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 (...
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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.