Research on parameter identification of fracture model for titanium alloy under wide stress triaxiality based on machine learning
Author:
Funder
National Natural Science Foundation of China
Aviation Engine Independent Innovation Special Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40436-024-00487-z.pdf
Reference32 articles.
1. Zhao YQ, Sun QY, Xin SW et al (2022) High-strength titanium alloys for aerospace engineering applications: a review on melting-forging process. Mater Sci Eng A 845:143260. https://doi.org/10.1016/j.msea.2022.143260
2. Shen Xh, Yao CF, Tan L et al (2023) Prediction model of surface integrity characteristics in ball end milling TC17 titanium alloy. Adv Manuf 11:541–565
3. Chen JY, Liu DH, Jin TY et al (2023) A novel bionic micro-textured tool with the function of directional cutting-fluid transport for cutting titanium alloy. J Mater Process Technol 311:117816. https://doi.org/10.1016/j.jmatprotec.2022.117816
4. Mohr D, Marcadet S (2015) Micromechanically-motivated phenomenological Hosford-Coulomb model for predicting ductile fracture initiation at low stress triaxialities. Int J Solids Struct 67/68:40–55
5. Weck A, Wilkinson DS, Maire E et al (2008) Visualization by X-ray tomography of void growth and coalescence leading to fracture in model materials. Acta Mater 56(12):2919–2928
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