
342016
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
332015
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
272016
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