High deposition rate powder-and wire-based laser directed energy deposition of metallic materials: A review

Z Li, S Sui, X Ma, H Tan, C Zhong, G Bi, AT Clare… - International Journal of …, 2022 - Elsevier
High deposition rate laser directed energy deposition (HDR-DED) technology, including
powder-and wire-based laser directed energy deposition, has emerged recently to fulfil the …

[HTML][HTML] Holistic computational design within additive manufacturing through topology optimization combined with multiphysics multi-scale materials and process …

M Bayat, O Zinovieva, F Ferrari, C Ayas… - Progress in Materials …, 2023 - Elsevier
Additive manufacturing (AM) processes have proven to be a perfect match for topology
optimization (TO), as they are able to realize sophisticated geometries in a unique layer-by …

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 …

On the application of in-situ monitoring systems and machine learning algorithms for developing quality assurance platforms in laser powder bed fusion: A review

K Taherkhani, O Ero, F Liravi, S Toorandaz… - Journal of Manufacturing …, 2023 - Elsevier
Laser powder bed fusion (LPBF) is one class of metal additive manufacturing (AM) used to
fabricate high-quality complex-shape components. This technology has significantly …

[HTML][HTML] Optimizing in-situ monitoring for laser powder bed fusion process: Deciphering acoustic emission and sensor sensitivity with explainable machine learning

V Pandiyan, R Wróbel, C Leinenbach… - Journal of Materials …, 2023 - Elsevier
Abstract Metal-based Laser Powder Bed Fusion (LPBF) has made fabricating intricate
components easier. Yet, assessing part quality is inefficient, relying on costly Computed …

Harmonizing sound and light: X-ray imaging unveils acoustic signatures of stochastic inter-regime instabilities during laser melting

M Hamidi Nasab, G Masinelli, C de Formanoir… - Nature …, 2023 - nature.com
Laser powder bed fusion (LPBF) is a metal additive manufacturing technique involving
complex interplays between vapor, liquid, and solid phases. Despite LPBF's advantageous …

[HTML][HTML] Healing of keyhole porosity by means of defocused laser beam remelting: Operando observation by X-ray imaging and acoustic emission-based detection

C de Formanoir, MH Nasab, L Schlenger… - Additive …, 2024 - Elsevier
One of the remaining challenges in Laser Powder Bed Fusion (LPBF) of metals is the control
of the formation of keyhole pores, resulting from a local excessive energy input during …

Scalable in situ non-destructive evaluation of additively manufactured components using process monitoring, sensor fusion, and machine learning

Z Snow, L Scime, A Ziabari, B Fisher, V Paquit - Additive Manufacturing, 2023 - Elsevier
Abstract Laser Powder Bed Fusion (L-PBF) Additive Manufacturing (AM) is among the metal
3D printing technologies most broadly adopted by the manufacturing industry. However, the …

[HTML][HTML] Anomaly detection in laser powder bed fusion using machine learning: A review

T Sahar, M Rauf, A Murtaza, LA Khan, H Ayub… - Results in …, 2023 - Elsevier
Abstract Metal Additive Manufacturing (MAM) applications are growing rapidly in high-tech
industries such as biomedical and aerospace, and in many other industries including …