Machine learning for alloys

GLW Hart, T Mueller, C Toher, S Curtarolo - Nature Reviews Materials, 2021 - nature.com
Alloy modelling has a history of machine-learning-like approaches, preceding the tide of
data-science-inspired work. The dawn of computational databases has made the integration …

Laser powder bed fusion additive manufacturing of NiTi shape memory alloys: a review

S Wei, J Zhang, L Zhang, Y Zhang… - … Journal of Extreme …, 2023 - iopscience.iop.org
NiTi alloys have drawn significant attentions in biomedical and aerospace fields due to their
unique shape memory effect (SME), superelasticity (SE), dam** characteristics, high …

Laser subtractive and laser powder bed fusion of metals: Review of process and production features

M Khorasani, I Gibson, AH Ghasemi… - Rapid Prototy** …, 2023 - emerald.com
Purpose The purpose of this study is, to compare laser-based additive manufacturing and
subtractive methods. Laser-based manufacturing is a widely used, noncontact, advanced …

Controlling martensitic transformation characteristics in defect-free NiTi shape memory alloys fabricated using laser powder bed fusion and a process optimization …

L Xue, KC Atli, S Picak, C Zhang, B Zhang, A Elwany… - Acta Materialia, 2021 - Elsevier
Abstract Laser Powder Bed Fusion (L-PBF) was utilized to fabricate fully dense, near-
equiatomic (Ni 50.1 Ti 49.9) and Ni-rich NiTi (Ni 50.8 Ti 49.2) shape memory alloy (SMA) …

A review of the multi-dimensional application of machine learning to improve the integrated intelligence of laser powder bed fusion

K Li, R Ma, Y Qin, N Gong, J Wu, P Wen, S Tan… - Journal of Materials …, 2023 - Elsevier
Laser powder bed fusion (LPBF) as one of the most promising additive manufacturing (AM)
technologies, has been widely used to produce metal parts and applied in fields such as …

[HTML][HTML] Additive manufacturing of shape memory alloys: A review with emphasis on powder bed systems

AN Alagha, S Hussain, W Zaki - Materials & Design, 2021 - Elsevier
The ability of shape memory alloys (SMAs) to recover inelastic strains larger than any other
metallic alloy has prompted their use in a wide range of applications. However, for the most …

A systematic literature review on recent trends of machine learning applications in additive manufacturing

MD Xames, FK Torsha, F Sarwar - Journal of Intelligent Manufacturing, 2023 - Springer
Additive manufacturing (AM) offers the advantage of producing complex parts more
efficiently and in a lesser production cycle time as compared to conventional subtractive …

An ultra-high strength martensitic steel fabricated using selective laser melting additive manufacturing: Densification, microstructure, and mechanical properties

R Seede, D Shoukr, B Zhang, A Whitt, S Gibbons… - Acta Materialia, 2020 - Elsevier
Martensitic steels have gained renewed interest recently for their use in automotive,
aerospace, and defense applications due to their ultra-high yield strengths and reasonable …

Additive manufacturing of NiTi shape memory alloy for biomedical applications: review of the LPBF process ecosystem

K Safaei, H Abedi, M Nematollahi, F Kordizadeh… - Jom, 2021 - Springer
NiTi shape memory alloys (SMAs) are used in a broad range of biomedical applications
because of their unique properties including biocompatibility and high corrosion and wear …

Assessing printability maps in additive manufacturing of metal alloys

L Johnson, M Mahmoudi, B Zhang, R Seede, X Huang… - Acta Materialia, 2019 - Elsevier
We propose a methodology for predicting the printability of an alloy, subject to laser powder
bed fusion additive manufacturing. Regions in the process space associated with keyhole …