Application of Worm Optimization Algorithm to Design Challenges: A Focus on Pressure Springs

Authors

DOI:

https://doi.org/10.5755/j02.mech.39982

Keywords:

Worm optimization algorithm, pressure spring, design optimization

Abstract

Meta-heuristic algorithms are approximate algorithms that are used in situations where traditional optimization techniques cannot achieve acceptable results. Specifically, they are widely used to achieve optimum design of machine elements. Designing springs according to minimum weight or volume is one of the most basic problems in this field. In this study, a bio-inspired meta-heuristic Worm Optimization Algorithm (WOA) inspired by the contribution of worms to nature was used to solve the problem. The results obtained were compared with those obtained by other algorithms and it was seen that similar data was obtained recently. As a result, it was determined that this algorithm can be used for optimum design of mechanical structures.

Author Biography

  • Harun GÖKÇE, Gazi University

    Harun Gokce was born in Çankırı, Turkey in 1983. He received his BS and MS degrees in Mechanical Engineering from BEUN in 2005 and 2008, respectively. Then he got his PhD degree in Manufacturing Engineering from the Gazi University in 2014. He worked in the automotive industry in 2005-2010. Until 2021, he served as Senior Mechanical Design Engineer in the Aerodynamics Division and Structural and Mechanical Design Division for the Defense Industries Research and Development Institute of The Scientific and Technical Research Council of Turkey (TÜBİTAK SAGE). Currently, He lectures at the Department of Industrial Design Engineering at Gazi University Faculty of Technology and consultant at the METU Wind Tunnel and Titra Technology.

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Published

2025-11-18

Issue

Vol. 31 No. 5 (2025)

Section

DESIGN AND OPTIMIZATION OF MECHANICAL SYSTEMS

License

Copyright (c) 2025 Mechanics

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