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Original scientific paper

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


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Abstract

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.

Keywords

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

Hrčak ID:

190163

URI

https://hrcak.srce.hr/190163

Publication date:

3.12.2017.

Article data in other languages: croatian

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