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Gradient-based optimizer for economic optimization of engineering problems

  • Pranav Mehta

    Pranav Mehta is an Assistant Professor at the Department of Mechanical Engineering, Dharmsinh Desai University, Gujarat, India.

         , Betül Sultan Yıldız

    Betül Sultan Yıldız received her B.Sc. and M.Sc. degrees from the Department of Mechanical Engineering, Bursa Uludağ University, Bursa, Turkey. She is a Ph.D. candidate in the same department.

         , Sadiq M. Sait

    Sadiq M. Sait received his Bachelor’s degree in Electronics Engineering from the Bangalore University, India, in 1981, and his Master’s and Ph.D. 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. He is a Senior Member of the IEEE. In 1981, he received the Best Electronic Engineer Award from the Indian Institute of Electrical Engineers, Bengaluru.

         and Ali Rıza Yıldız

    Ali Rıza Yıldız 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, metaheuristic optimization techniques, and additive manufacturing.

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Published/Copyright: May 9, 2022
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Materials Testing
From the journal Materials Testing Volume 64 Issue 5

Abstract

Optimization of the heat recovery devices such as heat exchangers (HEs) and cooling towers is a complex task. In this article, the widely used fin and tube HE (FTHE) is optimized in terms of the total costs by the novel gradient-based optimization (GBO) algorithm. The FTHE s have a cylindrical tube with transverse or longitudinal fin enhanced on it. For this study, various constraints and design variables are considered, with the total cost as the objective function. The study reveals that the GBO provides promising results for the present case study with the highest success rate. Also, the comparative results suggest that GBO is the robust optimizer in terms of the best-optimized values of the fitness function vis-à-vis design variables. This study builds the future implications of the GBO in a wide range of engineering optimization fields.

Keywords: fin and tube heat exchanger; gradient-based optimizer; metaheuristic; optimum design
Corresponding author: Ali Rıza Yıldız, Department of Mechanical Engineering, Bursa Uludag University, Uludağ University, Görükle bursa, 16059 Bursa, Turkey, E-mail:

About the authors

Pranav Mehta

Pranav Mehta is an Assistant Professor at the Department of Mechanical Engineering, Dharmsinh Desai University, Gujarat, India.

Betül Sultan Yıldız

Betül Sultan Yıldız received her B.Sc. and M.Sc. degrees from the Department of Mechanical Engineering, Bursa Uludağ University, Bursa, Turkey. She is a Ph.D. candidate in the same department.

Sadiq M. Sait

Sadiq M. Sait received his Bachelor’s degree in Electronics Engineering from the Bangalore University, India, in 1981, and his Master’s and Ph.D. 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. He is a Senior Member of the IEEE. In 1981, he received the Best Electronic Engineer Award from the Indian Institute of Electrical Engineers, Bengaluru.

Ali Rıza Yıldız

Ali Rıza Yıldız 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, metaheuristic 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: 2022-05-09
Published in Print: 2022-05-25

© 2022 Walter de Gruyter GmbH, Berlin/Boston

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https://doi.org/10.1515/mt-2022-0055
Keywords for this article
fin and tube heat exchanger; gradient-based optimizer; metaheuristic; optimum design

Articles in the same Issue

  1. Frontmatter
  2. Experimental and dynamic thermal numerical investigation of a climate test chamber
  3. Influence of high-temperature, high-pressure, and acidic conditions on the structure and properties of high-performance organic fibers
  4. Microstructure analysis and mechanical properties of electron beam powder bed fusion (PBF-EB)-manufactured γ-titanium aluminide (TiAl) at elevated temperatures
  5. Microstructural evolution and impression creep properties of a lead-based alloy PbSn16Sb16Cu2
  6. Laser and TIG welding of additive manufactured Ti-6Al-4V parts
  7. Investigation of the hydrogen embrittlement susceptibility of steel components during thin-film hot-dip galvanizing
  8. Effects of coating, holding force, stretching height, yield stress, and surface roughness on springback of steel in the V-stretch bending test
  9. Gradient-based optimizer for economic optimization of engineering problems
  10. Failure investigation of a spline half-shaft in a loader rickshaw differential system
  11. Manta ray foraging optimization algorithm and hybrid Taguchi salp swarm-Nelder–Mead algorithm for the structural design of engineering components
  12. Effect of tool rotational speed and position on mechanical and microstructural properties of friction stir welded dissimilar alloys AZ31B Mg and Al6061
  13. Effect of different joint angles on the mechanical strength of adhesive-bonded scarf and double butt–lap joints
  14. Buckling behavior of laminated composites with embedded delaminations
  15. Comparison of pull-out behavior of glass, basalt, and carbon rovings embedded in fine-grain concrete and geopolymer
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