Robust design of a robot gripper mechanism using new hybrid grasshopper optimization algorithm

YILDIZ B. S., Pholdee N., Bureerat S., YILDIZ A. R., Sait S. M.

EXPERT SYSTEMS, cilt.38, sa.3, 2021 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 38 Sayı: 3
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1111/exsy.12666
  • Dergi Adı: EXPERT SYSTEMS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, ABI/INFORM, Applied Science & Technology Source, Biotechnology Research Abstracts, Business Source Elite, Business Source Premier, Compendex, Computer & Applied Sciences, INSPEC, Library, Information Science & Technology Abstracts (LISTA), Psycinfo
  • Anahtar Kelimeler: grasshopper optimization algorithm, hybrid algorithm, multi&#8208, clutch disc, Nelder Mead, robot gripper mechanism, robust design, vehicle crash
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

Structural design and optimization are important topics for the control and design of industrial robots. The motivation behind this research is to design a robot gripper mechanism. To explore robust design of the robot gripper mechanism, a new optimization approach based on a grasshopper optimization algorithm and Nelder-Mead algorithm is developed for requiring a fast and accurate solution. Additionally, a vehicle side crash design problem, a multi-clutch disc problem, and a manufacturing optimization problem are solved with the developed method to show the advantages of the new technique (HGOANM). Both engineering comparisons and production problem results in which HGOANM is applied are compared with the latest optimization techniques in the literature. The results of the problems resolved in this article reveal that the developed HGOANM is an essential optimization approach by solving real-world engineering problems quickly and accurately.