M
Mohammad Hatami
Researcher at Ferdowsi University of Mashhad
Publications - 189
Citations - 9337
Mohammad Hatami is an academic researcher from Ferdowsi University of Mashhad. The author has contributed to research in topics: Nanofluid & Heat transfer. The author has an hindex of 52, co-authored 178 publications receiving 7407 citations. Previous affiliations of Mohammad Hatami include Eindhoven University of Technology & Babol Noshirvani University of Technology.
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Investigation of heated fins geometries on the heat transfer of a channel filled by hybrid nanofluids under the electric field
TL;DR: In this article, the Galerkin Finite Element Method (GFEM) is used for modeling the heat transfer in a channel filled by hybrid nanofluids under the electric field.
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Effect of Two Baffles on MHD Natural Convection in U-Shape Superposed by Solid Nanoparticle having Different Shapes
TL;DR: In this paper, numerical Galerkin Finite Element Method (GFEM) applies for natural convection heat transfer of U-shaped cavity filled by Fe3O4-water nanofluid under the magnetic field and including two baffles.
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MHD mixed convection and entropy generation of CNT-water nanofluid in a wavy lid-driven porous enclosure at different boundary conditions
TL;DR: In this paper , the authors used Galerkin Finite Element Method (GFEM) for the modeling of mixed convection with the entropy generation in wavy lid-driven porous enclosure filled by the CNT-water nanofluid under the magnetic field.
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Different shapes of Fe3O4 nanoparticles on the free convection and entropy generation in a wavy-wall square cavity filled by power-law non-Newtonian nanofluid
TL;DR: In this article, the authors investigate the influences of Nanoparticles volume fraction, nanoparticles shape, amplitude and wavelength of wavy surface, Hartmann number and the Angle of magnetic field on the Nusselt number, Bejan number and entropy generation rate in a wavy wall cavity, numerically.
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Planned production of thermal units for reducing the emissions and costs using the improved NSGA II method
TL;DR: This paper presents a new algorithm for production planning, thermal units called so-called economic dispatch, based on multi-objective optimization algorithm of Genetic Algorithm, which is a meta-heuristic algorithm that can find answers with less contaminant.