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A multi-strategy boosted prairie dog optimization algorithm for global optimization of heat exchangers

  • Dildar Gürses

    Dr. Dildar Gürses received her BSc, MSc and PhD. degrees from the Department of Mechanical Engineering, Bursa Uludağ University, Bursa, Turkey. She is a lecturer at Bursa Uludag University.

     EMAIL logo     , Pranav Mehta

    Mr. Pranav Mehta is an Assistant Professor at the Department of Mechanical Engineering, Dharmsinh Desai University, Nadiad-387001, Gujarat, India. He is currently a PhD. research scholar with the Dharmsinh Desai University, Nadiad, Gujarat, India. His major research interest includes metaheuristics techniques, multi-objective optimization, solar-thermal technologies and renewable energy.

         , Sadiq M. Sait

    Dr. Sadiq M. Sait received his Bachelor’s degree in Electronics Engineering from Bangalore University, India, in 1981, and his Master’s and PhD. degrees in Electrical Engineering from the King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, in 1983 and 1987, respectively. He is currently a Professor of Computer Engineering and Director of the Center for Communications and IT Research, KFUPM, Dhahran, Saudi Arabia.

         , Sumit Kumar

    Sumit Kumar received the BEng degree (Hons.) in mechanical engineering from Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India, in 2012, and the MEng degree (Hons.) in design engineering from the Malaviya National Institute of Technology (NIT), Jaipur, India, in 2015. He is currently a PhD. research scholar with the College of Sciences and Engineering, Australian Maritime College, University of Tasmania, Launceston, Australia. His major research interests include metaheuristics techniques, multi-objective optimization, evolutionary algorithm and renewable energy systems.

         and Ali Riza Yildiz

    Dr. Ali Riza Yildiz is a Professor in the Department of Mechanical Engineering, Bursa Uludağ University, Bursa, Turkey. His research interests are the finite element analysis of structural components, lightweight design, vehicle design, vehicle crashworthiness, shape and topology optimization of vehicle components, meta-heuristic optimization techniques and additive manufacturing.
Published/Copyright: July 5, 2023
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Materials Testing
From the journal Materials Testing Volume 65 Issue 9

Abstract

In this article, a new prairie dog optimization algorithm (PDOA) is analyzed to realize the optimum economic design of three well-known heat exchangers. These heat exchangers found numerous applications in industries and are an imperative part of entire thermal systems. Optimization of these heat exchangers includes knowledge of thermo-hydraulic designs, design parameters and critical constraints. Moreover, the cost factor is always a challenging task to optimize. Accordingly, total cost optimization, including initial and maintenance, has been achieved using multi strategy enhanced PDOA combining PDOA with Gaussian mutation and chaotic local search (MSPDOA). Shell and tube, fin-tube and plate-fin heat exchangers are a special class of heat exchangers that are utilized in many thermal heat recovery applications. Furthermore, numerical evidences are accomplished to confirm the prominence of the MSPDOA in terms of the statistical results. The obtained results were also compared with the algorithms in the literature. The comparison revealed the best performance of the MSPDOA compared to the rest of the algorithm. The article further suggests the adaptability of MSPDOA for various real-world engineering optimization cases.

Keywords: heat exchangers; metaheuristics; prairie dog optimization algorithm; thermal system optimizations
Corresponding author: Dildar Gürses, Hybrid and Electric Vehicle Technology, Vocational School of Gemlik Asım Kocabıyık, Bursa Uludağ University, Bursa, Turkey, E-mail:

About the authors

Dildar Gürses

Dr. Dildar Gürses received her BSc, MSc and PhD. degrees from the Department of Mechanical Engineering, Bursa Uludağ University, Bursa, Turkey. She is a lecturer at Bursa Uludag University.

Pranav Mehta

Mr. Pranav Mehta is an Assistant Professor at the Department of Mechanical Engineering, Dharmsinh Desai University, Nadiad-387001, Gujarat, India. He is currently a PhD. research scholar with the Dharmsinh Desai University, Nadiad, Gujarat, India. His major research interest includes metaheuristics techniques, multi-objective optimization, solar-thermal technologies and renewable energy.

Sadiq M. Sait

Dr. Sadiq M. Sait received his Bachelor’s degree in Electronics Engineering from Bangalore University, India, in 1981, and his Master’s and PhD. degrees in Electrical Engineering from the King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, in 1983 and 1987, respectively. He is currently a Professor of Computer Engineering and Director of the Center for Communications and IT Research, KFUPM, Dhahran, Saudi Arabia.

Sumit Kumar

Sumit Kumar received the BEng degree (Hons.) in mechanical engineering from Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India, in 2012, and the MEng degree (Hons.) in design engineering from the Malaviya National Institute of Technology (NIT), Jaipur, India, in 2015. He is currently a PhD. research scholar with the College of Sciences and Engineering, Australian Maritime College, University of Tasmania, Launceston, Australia. His major research interests include metaheuristics techniques, multi-objective optimization, evolutionary algorithm and renewable energy systems.

Ali Riza Yildiz

Dr. Ali Riza Yildiz is a Professor in the Department of Mechanical Engineering, Bursa Uludağ University, Bursa, Turkey. His research interests are the finite element analysis of structural components, lightweight design, vehicle design, vehicle crashworthiness, shape and topology optimization of vehicle components, meta-heuristic optimization techniques and additive manufacturing.

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Published Online: 2023-07-05
Published in Print: 2023-09-26

© 2023 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Experimental evidence of hydrogen evolution from local anodic corrosion sites and its consequences for corrosion cracking mechanisms
  3. Weldability and mechanical behavior of CMT welded AISI 430 and HARDOX 500 steels
  4. Mechanical properties and microstructural features of rotary friction welded UNS S42000 martensitic stainless-steel joints
  5. Decarburization effects on high-cycle fatigue of uncoated press hardened steels
  6. Non-destructive detection for mosaic ceramic surface defects based on convolutional neural networks
  7. Low-velocity impact behaviours of sandwiches manufactured from fully carbon fiber composite for different cell types and compression behaviours for different core types
  8. Microstructural and numerical variation of friction spot welded AA7075 couples
  9. Crushing performance and optimization of bio-inspired multi-cell columns
  10. Collapse of a honeycomb sandwich composite in an aircraft radome
  11. A multi-strategy boosted prairie dog optimization algorithm for global optimization of heat exchangers
  12. Indentation creep behavior of Fe–8Ni–xZr oxide dispersion strengthened alloys
  13. Mechanical and tribological behavior of a hybrid WC and Al2O3 reinforced Al–4Gr composite
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https://doi.org/10.1515/mt-2023-0082
Keywords for this article
heat exchangers; metaheuristics; prairie dog optimization algorithm; thermal system optimizations

Articles in the same Issue

  1. Frontmatter
  2. Experimental evidence of hydrogen evolution from local anodic corrosion sites and its consequences for corrosion cracking mechanisms
  3. Weldability and mechanical behavior of CMT welded AISI 430 and HARDOX 500 steels
  4. Mechanical properties and microstructural features of rotary friction welded UNS S42000 martensitic stainless-steel joints
  5. Decarburization effects on high-cycle fatigue of uncoated press hardened steels
  6. Non-destructive detection for mosaic ceramic surface defects based on convolutional neural networks
  7. Low-velocity impact behaviours of sandwiches manufactured from fully carbon fiber composite for different cell types and compression behaviours for different core types
  8. Microstructural and numerical variation of friction spot welded AA7075 couples
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