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

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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