Control of grain structure, phases, and defects in additive manufacturing of high-performance metallic components

T Mukherjee, JW Elmer, HL Wei, TJ Lienert… - Progress in Materials …, 2023 - Elsevier
The properties and serviceability of 3D-printed metal parts depend on a variety of attributes.
These include the chemical composition, phases, morphology, spatial distributions of grain …

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 high-tech fields like aerospace and biomedical
engineering. Laser additive manufacturing (LAM), as an innovative technology, is the key …

In-situ crack and keyhole pore detection in laser directed energy deposition through acoustic signal and deep learning

L Chen, X Yao, C Tan, W He, J Su, F Weng… - Additive …, 2023 - Elsevier
Cracks and keyhole pores are detrimental defects in alloys produced by laser directed
energy deposition (LDED). Laser-material interaction sound may hold information about …

Multisensor fusion-based digital twin for localized quality prediction in robotic laser-directed energy deposition

L Chen, G Bi, X Yao, C Tan, J Su, NPH Ng… - Robotics and Computer …, 2023 - Elsevier
Early detection of defects, such as keyhole pores and cracks is crucial in laser-directed
energy deposition (L-DED) additive manufacturing (AM) to prevent build failures. However …

Process-structure multi-objective inverse optimisation for additive manufacturing of lattice structures using a physics-enhanced data-driven method

K Shi, D Gu, H Liu, Y Chen, K Lin - Virtual and Physical Prototyping, 2023 - Taylor & Francis
Additive manufacturing (AM) has become a practical solution for fabricating lightweight and
high-strength metallic lattice structures. The inverse optimisation of process-structure …

Deep learning-based data registration of melt-pool-monitoring images for laser powder bed fusion additive manufacturing

J Kim, Z Yang, H Ko, H Cho, Y Lu - Journal of Manufacturing Systems, 2023 - Elsevier
Melt-pool monitoring (MPM) has been widely used in the laser powder bed fusion (LPBF)
additive manufacturing process for process control and part quality prediction. Achieving this …

[HTML][HTML] Investigation of the grain deformation to orthogonal cutting process of the textured Alloy 718 fabricated by laser powder bed fusion

L Li, H Chen, Z Liao, Y Yang, D Axinte - International Journal of Machine …, 2023 - Elsevier
In the laser powder bed fusion (LPBF), the grains grow in preferential directions depending
on the scanning strategies, which results in layer-by-layer builds of particular …

Achieving superelastic shape recoverability in smart flexible CuAlMn metamaterials via 3D printing

D Zheng, R Li, J Kang, M Luo, T Yuan, C Han - International Journal of …, 2024 - Elsevier
Despite the remarkable advancements in the additive manufacturing of metamaterials,
tradeoffs remain between functionality and mechanical performance owning to static …

[HTML][HTML] Exploring the integration of digital twin and additive manufacturing technologies

N Jyeniskhan, K Shomenov, MH Ali… - International Journal of …, 2024 - Elsevier
This paper offers a comprehensive overview of recent advancements in digital twin
technology applied to additive manufacturing (AM), focusing on recent research trends …

[HTML][HTML] Towards material and process agnostic features for the classification of pore types in metal additive manufacturing

M Vandecasteele, R Heylen, D Iuso, A Thanki… - Materials & Design, 2023 - Elsevier
The manufacturing of metal parts via powder-bed fusion is often still facing quality issues
due to microstructural porosity. Minimizing this porosity remains a priority and requires the …