Estimation of Texture-Dependent Stress-Strain Curve and <i>r</i>-Value of Aluminum Alloy Sheet Using Deep Learning-Reference-Cited by-同舟云学术

Estimation of Texture-Dependent Stress-Strain Curve and r-Value of Aluminum Alloy Sheet Using Deep Learning

Published:2020-12-01 Issue:12 Volume:61 Page:2276-2283
ISSN:1345-9678
Container-title:MATERIALS TRANSACTIONS
language:en
Short-container-title:Mater. Trans.

Author:

Koenuma Kohta¹,Yamanaka Akinori²,Watanabe Ikumu³,Kuwabara Toshihiko²

Affiliation:

1. Graduate School of Engineering, Department of Mechanical Systems Engineering, Tokyo University of Agriculture and Technology

2. Division of Mechanical Systems Engineering, Institute of Engineering, Tokyo University of Agriculture and Technology

3. Research Center for Structural Materials, National Institute for Materials Science

Publisher

Japan Institute of Metals

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Link

https://www.jstage.jst.go.jp/article/matertrans/61/12/61_P-M2020853/_pdf

Reference31 articles.

1. 1) G. Wasserman and Y. Masuda: J. JILM 17 (1967) 3–11.

2. 2) S. Li, P.V. Houtte and S.R. Kalidindi: Model. Simul. Mater. Sci. Eng. 12 (2004) 845.

3. 3) K. Hashimoto, A. Yamanaka, J. Kawaguchi, K. Sakura and T. Kuwabara: J. JILM 65 (2015) 196–203.

4. 4) Benchmark Problems and Results: The 11th Int. Conf. on Numerical Simulation of 3D Sheet Metal Forming Processes, ed. by T. Hama, M. Kuroda, T. Kuwabara, S. Takahashi and A. Yamanaka, (2018) pp. 129–170.

5. 5) I. Watanabe and K. Terada: Int. J. Mech. Sci. 52 (2010) 343–355.

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