D-Index & Metrics Best Publications
Mechanical and Aerospace Engineering
Iran
2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mechanical and Aerospace Engineering D-index 86 Citations 16,886 387 World Ranking 68 National Ranking 4

Research.com Recognitions

Awards & Achievements

2023 - Research.com Mechanical and Aerospace Engineering in Iran Leader Award

2022 - Research.com Mechanical and Aerospace Engineering in Iran Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Thermodynamics
  • Composite material
  • Mechanical engineering

Davood Toghraie mostly deals with Nanofluid, Thermodynamics, Heat transfer, Volume and Nusselt number. His Nanofluid research incorporates themes from Volume fraction, Thermal conductivity and Reynolds number. His work deals with themes such as Microchannel and Laminar flow, which intersect with Heat transfer.

His research integrates issues of Thermal, Nanotechnology, Viscosity, Atmospheric temperature range and Analytical chemistry in his study of Volume. In his study, Film temperature, Churchill–Bernstein equation and Heat flux is inextricably linked to Heat transfer coefficient, which falls within the broad field of Nusselt number. His Nanoparticle study incorporates themes from Composite material and Hagen–Poiseuille equation.

His most cited work include:

  • Measurement of thermal conductivity of ZnO–TiO 2 /EG hybrid nanofluid (233 citations)
  • Effects of temperature and nanoparticles concentration on rheological behavior of Fe3O4–Ag/EG hybrid nanofluid: An experimental study (217 citations)
  • An experimental study on the effect of diameter on thermal conductivity and dynamic viscosity of Fe/water nanofluids (198 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Mechanics, Nanofluid, Heat transfer, Nusselt number and Reynolds number. Davood Toghraie interconnects Volume fraction, Microchannel and Thermal conductivity in the investigation of issues within Nanofluid. His Heat transfer research includes elements of Composite material and Porous medium.

His Nusselt number study combines topics from a wide range of disciplines, such as Natural convection, Combined forced and natural convection, Forced convection, Convective heat transfer and Richardson number. His study looks at the relationship between Nanoparticle and topics such as Ethylene glycol, which overlap with Atmospheric temperature range. His Volume course of study focuses on Viscosity and Rheology.

He most often published in these fields:

  • Mechanics (50.76%)
  • Nanofluid (50.46%)
  • Heat transfer (37.39%)

What were the highlights of his more recent work (between 2020-2021)?

  • Nanofluid (50.46%)
  • Mechanics (50.76%)
  • Heat transfer (37.39%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Nanofluid, Mechanics, Heat transfer, Volume fraction and Reynolds number. His Nanofluid research includes themes of Microchannel, Thermal conductivity and Work. His research in Mechanics intersects with topics in Thermal and Aspect ratio.

His biological study spans a wide range of topics, including Nusselt number, Tube, Heat exchanger and Fluid dynamics. He works mostly in the field of Nusselt number, limiting it down to concerns involving Richardson number and, occasionally, Simple harmonic motion and Combined forced and natural convection. His Reynolds number research includes elements of Velocity gradient and Heat transfer coefficient.

Between 2020 and 2021, his most popular works were:

  • Measurement of the thermal conductivity of MWCNT-CuO/water hybrid nanofluid using artificial neural networks (ANNs) (30 citations)
  • Predict the thermal conductivity of SiO 2 /water–ethylene glycol (50:50) hybrid nanofluid using artificial neural network (21 citations)
  • On the optimization of a vertical twisted tape arrangement in a channel subjected to MWCNT–water nanofluid by coupling numerical simulation and genetic algorithm (13 citations)

In his most recent research, the most cited papers focused on:

  • Thermodynamics
  • Mechanical engineering
  • Composite material

Davood Toghraie focuses on Mechanics, Nanofluid, Heat transfer, Pressure drop and Thermal conductivity. His Nanofluid study incorporates themes from Volume fraction, Surface equation and Applied mathematics. His Volume fraction study integrates concerns from other disciplines, such as Coolant, Heat capacity rate, Angle of attack, Fluid dynamics and Heat transfer enhancement.

Davood Toghraie combines subjects such as Flow velocity, Nusselt number, Heat exchanger, Simple harmonic motion and Richardson number with his study of Heat transfer. Davood Toghraie interconnects Heat transfer coefficient, Heat flux and Reynolds number in the investigation of issues within Pressure drop. His Reynolds number research is multidisciplinary, relying on both Non-Newtonian fluid and Microchannel.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Measurement of thermal conductivity of ZnO–TiO 2 /EG hybrid nanofluid

Davood Toghraie;Vahid Avalin Chaharsoghi;Masoud Afrand.
Journal of Thermal Analysis and Calorimetry (2016)

330 Citations

Measurement of thermal conductivity of ZnO–TiO 2 /EG hybrid nanofluid

Davood Toghraie;Vahid Avalin Chaharsoghi;Masoud Afrand.
Journal of Thermal Analysis and Calorimetry (2016)

330 Citations

Effects of temperature and nanoparticles concentration on rheological behavior of Fe3O4–Ag/EG hybrid nanofluid: An experimental study

Masoud Afrand;Davood Toghraie;Behrooz Ruhani.
Experimental Thermal and Fluid Science (2016)

301 Citations

Effects of temperature and nanoparticles concentration on rheological behavior of Fe3O4–Ag/EG hybrid nanofluid: An experimental study

Masoud Afrand;Davood Toghraie;Behrooz Ruhani.
Experimental Thermal and Fluid Science (2016)

301 Citations

An experimental study on the effect of diameter on thermal conductivity and dynamic viscosity of Fe/water nanofluids

Mohammad Hemmat Esfe;Seyfolah Saedodin;Somchai Wongwises;Davood Toghraie.
Journal of Thermal Analysis and Calorimetry (2015)

279 Citations

An experimental study on the effect of diameter on thermal conductivity and dynamic viscosity of Fe/water nanofluids

Mohammad Hemmat Esfe;Seyfolah Saedodin;Somchai Wongwises;Davood Toghraie.
Journal of Thermal Analysis and Calorimetry (2015)

279 Citations

Experimental study on thermal conductivity of water-based Fe3O4 nanofluid: Development of a new correlation and modeled by artificial neural network

Masoud Afrand;Davood Toghraie;Nima Sina.
International Communications in Heat and Mass Transfer (2016)

240 Citations

Experimental study on thermal conductivity of water-based Fe3O4 nanofluid: Development of a new correlation and modeled by artificial neural network

Masoud Afrand;Davood Toghraie;Nima Sina.
International Communications in Heat and Mass Transfer (2016)

240 Citations

Thermal conductivity modeling of MgO/EG nanofluids using experimental data and artificial neural network

Mohammad Hemmat Esfe;Seyfolah Saedodin;Mehdi Bahiraei;Davood Toghraie.
Journal of Thermal Analysis and Calorimetry (2014)

239 Citations

Thermal conductivity modeling of MgO/EG nanofluids using experimental data and artificial neural network

Mohammad Hemmat Esfe;Seyfolah Saedodin;Mehdi Bahiraei;Davood Toghraie.
Journal of Thermal Analysis and Calorimetry (2014)

239 Citations

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