[HTML][HTML] Laser powder bed fusion: a state-of-the-art review of the technology, materials, properties & defects, and numerical modelling

S Chowdhury, N Yadaiah, C Prakash… - Journal of Materials …, 2022 - Elsevier
Additive Manufacturing (AM) has revolutionized the manufacturing industry in several
directions. Laser powder bed fusion (LPBF), a powder bed fusion AM process, has been …

Review on the correlation between microstructure and mechanical performance for laser powder bed fusion AlSi10Mg

L Zhao, L Song, JGS Macías, Y Zhu, M Huang… - Additive …, 2022 - Elsevier
As important structural materials widely used in aerospace and automotive industries,
aluminum alloys are perfect candidates for development of laser metal additive …

Role of porosity defects in metal 3D printing: Formation mechanisms, impacts on properties and mitigation strategies

S Wang, J Ning, L Zhu, Z Yang, W Yan, Y Dun, P Xue… - Materials Today, 2022 - Elsevier
Abstract Metal 3D printing (3DP), a state-of-the-art manufacturing technology that brings the
potential to fabricate complex structures at low cost and reduced energy consumption, has …

[HTML][HTML] 金属增材制造若干关键力学问题研究进展

廉艳平, 王潘丁, 高杰, 刘继凯, 李取浩, 刘长猛… - 力学进展, 2021 - lxjz.cstam.org.cn
金属增材制造是一种兼顾复杂结构和高性能构件成形需求的颠覆性制造技术, 在航空, 航天,
交通, 核电等领域具有广阔的应用前景和发展空间. 该技术大规模推广应用所面临的制造效率和 …

Achieving ultrahigh fatigue resistance in AlSi10Mg alloy by additive manufacturing

C Dan, Y Cui, Y Wu, Z Chen, H Liu, G Ji, Y Xiao… - Nature materials, 2023 - nature.com
Since the first discovery of the fatigue phenomenon in the late 1830s, efforts to fight against
fatigue failure have continued. Here we report a fatigue resistance phenomenon in nano …

The potency of defects on fatigue of additively manufactured metals

X Peng, S Wu, W Qian, J Bao, Y Hu, Z Zhan… - International Journal of …, 2022 - Elsevier
Given their preponderance and propensity to initiate fatigue cracks, understanding the effect
of processing defects on fatigue life is a significant step towards the wider application of …

[HTML][HTML] A defect-based physics-informed machine learning framework for fatigue finite life prediction in additive manufacturing

E Salvati, A Tognan, L Laurenti, M Pelegatti… - Materials & Design, 2022 - Elsevier
Defects in additively manufactured materials are one of the leading sources of uncertainty in
mechanical fatigue. Fracture mechanics concepts are useful to evaluate their influence …

Structural integrity issues of additively manufactured railway components: Progress and challenges

Z Wu, S Wu, W Qian, H Zhang, H Zhu, Q Chen… - Engineering Failure …, 2023 - Elsevier
Additive manufacturing (AM) is being increasingly applied in aerospace, healthcare,
automotive, and energy fields. Despite good design flexibility, short lead times, and high …

A physics-informed neural network for creep-fatigue life prediction of components at elevated temperatures

XC Zhang, JG Gong, FZ Xuan - Engineering Fracture Mechanics, 2021 - Elsevier
Physics-informed neural network has strong generalization ability for small dataset, due to
the inclusion of underlying physical knowledge. Two strategies are enforced to incorporate …

Structural integrity of additively manufactured aluminum alloys: Effects of build orientation on microstructure, porosity, and fatigue behavior

PD Nezhadfar, S Thompson, A Saharan, N Phan… - Additive …, 2021 - Elsevier
The use of aluminum (Al) alloys for additive manufacturing (AM) has recently gained
significant attention, specifically in the aerospace industry. This has been resulting in …