Jafar Baghbani Arani
Chemical Engineering Department, Kashan University, Kashan, I. R. Iran
[ 1 ] - Nanofluid Thermal Conductivity Prediction Model Based on Artificial Neural Network
Heat transfer fluids have inherently low thermal conductivity that greatly limits the heat exchange efficiency. While the effectiveness of extending surfaces and redesigning heat exchange equipments to increase the heat transfer rate has reached a limit, many research activities have been carried out attempting to improve the thermal transport properties of the fluids by adding more thermally c...
[ 2 ] - An experimental investigation of heat transfer of Fe2O3/Water nanofluid in a double pipe heat exchanger
One way to increase the heat transfer is to use perforated twisted tapes with different hole diameters, which largely improve heat transfer with an increase in the heat transfer area at the constant volume and more mixed flow. In the previous studies, the effect of nanofluids with perforated twisted tapes is less studied. In this work, the performance of water / iron oxide nanofluid in a double...
[ 3 ] - An experimental investigation of heat transfer of Fe2O3/Water nanofluid in a double pipe heat exchanger
One way to increase the heat transfer is to use perforated twisted tapes with different hole diameters, which largely improve heat transfer with an increase in the heat transfer area at the constant volume and more mixed flow. In the previous studies, the effect of nanofluids with perforated twisted tapes is less studied. In this work, the performance of water / iron oxide nanofluid in a double...
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