Determination of hardening model coefficients by using optimization method in finite element analysis

Yıl 2022, Cilt: 37 Sayı: 4, 2091 - 2104, 28.02.2022

İlyas Kacar , Süleyman Kılıç

https://doi.org/10.17341/gazimmfd.654200

Öz

In this study, plasticity models have been developed to be used in cold forging simulations of AA7075-T6 alloy which is widely used in aviation industry. In addition, the coefficients of the obtained models have been calibrated using genetic algorithm optimization method. As the hardening rule in models; bilinear isotropic is combined with Chaboche's nonlinear kinematic hardening rule (three terms). Plasticity models have been obtained by using the associated flow rule and Hill48 yield criterion in addition to the hardening rules. Experimental stress values have been compared with those obtained from the models. As a result, the most suitable hardening model for monotonic/ cyclic loading deformation conditions is presented and the effects of the model parameters on the results are shown.

Anahtar Kelimeler

Chaboche kinematic hardening model, bilinear isotropic hardening model, genetic algorithm, AA7075-T6, cold forging

7075-T6 alüminyum alaşımının soğuk dövme simülasyonu için birleşik plastisite model parametrelerinin tespiti ve tersine analiz ile kalibrasyonu

Öz

Bu çalışmada, havacılık endüstrisinde yoğun olarak kullanılan AA7075-T6 alaşımının soğuk dövülmesi simülasyonlarında kullanılmak üzere plastisite modelleri oluşturulmuştur. Ayrıca elde edilen modellerin katsayıları genetik algoritma optimizasyon yöntemi kullanılarak kalibre edilmiştir. Modellerde pekleşme kuralı olarak; bilinear izotropik ile Chaboche’nin nonlinear kinematik pekleşme kuralı (üç terimli) birleştirilmiştir. Pekleşme kurallarının yanında ilişkili akış kuralı ve Hill48 akma kriteri kullanılarak plastisite modelleri elde edilmiştir. Deneysel gerilme değerleri ile modellerden elde edilen değerler kıyaslanmıştır. Sonuç olarak monotonik/döngüsel yüklemeli deformasyon durumları için en uygun pekleşme modeli sunulmuştur ve model parametrelerinin sonuçlar üzerine etkileri gösterilmiştir.

Anahtar Kelimeler

Chaboche kinematik pekleşme modeli, bilineer izotropik pekleşme modeli, genetik algoritma, AA7075 T6, soğuk dövme

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