Predictive Modeling of Fracture Behavior in Ti6Al4V Alloys Manufactured by SLM Process

Mohsen Sarparast; Majid Shafaie; Mohammad Davoodi; Ahmad Memaran Babakan; Hongyan Zhang

doi:10.3221/IGF-ESIS.68.23

Predictive Modeling of Fracture Behavior in Ti6Al4V Alloys Manufactured by SLM Process

Authors

Mohsen Sarparast Department of Mechanical, Industrial & Manufacturing Engineering, The University of Toledo, Toledo, OH, USA https://orcid.org/0000-0002-9159-8460
Majid Shafaie Department of Mechanical Engineering, Amirkabir University of Technology, Tehran, Iran. https://orcid.org/0000-0002-3140-5495
Mohammad Davoodi Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
Ahmad Memaran Babakan Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
Hongyan Zhang Department of Mechanical, Industrial & Manufacturing Engineering, The University of Toledo, Toledo, OH, USA

DOI:

https://doi.org/10.3221/IGF-ESIS.68.23

Keywords:

Fracture, GTN model, AM, ANN, Hidden layers

Abstract

This study focuses on ductile fracture behavior prediction for Ti6Al4V alloys fabricated via Selective Laser Melting (SLM). A modified Gurson-Tvergaard-Needleman (GTN) model characterizes void growth and shear mechanisms under uniaxial stress. The research explores the impact of Artificial Neural Network (ANN) architecture, specifically hidden layers and neurons, on predicting fracture parameters. Results reveal that increasing hidden layers substantially enhances accuracy, particularly for fracture displacement. Notably, predicting maximum force requires fewer layers than fracture displacement. Using selected layers and neurons, the system consistently achieved R²-values exceeding 0.99 for both maximum force and fracture displacement. The study identifies the initial void volume fraction (f₀) parameter as having the most significant influence on both properties.

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Published

10-03-2024

Issue

Vol. 18 No. 68 (2024): April 2024

Section

Fatigue and Fracture of metallic alloys

License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright
Authors are allowed to retain both the copyright and the publishing rights of their articles without restrictions.

Open Access Statement

Frattura ed Integrità Strutturale (Fracture and Structural Integrity, F&SI) is an open-access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author. This is in accordance with the DOAI definition of open access.

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How to Cite

Predictive Modeling of Fracture Behavior in Ti6Al4V Alloys Manufactured by SLM Process. (2024). Frattura Ed Integrità Strutturale, 18(68), 340-356. https://doi.org/10.3221/IGF-ESIS.68.23