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Optimal Distribution of Discrete Heat Sources Under Mixed Convection: A Heuristic Approach

[+] Author Affiliations
Tapano Kumar Hotta, C. Balaji, S. P. Venkateshan

Indian Institute of Technology Madras, Chennai, India

Paper No. HT2013-17233, pp. V003T10A006; 9 pages
doi:10.1115/HT2013-17233
From:
  • ASME 2013 Heat Transfer Summer Conference collocated with the ASME 2013 7th International Conference on Energy Sustainability and the ASME 2013 11th International Conference on Fuel Cell Science, Engineering and Technology
  • Volume 3: Gas Turbine Heat Transfer; Transport Phenomena in Materials Processing and Manufacturing; Heat Transfer in Electronic Equipment; Symposium in Honor of Professor Richard Goldstein; Symposium in Honor of Prof. Spalding; Symposium in Honor of Prof. Arthur E. Bergles
  • Minneapolis, Minnesota, USA, July 14–19, 2013
  • Conference Sponsors: Heat Transfer Division
  • ISBN: 978-0-7918-5549-2
  • Copyright © 2013 by ASME

abstract

Steady state experiments are conducted in a low speed horizontal wind tunnel under mixed convection regime, for five discrete heat sources (Aluminum) of different sizes arranged at different positions on a substrate board (Bakelite), to determine the optimal configuration. The characteristic length of heat sources varies from 0.005 to 0.011 m. The optimal configuration is one whose maximum temperature excess (temperature difference between the heat source and ambient) is minimum among all the possible configuration of heat sources mounted on the substrate board, and is determined by a heuristic non-dimensional geometric parameter λ. The maximum temperature excess is found to decrease with λ, signifying an increase of heat transfer coefficient. In view of this, configuration with the highest λ value is the optimal one. The effect of surface radiation on the heat transfer characteristic has also been studied by painting the surface of heat sources with black paint, which reduces their temperature by as much as 12%. An empirical correlation is developed for the non-dimensional temperature excess (θ) by taking into account the effect of surface radiation. The correlation when applied for the highest λ to the configuration, returns the maximum value of θ at the optimal value, which is a key engineering quality that is sought in problems of this class.

Copyright © 2013 by ASME

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