Springback Analysis in Wipe Bending Process through Neural Networks

Date

2014-06-20

Author

Şenol, Özgü
Esat, Volkan
Darendeliler, Haluk

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https://hdl.handle.net/11511/80089

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Springback analysis in bending through finite element method based artificial neural networks Şenol, Özgü; Darendeliler, Haluk; Esat, Volkan; Department of Mechanical Engineering (2013) Springback prediction is vital in order to obtain the desired part shape in metal forming processes. In most of the applications, springback amount is determined by trial and error procedures, and recently by using numerical methods or through handbook tables. Artificial Neural Network (ANN) is a helpful tool for the engineers and applied in this study to determine the springback amounts in air, V-die and wipe bending processes. For this purpose, bending processes are analyzed by commercial finite element (...
Springback analysis in air bending process through experiment based artificial neural networks Senol, Ozgu; Esat, Volkan; Darendeliler, Haluk (2014-10-24) Sheet metal bending is one of the most frequently used sheet metal forming processes in manufacturing industry. This study investigates bending parameters and springback phenomenon of a stainless-steel sheet in air bending process. In most of the applications, springback is determined either by trial and error procedures or by using numerical methods. Artificial Neural Network (ANN) approach has proved to be a helpful tool for the engineers. ANN is used in this study to predict the springback amounts of sta...
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Citation Formats

Ö. Şenol, V. Esat, and H. Darendeliler, “Springback Analysis in Wipe Bending Process through Neural Networks,” 2014, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/80089.