A Process-Structure-Property Simulation Framework for Quantifying Uncertainty in Additive Manufacturing: Application to Fatigue in Ti-6Al-4V
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s40192-023-00303-9.pdf
Reference99 articles.
1. Mahadevan S, Nath P, Hu Z (2022) Uncertainty quantification for additive manufacturing process improvement: recent advances. ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Eng 8(1):010801. https://doi.org/10.1115/1.4053184
2. Yadollahi A, Shamsaei N (2017) Additive manufacturing of fatigue resistant materials: challenges and opportunities. Int J Fatigue 98:14–31. https://doi.org/10.1016/j.ijfatigue.2017.01.001
3. Seifi M, Gorelik M, Waller J, Hrabe N, Shamsaei N, Daniewicz S et al (2017) Progress towards metal additive manufacturing standardization to support qualification and certification. JOM 69(3):439–455. https://doi.org/10.1007/s11837-017-2265-2
4. Li P, Warner DH, Fatemi A, Phan N (2016) Critical assessment of the fatigue performance of additively manufactured Ti–6Al–4V and perspective for future research. Int J Fatigue 85:130–143. https://doi.org/10.1016/j.ijfatigue.2015.12.003
5. Additive manufacturing requirements for spaceflight systems. In: National aeronautics and space administration (2021). NASA Technical Standard 6030
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