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Tehnički vjesnik, Vol.24 No.6 Prosinac 2017.

Izvorni znanstveni članak
https://doi.org/10.17559/TV-20160130154750

A numerical study for prediction of forming load and experimental verification of bimetallic disc upsetting

Önder Ayer   ORCID icon orcid.org/0000-0001-8970-145X ; Trakya Universitesi, Mühendislik Fakültesi, Makina Mühendisliği Bölümü, Merkez, Edirne, Turkey

Puni tekst: engleski, pdf (2 MB) str. 1679-1688 preuzimanja: 0* citiraj
APA
Ayer, Ö. (2017). A numerical study for prediction of forming load and experimental verification of bimetallic disc upsetting. Tehnički vjesnik, 24(6). doi:10.17559/TV-20160130154750
Puni tekst: hrvatski, pdf (2 MB) str. 1679-1688 preuzimanja: 0* citiraj
APA
Ayer, Ö. (2017). Numerička analiza za predviđanje nastalog opterećenja i eksperimentalna provjera sabijanja bimetalnog diska. Tehnički vjesnik, 24(6). doi:10.17559/TV-20160130154750

Sažetak
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.

Ključne riječi
artificial neural network (ANN); bimetallic materials; DEFORM-3D; finite element method (FEM); load analysis; upper bound method (UB); upsetting

Hrčak ID: 190163

URI
http://hrcak.srce.hr/190163

[hrvatski]

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