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Filtering by: Author Akinori Yamanaka

Deep neural network approach to estimate biaxial stress-strain curves of sheet metals

Description/Abstract:

Multiaxial material testing is used to evaluate plastic deformation behavior of sheet metals in multiaxial stress states. A constitutive ...

Keyword:

Aluminum alloy sheets, Deep neural network, Material modeling, and Multiaxial material testing

Resource Type:

Article

Author:

Akinori Yamanaka, Ryunosuke Kamijyo, Kohta Koenuma, Ikumu Watanabe, and Toshihiko Kuwabara

Date Uploaded:

28/02/2023
Estimation of Texture-Dependent Stress-Strain Curve and <i>r</i>-Value of Aluminum Alloy Sheet Using Deep Learning

Description/Abstract:

Deformation of an aluminum alloy sheet which is affected by its underlying crystallographic texture has been widely studied using crystal...

Keyword:

crystallite orientation, deep learning, flow stress, numerical analysis, tension test, and texture

Resource Type:

Article

Author:

Kohta Koenuma, Akinori Yamanaka, Ikumu Watanabe, and Toshihiko Kuwabara

Date Uploaded:

02/03/2023