Towards an instant structure-property prediction quality control tool for additive manufactured steel using a crystal plasticity trained deep learning surrogate-Reference-Cited by-同舟云学术

Towards an instant structure-property prediction quality control tool for additive manufactured steel using a crystal plasticity trained deep learning surrogate

Published:2022-01 Issue: Volume:213 Page:110345
ISSN:0264-1275
Container-title:Materials & Design
language:en
Short-container-title:Materials & Design

Author:

Tu Yuhui^ORCID,Liu Zhongzhou^ORCID,Carneiro Luiz^ORCID,Ryan Caitriona M.^ORCID,Parnell Andrew C.^ORCID,Leen Seán B,Harrison Noel M

Funder

Science Foundation Ireland

University of Nevada, Reno

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference90 articles.

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3. Crystal plasticity;Asaro;J. Appl. Mech.,1983

4. Chapter 6 - Metal additive manufacturing process modeling and simulation;Dutta,2019

5. Micromechanical modeling approach to single track deformation, phase transformation and residual stress evolution during selective laser melting using crystal plasticity;Lindroos;Addit. Manuf.,2021

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