Predicting the high-strain-rate deformation behavior and constructing processing maps of 304L stainless steel through machine learning and deep learning

Ghaffari Farid, M; Abedi, HR; Ghasempour, R; Taylor, A; Khoddam, S; Hodgson, Peter

Predicting the high-strain-rate deformation behavior and constructing processing maps of 304L stainless steel through machine learning and deep learning

journal contribution

posted on 2025-05-28, 05:06 authored by M Ghaffari Farid, HR Abedi, R Ghasempour, A Taylor, S Khoddam, Peter HodgsonPeter Hodgson

Predicting the high-strain-rate deformation behavior and constructing processing maps of 304L stainless steel through machine learning and deep learning

History

Journal

Journal of Materials Research and Technology

Volume

36

Pagination

7507-7518

Location

Amsterdam, The Netherlands

Open access

Yes

ISSN

2238-7854

eISSN

2214-0697

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Publisher

Elsevier

Usage metrics

Keywords

Bioengineering Machine Learning and Artificial Intelligence Networking and Information Technology R&D (NITRD)Stainless steel Thermomechanical processing Machine learning Deep learning Random forest Processing map

Licence

CC BY-NC-ND 4.0

Predicting the high-strain-rate deformation behavior and constructing processing maps of 304L stainless steel through machine learning and deep learning

History

Journal

Volume

Pagination

Location

Open access

ISSN

eISSN

Language

Publication classification

Publisher

Usage metrics

Categories

Keywords

Licence

Exports