A
Arash Karimipour
Researcher at Islamic Azad University
Publications - 313
Citations - 14751
Arash Karimipour is an academic researcher from Islamic Azad University. The author has contributed to research in topics: Nanofluid & Heat transfer. The author has an hindex of 65, co-authored 257 publications receiving 10833 citations. Previous affiliations of Arash Karimipour include Virginia Tech College of Natural Resources and Environment & University of Sistan and Baluchestan.
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Develop the nano scale method of lattice Boltzmann to predict the fluid flow and heat transfer of air in the inclined lid driven cavity with a large heat source inside, Two case studies: Pure natural convection & mixed convection
TL;DR: In this article, a lattice Boltzmann model was developed to predict the fluid flow and heat transfer of air through the inclined lid driven 2D cavity while a large heat source is considered inside it.
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Nanoparticles migration due to thermophoresis and Brownian motion and its impact on Ag-MgO/Water hybrid nanofluid natural convection
Sahar Goudarzi,Masih Shekaramiz,Alireza Omidvar,Ehsan Golab,Arash Karimipour,Aliakbar Karimipour +5 more
TL;DR: In this article, the authors investigated the impact of nanoparticle migration due to Brownian motion and thermophoresis on Ag-MgO/Water hybrid nanofluid natural convection.
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Natural convection of Al2O3–water nanofluid in an inclined enclosure with the effects of slip velocity mechanisms: Brownian motion and thermophoresis phenomenon
TL;DR: In this article, the effects of inclination angle on natural convective heat transfer and fluid flow in an enclosure filled with Al 2 O 3 -water nanofluid are studied numerically.
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Prediction of viscosity of biodiesel blends using various artificial model and comparison with empirical correlations
Yuanzhou Zheng,Mostafa Safdari Shadloo,Hossein Nasiri,Akbar Maleki,Arash Karimipour,Iskander Tlili +5 more
TL;DR: In this article, the authors evaluated the viscosity of fuel mixtures through Generalized regression neural network (GRNN), Radial Basis Neural Networks (RBFNN), Multi-Layer Perceptron Neural Network (MLPNN), and Cascade Feed-forward Neural Network(CFNN) based on various experimental data.
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Effect of nanofluid variable properties on mixed convection flow and heat transfer in an inclined two-sided lid-driven cavity with sinusoidal heating on sidewalls
TL;DR: In this article, an inclined two-sided lid-driven cavity subjected to Al2O3-water nanofluid (with diff erent particle diameters from 15 to 99 nm) has been investigated numerically.