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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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A novel nonlinear regression model of SVR as a substitute for ANN to predict conductivity of MWCNT-CuO/water hybrid nanofluid based on empirical data
Arash Karimipour,Seyed Amin Bagherzadeh,Abdolmajid Taghipour,Ali Abdollahi,Mohammad Reza Safaei +4 more
TL;DR: SVR can show better persistence to overfitting in little-size datasets compared to ANN, therefore, SVR is more authentic approach for the regression with little- size datasets.
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Effects of nanoparticles to present a statistical model for the viscosity of MgO-Water nanofluid
TL;DR: In this article, the rheological behavior of MgO-Water nanofluid at different temperatures ranging from 25°C to 60°C and different volume fractions ranging from 0.07% to 1.25% has been examined.
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An experimental study on thermal conductivity of MgO nanoparticles suspended in a binary mixture of water and ethylene glycol
TL;DR: In this article, the thermal conductivity of MgO/water-EG (60:40) nanofluid has been investigated for different solid volume fractions and temperatures.
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Experimental measurements of thermal conductivity of engine oil-based hybrid and mono nanofluids with tungsten oxide (WO3) and MWCNTs inclusions
TL;DR: In this paper, an experimental analysis was used to measure the thermal conductivity (knf) of WO3-MWCNTs/Engine Oil hybrid nanofluids, and a new significance was established.
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Performance investigation of micro- and nano-sized particle erosion in a 90° elbow using an ANFIS model
Shahaboddin Shamshirband,Amir Malvandi,Arash Karimipour,Marjan Goodarzi,Masoud Afrand,Dalibor Petković,Mahidzal Dahari,Naghmeh Mahmoodian,Naghmeh Mahmoodian +8 more
TL;DR: In this paper, an adaptive neuro-fuzzy inference system (ANFIS) was used to predict the performance of micro and nano-sized particle erosion in a 3-D 90° elbow.