[HTML][HTML] Towards load-bearing biomedical titanium-based alloys: From essential requirements to future developments

YW Cui, L Wang, LC Zhang - Progress in Materials Science, 2024 - Elsevier
The use of biomedical metallic materials in research and clinical applications has been an
important focus and a significant area of interest, primarily owing to their role in enhancing …

[HTML][HTML] Recent innovations in laser additive manufacturing of titanium alloys

J Su, F Jiang, J Teng, L Chen, M Yan… - … Journal of Extreme …, 2024 - iopscience.iop.org
Titanium (Ti) alloys are widely used in frontier fields like aerospace and biomedical
engineering. Laser additive manufacturing (LAM), as an innovative technology, is the key …

Artificial intelligence analysis of the sterilization effects on the mechanical properties of human cranial bones

IA Sadykova, ES Statnik, AV Marshintsev… - Materials Today …, 2023 - Elsevier
According to the literature, the patient's own (autologous) bone remains the optimal graft
material for cranioplasty. Autografts have an undoubted advantage over competing plastic …

Microstructural feature-driven machine learning for predicting mechanical tensile strength of laser powder bed fusion (L-PBF) additively manufactured Ti6Al4V alloy

H Wang, B Li, W Zhang, F Xuan - Engineering Fracture Mechanics, 2024 - Elsevier
The rapid solidification inherent in laser powder bed fusion (L-PBF) additive manufacturing
(AM) introduces segregation phenomena and formation of non-equilibrium phases in duplex …

[HTML][HTML] Development of a low-density and high-strength titanium alloy

S Zhu, C Zhu, D Luo, X Zhang, K Zhou - Metals, 2023 - mdpi.com
Weight reduction is often considered the primary goal in the development of structure
materials. A new Ti-8Al-1Cr-1V-0.5 Fe-0.1 Si (wt.%) alloy with a low-density and a high …

[HTML][HTML] Additive manufacturing-based combinatorial approach to improve bonding strength and heat transfer performance in wrought-cast Al compound casting

S Nam, D Park, Y Song, J Kim, C Jung, M Kim, S Kim… - Materials & Design, 2023 - Elsevier
We improved the interfacial bonding strength and heat transfer performance between
wrought and cast Al alloy parts by implementing an interfacial Al-Si-Zn-based alloy coating …

Framework for Incorporating Machine Learning (ML) Driven Optimisation into Laser Materials Processing (LMP) Technologies for e-Mobility Applications towards …

R Ndeda, A Botes, EO Olakanmi - Lasers in Manufacturing and Materials …, 2024 - Springer
Abstract Machine Learning (ML) plays a pivotal role in zero waste manufacture within
Industry 4.0. Novel materials requiring complex manufacturing processes such as laser …

Obtaining strength and ductility synergy for directed energy deposited Ti17 alloys by machine learning

J Chi, X Huang, D He, Y Wang, G Zhang, H Zhang… - Materials Letters, 2024 - Elsevier
Recently, obtaining a balance of tensile strength and ductility in direct energy deposited
(DED) titanium alloy components has been a major concern, which obstructs their further …