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Investigation of empirical correlations on the determination of condensation heat transfer characteristics during downward annular flow of R134a inside a vertical smooth tube using artificial intelligence algorithms

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Abstract

The heat transfer characteristics of R134a during downward condensation are investigated experimentally and numerically. While the convective heat transfer coefficient, two-phase multiplier and frictional pressure drop are considered to be the significant variables as output for the analysis, inputs of the computational numerical techniques include the important two-phase flow parameters such as equivalent Reynolds number, Prandtl number, Bond number, Froude number, Lockhart and Martinelli number. Genetic algorithm technique (GA), unconstrained nonlinear minimization algorithm-Nelder-Mead method (NM) and non-linear least squares error method (NLS) are applied for the optimization of these significant variables in this study. Regression analysis gave convincing correlations on the prediction of condensation heat transfer characteristics using ±30% deviation band for practical applications. The most suitable coefficients of the proposed correlations are depicted to be compatible with the large number of experimental data by means of the computational numerical methods. Validation process of the proposed correlations is accomplished by means of the comparison between the various correlations reported in the literature.

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Authors and Affiliations

  1. Computer Engineering Department, Yildiz Technical University, Yildiz, Besiktas, Istanbul, 34349, Turkey

    Muhammet Balcılar

  2. Heat and Thermodynamics Division, Department of Mechanical Engineering, Yildiz Technical University, Yildiz, Besiktas, Istanbul, 34349, Turkey

    Ahmet Selim Dalkılıç

  3. Design Division, Department of Mechanical Engineering, Yildiz Technical University, Yildiz, Besiktas, Istanbul, 34349, Turkey

    Berna Bolat

  4. Fluid Mechanics, Thermal Engineering and Multiphase Flow Research Lab. (FUTURE), Department of Mechanical Engineering, King Mongkut’s University of Technology Thonburi, Bangmod, Bangkok, 10140, Thailand

    Somchai Wongwises

  5. The Royal Institute of Thailand, Academy of Science, Sanam Suea Pa, Dusit, Bangkok, 10300, Thailand

    Somchai Wongwises

Authors
  1. Muhammet Balcılar
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  2. Ahmet Selim Dalkılıç
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  3. Berna Bolat
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  4. Somchai Wongwises
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Corresponding authors

Correspondence to Ahmet Selim Dalkılıç or Somchai Wongwises.

Additional information

This paper was recommended for publication in revised form by Associate Editor Jae Dong Chung

Muhammet Balcılar is currently a Research Assistant of Computer Engineering at Yildiz Technical University, Đstanbul, Turkey. He is a Ph.D student in Computer Engineering from the same university. His research interest is on artificial intelligence, video editing, optimization and signal processing.

Ahmet Selim Dalkılıç is currently an Assistant Professor of Mechanical Engineering at Yildiz Technical University, Đstanbul, Turkey. He received his Ph.D in Mechanical Engineering from the same university. His current research interest is in enhanced heat transfer, convection heat transfer, two-phase flow of new refrigerants and mixture refrigerants and applications in heat exchangers. Dr. Ahmet Selim Dalkılıc is the member of Innovation Explorer for Scientific Researchers Community sponsored by Elsevier and American Society of Mechanical Engineers.

Berna Bolat is currently an Assistant Professor of Mechanical Engineering at Yildiz Technical University, Đstanbul, Turkey. She received her Ph.D in Mechanical Engineering from the same university. Her current research interest is in computer aided design, vertical transportation, elevator traffic modeling and simulation and genetic algorithms.

Somchai Wongwises is currently a Professor of Mechanical Engineering at King Mongkut’s University of Technology Thonburi, Bangmod, Thailand. He received his Doktor-Ingenieur (Dr.-Ing.) in Mechanical Engineering from the University of Hannover, Germany, in 1994. His research interests include two-phase flow, heat transfer enhancement, and thermal system design. He is the head of the Fluid Mechanics, Thermal Engineering and Multiphase Flow Research Labarotory (FUTURE).

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Balcılar, M., Dalkılıç, A.S., Bolat, B. et al. Investigation of empirical correlations on the determination of condensation heat transfer characteristics during downward annular flow of R134a inside a vertical smooth tube using artificial intelligence algorithms. J Mech Sci Technol 25, 2683–2701 (2011). https://doi.org/10.1007/s12206-011-0618-2

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  • DOI: https://doi.org/10.1007/s12206-011-0618-2

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