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Genetic algorithm optimization for finned channel performance

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Abstract

Compared to a smooth channel, a finned channel provides a higher heat transfer coefficient; increasing the fin height enhances the heat transfer. However, this heat transfer enhancement is associated with an increase in the pressure drop. This leads to an increased pumping power requirement so that one may seek an optimum design for such systems. The main goal of this paper is to define the exact location and size of fins in such a way that a minimal pressure drop coincides with an optimal heat transfer based on the genetic algorithm. Each fin arrangement is considered a solution to the problem (an individual for genetic algorithm). An initial population is generated randomly at the first step. Then the algorithm has been searched among these solutions and made new solutions iteratively by its functions to find an optimum design as reported in this article.

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Authors and Affiliations

  1. Production Department, SAIPA Company, Tehran, Iran

    S. S. Mousavi

  2. School of Engineering, the University of Queensland, Brisbane, Australia

    K. Hooman

  3. Knowledge Engineering Research Center, Aerospace Industrial Organization, Tehran, Iran

    S. J. Mousavi

Authors
  1. S. S. Mousavi
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  2. K. Hooman
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  3. S. J. Mousavi
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Corresponding author

Correspondence to K. Hooman.

Additional information

Communicated by ZHOU Zhe-wei

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Mousavi, S.S., Hooman, K. & Mousavi, S.J. Genetic algorithm optimization for finned channel performance. Appl. Math. Mech.-Engl. Ed. 28, 1597–1604 (2007). https://doi.org/10.1007/s10483-007-1206-z

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  • DOI: https://doi.org/10.1007/s10483-007-1206-z

Key words

Chinese Library Classification

2000 Mathematics Subject Classification

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