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A novel hybrid Fick’s law algorithm-quasi oppositional–based learning algorithm for solving constrained mechanical design problems

  • 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 Ph.D. 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.

         , Betül Sultan Yildiz

    Dr. Betül Sultan Yildiz completed her BSc and MSc degrees at Uludağ University, Bursa, Turkey, and received her Ph.D. in Mechanical Engineering from Bursa Technical University, Turkey. Her research interests are optimal design, shape optimization, topology optimization, topography optimization, structural optimization methods, meta-heuristic optimization algorithms, and applications to industrial problems.

     ORCID logo EMAIL logo     , 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 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.

         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: September 13, 2023
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Materials Testing
From the journal Materials Testing Volume 65 Issue 12

Abstract

In this article, a recently developed physics-based Fick’s law optimization algorithm is utilized to solve engineering optimization challenges. The performance of the algorithm is further improved by incorporating quasi-oppositional–based techniques at the programming level. The modified algorithm was applied to optimize the rolling element bearing system, robot gripper, planetary gear system, and hydrostatic thrust bearing, along with shape optimization of the vehicle bracket system. Accordingly, the algorithm realizes promising statistical results compared to the rest of the well-known algorithms. Furthermore, the required number of iterations was comparatively less required to attain the global optimum solution. Moreover, deviations in the results were the least even when other optimizers provided better or more competitive results. This being said that this optimization algorithm can be adopted for a critical and wide range of industrial and real-world challenges optimization.

Keywords: Fick’s law algorithm; mechanical design; bearing systems; vehicle bearing system; design algorithm comparison
Corresponding author: Betül Sultan Yildiz, Department of Mechanical Engineering, Bursa Uludag University, Görükle Bursa, Bursa 16059, Türkiye, E-mail:

About the authors

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 Ph.D. 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.

Betül Sultan Yildiz

Dr. Betül Sultan Yildiz completed her BSc and MSc degrees at Uludağ University, Bursa, Turkey, and received her Ph.D. in Mechanical Engineering from Bursa Technical University, Turkey. Her research interests are optimal design, shape optimization, topology optimization, topography optimization, structural optimization methods, meta-heuristic optimization algorithms, and applications to industrial problems.

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 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.

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. Research ethics: Not applicable.

  2. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: The authors state no conflict of interest.

  4. Research funding: None declared.

  5. Data availability: Not applicable.

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Published Online: 2023-09-13
Published in Print: 2023-12-15

© 2023 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Effects of shear deformation on grain size and mechanical properties of the forged B4Cp/Al composite
  3. A novel method for measurements of surface topography in previously inaccessible areas
  4. Optimum design of a seat bracket using artificial neural networks and dandelion optimization algorithm
  5. Comparison between laser and TIG welding of electron beam melted Ti6Al4V parts
  6. Influence of heat input on temperature and stress field of X80 steel pipeline cirumferential weld using type-B sleeve repairing
  7. Experimental investigation of mechanical properties of PLA, ABS, and PETG 3-d printing materials using fused deposition modeling technique
  8. Preparation, characterization, and antimicrobial activity of novel chitosan blended almond gum–nanosilica bionanocomposite film for food packaging applications
  9. A novel hybrid Fick’s law algorithm-quasi oppositional–based learning algorithm for solving constrained mechanical design problems
  10. Tensile, bending, and impact properties of laminated carbon/aramid/glass hybrid fiber composites
  11. Effect of welding processes on ferrite content, microstructure and mechanical properties of super duplex stainless steel 2507 welds
  12. Wear and residual stress in high-feed milling of AISI H13 tool steel
  13. Optimum design of a composite drone component using slime mold algorithm
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https://doi.org/10.1515/mt-2023-0235
Keywords for this article
Fick’s law algorithm; mechanical design; bearing systems; vehicle bearing system; design algorithm comparison

Articles in the same Issue

  1. Frontmatter
  2. Effects of shear deformation on grain size and mechanical properties of the forged B4Cp/Al composite
  3. A novel method for measurements of surface topography in previously inaccessible areas
  4. Optimum design of a seat bracket using artificial neural networks and dandelion optimization algorithm
  5. Comparison between laser and TIG welding of electron beam melted Ti6Al4V parts
  6. Influence of heat input on temperature and stress field of X80 steel pipeline cirumferential weld using type-B sleeve repairing
  7. Experimental investigation of mechanical properties of PLA, ABS, and PETG 3-d printing materials using fused deposition modeling technique
  8. Preparation, characterization, and antimicrobial activity of novel chitosan blended almond gum–nanosilica bionanocomposite film for food packaging applications
  9. A novel hybrid Fick’s law algorithm-quasi oppositional–based learning algorithm for solving constrained mechanical design problems
  10. Tensile, bending, and impact properties of laminated carbon/aramid/glass hybrid fiber composites
  11. Effect of welding processes on ferrite content, microstructure and mechanical properties of super duplex stainless steel 2507 welds
  12. Wear and residual stress in high-feed milling of AISI H13 tool steel
  13. Optimum design of a composite drone component using slime mold algorithm
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