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Advanced structural design of engineering components utilizing an artificial neural network and GNDO algorithm

  • Ali Rıza Yıldız

    Dr. 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, meta-heuristic optimization techniques, and additive manufacturing.

     EMAIL logo     and Betül Sultan Yıldız

    Dr. Betül Sultan Yıldız is an Associate Professor in the Department of Mechanical Engineering, Bursa Uludağ University, Bursa, Turkey. Her research interests are the finite element analysis, additive manufacturing, composite materials, vehicle design, vehicle crashworthiness, shape and topology optimization of vehicle components, meta-heuristic optimization methods, and sheet metal forming.
Published/Copyright: November 27, 2024
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Materials Testing
From the journal Materials Testing Volume 67 Issue 1

Abstract

In today’s competitive environment, the lightweighting of vehicle components is under intense study. While some of these studies focus on material modification, a very important part of these studies focuses on lightweighting the same material. The most widely used techniques in light-weight studies are topology, topography, size, shape optimization, and metaheuristic algorithms. This work introduces a novel hybrid generalized normal distribution optimization (GNDO) simulated annealing algorithm (GNDO-SA) adapted to optimize a vehicle component made of aluminum material. The focus is on shape optimization, which aims to minimize the weight of the vehicle component while ensuring that stress constraints are met. A combination of latin hypercube sampling (LHS) and artificial neural network is used to generate the mathematical equations governing mathematical equations for the objective/constraint used in the optimization. These findings highlight the effectiveness and superiority of the GNDO-SA method for optimization problems.

Keywords: vehicle component; aluminum; GNDO algorithm; finite element; simulated annealing
Corresponding author: Ali Rıza Yıldız, Department of Mechanical Engineering, Bursa Uludağ University , Bursa, Türkiye, E-mail:

About the authors

Ali Rıza Yıldız

Dr. 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, meta-heuristic optimization techniques, and additive manufacturing.

Betül Sultan Yıldız

Dr. Betül Sultan Yıldız is an Associate Professor in the Department of Mechanical Engineering, Bursa Uludağ University, Bursa, Turkey. Her research interests are the finite element analysis, additive manufacturing, composite materials, vehicle design, vehicle crashworthiness, shape and topology optimization of vehicle components, meta-heuristic optimization methods, and sheet metal forming.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

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

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: This research is supported by the Bursa Uludağ University Scientific Research Projects (BAP) unit under the Research Universities Support Program (ADEP) (Project number: FGA-2023-1316).

  7. Data availability: Not applicable.

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Published Online: 2024-11-27
Published in Print: 2025-01-29

© 2024 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. The effect of MWCNT concentration on the electrical resistance change characteristic of glass/fiber epoxy composites under low cycle fatigue loading
  3. Effect of TMAB and ZrC concentration on mechanical and morphological properties of Ni–B/ZrC composite electrodeposition
  4. Influence of pulse duration and frequency of laser surface texturing on the surface roughness and microstructure of CoCr28Mo alloy for biomedical applications
  5. Comparison of Ni-based SiC and B4C reinforcements on a TIG-coated AISI 1040 steel
  6. Fatigue life of friction stir spot welds between Z91 magnesium alloy and ENAW7075-T651 aluminum alloy
  7. Effect of wire feed speed and arc length on weld bead geometry in synergistic controlled pulsed MIG/MAG welding
  8. Structural and morphological behavior of Al-based hybrid composites reinforced by SiC and WS2 inorganic material
  9. Impact behavior of natural material-based sandwich composites
  10. Effects of different production methods and hybridization on mechanical characteristics of basalt, flax, and jute fiber-reinforced composites
  11. Effect of heat treatment on interface characteristics and mechanical properties of explosive welded Cu/Ti composites
  12. Enhanced mechanical properties of Sr-modified Al–Mg–Si alloy by thermo-mechanical treatment
  13. Mechanical properties of laser welded similar and dissimilar steel joints of TBF1050 and DP1000 steel sheets
  14. Mechanical behavior of composite pipe structures under compressive force and its prediction using different machine learning algorithms
  15. Advanced structural design of engineering components utilizing an artificial neural network and GNDO algorithm
  16. Energy efficiency in materials testing by reactive power – part 1: power recirculating method in wear testing
https://doi.org/10.1515/mt-2024-0216
Keywords for this article
vehicle component; aluminum; GNDO algorithm; finite element; simulated annealing

Articles in the same Issue

  1. Frontmatter
  2. The effect of MWCNT concentration on the electrical resistance change characteristic of glass/fiber epoxy composites under low cycle fatigue loading
  3. Effect of TMAB and ZrC concentration on mechanical and morphological properties of Ni–B/ZrC composite electrodeposition
  4. Influence of pulse duration and frequency of laser surface texturing on the surface roughness and microstructure of CoCr28Mo alloy for biomedical applications
  5. Comparison of Ni-based SiC and B4C reinforcements on a TIG-coated AISI 1040 steel
  6. Fatigue life of friction stir spot welds between Z91 magnesium alloy and ENAW7075-T651 aluminum alloy
  7. Effect of wire feed speed and arc length on weld bead geometry in synergistic controlled pulsed MIG/MAG welding
  8. Structural and morphological behavior of Al-based hybrid composites reinforced by SiC and WS2 inorganic material
  9. Impact behavior of natural material-based sandwich composites
  10. Effects of different production methods and hybridization on mechanical characteristics of basalt, flax, and jute fiber-reinforced composites
  11. Effect of heat treatment on interface characteristics and mechanical properties of explosive welded Cu/Ti composites
  12. Enhanced mechanical properties of Sr-modified Al–Mg–Si alloy by thermo-mechanical treatment
  13. Mechanical properties of laser welded similar and dissimilar steel joints of TBF1050 and DP1000 steel sheets
  14. Mechanical behavior of composite pipe structures under compressive force and its prediction using different machine learning algorithms
  15. Advanced structural design of engineering components utilizing an artificial neural network and GNDO algorithm
  16. Energy efficiency in materials testing by reactive power – part 1: power recirculating method in wear testing
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