Applied Mathematics and Mechanics (English Edition) ›› 2014, Vol. 35 ›› Issue (7): 831-848.doi: https://doi.org/10.1007/s10483-014-1839-9

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Comparative numerical study of single and two-phase models of nanofluid heat transfer in wavy channel

M. M. RASHIDI1, A. HOSSEINI1, I. POP2, S. KUMAR3, N. FREIDOONIMEHR4   

  1. 1. Department of Mechanical Engineering, Faculty of Engineering, Bu-Ali Sina University, Hamedan 65178-38695, Iran;
    2. Department of Mathematics, BabeçBolyai University, Cluj-Napoca 400084, Romania;
    3. Department of Mathematics, National Institute of Technology, Jamshedpur 831014, Jharkhand, India;
    4. Young Researchers & Elite Club, Hamedan Branch, Islamic Azad University, Hamedan 65181-15743, Iran
  • 收稿日期:2013-06-16 修回日期:2013-11-15 出版日期:2014-07-01 发布日期:2014-07-01
  • 通讯作者: I. POP, Professor, Ph.D., E-mail:popm.ioan@yahoo.co.uk E-mail:popm.ioan@yahoo.co.uk

Comparative numerical study of single and two-phase models of nanofluid heat transfer in wavy channel

M. M. RASHIDI1, A. HOSSEINI1, I. POP2, S. KUMAR3, N. FREIDOONIMEHR4   

  1. 1. Department of Mechanical Engineering, Faculty of Engineering, Bu-Ali Sina University, Hamedan 65178-38695, Iran;
    2. Department of Mathematics, BabeçBolyai University, Cluj-Napoca 400084, Romania;
    3. Department of Mathematics, National Institute of Technology, Jamshedpur 831014, Jharkhand, India;
    4. Young Researchers & Elite Club, Hamedan Branch, Islamic Azad University, Hamedan 65181-15743, Iran
  • Received:2013-06-16 Revised:2013-11-15 Online:2014-07-01 Published:2014-07-01

摘要:

The main purpose of this study is to survey numerically comparison of twophase and single phase of heat transfer and flow field of copper-water nanofluid in a wavy channel. The computational fluid dynamics (CFD) prediction is used for heat transfer and flow prediction of the single phase and three different two-phase models (mixture, volume of fluid (VOF), and Eulerian). The heat transfer coefficient, temperature, and velocity distributions are investigated. The results show that the differences between the temperature field in the single phase and two-phase models are greater than those in the hydrodynamic field. Also, it is found that the heat transfer coefficient predicted by the single phase model is enhanced by increasing the volume fraction of nanoparticles for all Reynolds numbers; while for the two-phase models, when the Reynolds number is low, increasing the volume fraction of nanoparticles will enhance the heat transfer coefficient in the front and the middle of the wavy channel, but gradually decrease along the wavy channel.

关键词: probabilistic norm, probabilistic bounded set, probabilistic non-unbounded set, resonance theorem, wavy channel, two-phase model, nanofluid, semi implicit method for pressure linked equation (SIMPLE) method

Abstract:

The main purpose of this study is to survey numerically comparison of twophase and single phase of heat transfer and flow field of copper-water nanofluid in a wavy channel. The computational fluid dynamics (CFD) prediction is used for heat transfer and flow prediction of the single phase and three different two-phase models (mixture, volume of fluid (VOF), and Eulerian). The heat transfer coefficient, temperature, and velocity distributions are investigated. The results show that the differences between the temperature field in the single phase and two-phase models are greater than those in the hydrodynamic field. Also, it is found that the heat transfer coefficient predicted by the single phase model is enhanced by increasing the volume fraction of nanoparticles for all Reynolds numbers; while for the two-phase models, when the Reynolds number is low, increasing the volume fraction of nanoparticles will enhance the heat transfer coefficient in the front and the middle of the wavy channel, but gradually decrease along the wavy channel.

Key words: wavy channel, probabilistic norm, probabilistic bounded set, probabilistic non-unbounded set, resonance theorem, semi implicit method for pressure linked equation (SIMPLE) method, nanofluid, two-phase model

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