Full-range stress–strain curve estimation of aluminum alloys using machine learning-aided ultrasound-Reference-Cited by-同舟云学术

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Full-range stress–strain curve estimation of aluminum alloys using machine learning-aided ultrasound

Published:2023-12 Issue: Volume:135 Page:107146
ISSN:0041-624X
Container-title:Ultrasonics
language:en
Short-container-title:Ultrasonics

Author:

Park Seong-Hyun,Chung Junyeon,Yi Kiyoon,Sohn Hoon,Jhang Kyung-Young

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics

Reference37 articles.

1. W. Ramberg, W.R. Osgood, Description of stress-strain curves by three parameters, 1943.

2. In situ and layer-by-layer grain size estimation in additively manufactured metal components using femtosecond laser ultrasonics;Park;J. Laser Appl.,2023

3. Computer Simulations of Dislocations;Bulatov,2006

4. Prediction of composite microstructure stress-strain curves using convolutional neural networks;Yang;Mater. Des.,2020

5. Estimation of texture-dependent stress-strain curve and r-value of aluminum alloy sheet using deep learning;Koenuma;Mater. Trans.,2020

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