Numerical investigation for the calculation of TiO sub(2)-water nanofluids' pressure drop in plain and enhanced pipes super()
In this investigation, a numerical model having two-dimensional equations was obtained by a CFD program and authors' experimental data were evaluated for the verification procedure of the numerical outputs. The experimental case study includes the single-phase flow of pure water in plain and mi...
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Veröffentlicht in: | International communications in heat and mass transfer 2014-04, Vol.53, p.98-108 |
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creator | Celen, Ali Kayaci, Nurullah Cebi, Alican Demir, Hakan Dalkilic, Ahmet Selim Wongwises, Somchai |
description | In this investigation, a numerical model having two-dimensional equations was obtained by a CFD program and authors' experimental data were evaluated for the verification procedure of the numerical outputs. The experimental case study includes the single-phase flow of pure water in plain and micro-fin pipes whereas the numerical one has the simulated results of TiO sub(2) particles suspended in single phase water flow in equivalent pipes at a constant heat flux. Hydrodynamics and thermal behaviors of the water-TiO sub(2) flow were calculated by constant heat flux and temperature-dependent settings. Physical specifications of nanofluids were calculated by means of the results of authors' previous ANN analyses. This study illustrates local and average values of temperature, pressure, and velocity distributions in the tested pipes; furthermore, comparisons of pressure drop characteristics are given in terms of nanoparticle concentrations and tube types. |
doi_str_mv | 10.1016/j.icheatmasstransfer.2014.02.022 |
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The experimental case study includes the single-phase flow of pure water in plain and micro-fin pipes whereas the numerical one has the simulated results of TiO sub(2) particles suspended in single phase water flow in equivalent pipes at a constant heat flux. Hydrodynamics and thermal behaviors of the water-TiO sub(2) flow were calculated by constant heat flux and temperature-dependent settings. Physical specifications of nanofluids were calculated by means of the results of authors' previous ANN analyses. This study illustrates local and average values of temperature, pressure, and velocity distributions in the tested pipes; furthermore, comparisons of pressure drop characteristics are given in terms of nanoparticle concentrations and tube types.</abstract><doi>10.1016/j.icheatmasstransfer.2014.02.022</doi></addata></record> |
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subjects | Heat flux Learning theory Mathematical models Nanostructure Neural networks Pipe Pressure drop Titanium dioxide |
title | Numerical investigation for the calculation of TiO sub(2)-water nanofluids' pressure drop in plain and enhanced pipes super() |
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