A NUMERICAL STUDY FOR PREDICTION OF FORMING LOAD AND EXPERIMENTAL VERIFICATION OF BIMETALLIC DISC UPSETTING
Küçük Resim Yok
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Univ Osijek, Tech Fac
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Forming of disc samples composed from aluminium and copper in performed study was examined with upsetting procedure. An approach for prediction deformation load of upsetting processes is developed. This study combines the finite element method model, neural network model and upper bound method to simulate and predict the deformation load in upsetting of bimetallic materials. The Finite Element Method (FEM) results were obtained from DEFORM-3D software and they were compared and validated with experiments by taking forming load into consideration. Also, Artificial Neural Network (ANN) model was used to analyze and predict the forming load for different process parameters. The Upper Bound (UB) model was also proposed to estimate the forming load and the results were compared with experiments. It was understood that calculated results were in concordance with experimental results in upsetting of bimetallic hollow discs. Thus, proposed ANN, FEM and UB models provide a valuable insight into the parameters affecting forming load and can be named as useful tools to predict the forming load without the need of any experiments.
Açıklama
Anahtar Kelimeler
Artificial Neural Network (ANN), Bimetallic Materials, DEFORM-3D, Finite Element Method (FEM), Load Analysis, Upper Bound Method (UB), Upsetting, Ring Compression Test, Upper-Bound Method, Neural-Network, Element-Analysis, Taguchi Method, Extrusion, Billets, Fem, Optimization, Workability
Kaynak
Tehnicki Vjesnik-Technical Gazette
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
24
Sayı
6
