CUTTING CONDITIONS OPTIMIZATION OF TURNING OPERATIONS WITH EXPONENTIAL INERTIA IN PARTICLE SWARM OPTIMIZATION

Yıl 2015, Sayı: 034, 111 - 123, 15.06.2015

Yasin Cantaş Burhanettin Durmuş

Öz

In this study, Exponential Inertia
Particle Swarm Optimization (e₂ -
PSO) method has been used for optimization of cutting
conditions in turning operations. The optimum cost has been performed using processing
parameters such as cutting speed, feed, depth of metal to be removed and number
of passes. Tool life, cutting force, power, temperature, surface roughness,
cutting speed, feed and cutting depth are considered in constraints. The
obtained results have been compared to other methods in the literature. And the
results show that e₂ – PSO has decreased cost.

Anahtar Kelimeler

Optimization, particle swarm optimization, turning, optimum cutting conditions

EKSPONANSİYEL AĞIRLIKLI PARÇACIK SÜRÜ ALGORİTMASI İLE TORNALAMA İŞLEMLERİNDE KESME KOŞULLARININ OPTİMİZASYONU

Öz

Bu çalışmada,Eksponansiyel Ağırlıklı Parçacık Sürü
Optimizasyonu (e₂ - PSO) algoritması tornalama işlemlerinde kesme
koşullarının optimizasyonu için kullanılmıştır. İşleme parametrelerinden kesme
hızı, ilerleme hızı, kaldırılacak talaş derinliği, paso sayısı kullanılarak minumum
maliyet hesabı gerçekleştirilmiştir. Kısıtlamalarda takım ömrü, kesme kuvveti,
güç, sıcaklık, yüzey pürüzlülüğü, kesme hızı, ilerleme ve kesme derinliği
dikkate alınmıştır. Elde edilen sonuçlar literatürdeki diğer sonuçlar ile
karşılaştırılmış ve e₂ – PSO tabanlı hesaplama ile maliyetin düştüğü
görülmüştür.

Anahtar Kelimeler

Optimizasyon, parçacık sürü optimizasyonu, tornalama, optimum kesme koşulları

Kaynakça

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