Issue 68

M. Sarparast et alii, Frattura ed Integrità Strutturale, 68 (2024) 340-356; DOI: 10.3221/IGF-ESIS.68.23

Predictive modeling of fracture behavior in Ti6Al4V alloys manufactured by SLM process

Mohsen Sarparast Department of Mechanical, Industrial & Manufacturing Engineering, The University of Toledo, Toledo, OH, USA Mohsen.Sarparast@rockets.utoledo.edu, https://orcid.org/0000-0002-9159-8460 Majid Shafaie Department of Mechanical Engineering, Amirkabir University of Technology, Tehran, Iran. magician754@aut.ac.ir, https://orcid.org/0000-0002-3140-5495 Mohammad Davoodi, Ahmad Memaran Babakan Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran. m.e_davoodi@yahoo.com, ahmadmemaran1991@gmail.com Hongyan Zhang Department of Mechanical, Industrial & Manufacturing Engineering, The University of Toledo, Toledo, OH, USA hongyan.zhang@utoledo.edu

Citation: Sarparast, M., Shafaie, M., Davoodi, M., Memaran Babakan, A., Zhang, H., Predictive modeling of fracture behavior in Ti6Al4V alloys manufactured by SLM process, Frattura ed Integrità Strutturale, 68 (2024) 340-356.

Received: 29.12.2024 Accepted: 09.03.2024 Published: 10.03.2024 Issue: 04.2024

Copyright: © 2024 This is an open access article under the terms of the CC-BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

K EYWORDS . Fra cture, GTN model, AM, ANN, Hidden layers.

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