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Proceedings Papers

Application of the Neural Networks in Prediction of the Thermal Flow on the Jiu River

Victorita Radulescu
Proc. ASME. HT2020, ASME 2020 Heat Transfer Summer Conference, V001T04A005, July 13–15, 2020
Paper No: HT2020-9043
DOI: https://doi.org/10.1115/HT2020-9043
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Topics: Artificial neural networks, Flow (Dynamics), Rivers, Temperature, Water, Water temperature, Errors, Chemical properties, Computer simulation, Cooling towers
Proceedings Papers

Effect of Materials on the Heat Transfer to Supercritical Pressure Fluids

Xianliang Lei, Xiangfei Kong, Qian Zhang, Weiqiang Zhang, Huixiong Li
Proc. ASME. HT2017, Volume 2: Heat Transfer Equipment; Heat Transfer in Multiphase Systems; Heat Transfer Under Extreme Conditions; Nanoscale Transport Phenomena; Theory and Fundamental Research in Heat Transfer; Thermophysical Properties; Transport Phenomena in Materials Processing and Manufacturing, V002T14A003, July 9–12, 2017
Paper No: HT2017-4833
DOI: https://doi.org/10.1115/HT2017-4833
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Topics: Fluids, Heat transfer, Pressure, Boiling, Heating, Boundary-value problems, Carbon dioxide, Chemical properties, Convection, Design
Proceedings Papers

Review of Molten Salt Nanofluids

Farzam Mortazavi, Debjyoti Banerjee
Proc. ASME. HT2016, Volume 1: Heat Transfer in Energy Systems; Thermophysical Properties; Theory and Fundamentals in Heat Transfer; Nanoscale Thermal Transport; Heat Transfer in Equipment; Heat Transfer in Fire and Combustion; Transport Processes in Fuel Cells and Heat Pipes; Boiling and Condensation in Macro, Micro and Nanosystems, V001T03A011, July 10–14, 2016
Paper No: HT2016-7316
DOI: https://doi.org/10.1115/HT2016-7316
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Topics: Nanofluids, Nanoparticles, Specific heat, Thermal conductivity, Fluids, Temperature, Energy generation, Molecular dynamics simulation, Rheology, Agglomeration (Materials)