HAKKINDA

  • ISSN: 2149-4916
  • E-ISSN: 2149-9373
  • Yayın Periyodu:
    Nisan - Ağustos - Aralık
  • Editör:İsmail ŞAHİN
  • Yıl: 2017
  • Cilt: 3
  • No: 2

OPTİMUM DESİGN OF COMPRESSİON SPRİNG ACCORDİNG TO MİNİMUM VOLUME USİNG GREY WOLF OPTİMİZATİON METHOD

İsmail ŞAHİN,  Murat DÖRTERLER,  Harun GÖKÇE, 

Optimization of machine elements is both an important issue and an intensive study topic in engineering. Design of compression springs according to minimum weight or volume is a sample problem in this area. Various optimization methods such as particle swarm optimization, genetic algorithm are applied to the problem. Grey Wolf optimization (GWO) method, one of the least nature-inspired algorithms, mimics the hunting and leadership hierarchy of grey wolves. The method has attracted attention for a short time due to its successful performance in engineering applications. In this study, GWO was applied to the design of compression springs with minimum volume. The performance of the GWO was compared with the optimization methods used for solving the same problem in previous studies. The results of the study show that the GWO provides very successful results for the design of compression springs with minimum volume. 

Anahtar Kelime: Compression spring,  grey wolf optimizer,  optimimum design of machine elements

Tam Metin (PDF) Kaynakça


Makale Gönder