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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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Investigation of energy performance in a U-shaped evacuated solar tube collector using oxide added nanoparticles through the emitter, absorber and transmittal environments via discrete ordinates radiation method
Yeping Peng,Ali Zahedidastjerdi,Ali Abdollahi,Atefeh Amindoust,Mehrdad Bahrami,Arash Karimipour,Marjan Goodarzi +6 more
TL;DR: In this paper, a U-shaped evacuated tube solar collector employing different types of oxide nanofluids including water-Al2O3, water-CuO and water-TiO2 under the steady-state condition was analyzed.
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Optimal arrangements of a heat sink partially filled with multilayered porous media employing hybrid nanofluid
Hossein Arasteh,Ramin Mashayekhi,Davood Toghraie,Arash Karimipour,Mehdi Bahiraei,Alireza Rahbari +5 more
TL;DR: In this article, two configuration models of porous media are evaluated: metal foam with similar particle diameters (2mm) and different porosities (0.85, 0.95) and similar porosity (0, 2, 3 mm) and the optimal arrangements of metal foam at both models are selected according to the performance evaluation criteria value.
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Numerical assessment into the hydrothermal and entropy generation characteristics of biological water-silver nano-fluid in a wavy walled microchannel heat sink
Abdullah A.A.A. Al-Rashed,Amin Shahsavar,Omid Rasooli,M.A. Moghimi,Arash Karimipour,Minh-Duc Tran +5 more
TL;DR: In this paper, the impact of nanoadditives volume fraction, Reynolds number, amplitude and wavelength of the channel on the convective heat transfer coefficient, CPU surface temperature, pumping power, as well as the thermal, frictional, and total irreversibilities are investigated.
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Using of Artificial Neural Networks (ANNs) to predict the thermal conductivity of Zinc Oxide–Silver (50%–50%)/Water hybrid Newtonian nanofluid
Wei He,Behrooz Ruhani,Davood Toghraie,Niloufar Izadpanahi,Navid Nasajpour Esfahani,Arash Karimipour,Masoud Afrand +6 more
TL;DR: In this article, an algorithm is proposed to calculate the best neuron number in the Artificial Neural Network (ANN), and the performance and correlation coefficient for ANN has been calculated, and a surface is fitted on the experimental data, and the correlation coefficient and performance of this method have been calculated.
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Investigation of the gravity effects on the mixed convection heat transfer in a microchannel using lattice Boltzmann method
TL;DR: In this paper, the gravity effects on the mixed convection heat transfer in a microchannel using lattice Boltzmann method were investigated. But the results showed that buoyancy forces generated a rotational cell in the microchannel flow, leading to the negative slip velocity at Kn ǫ = 0.005.