Particulate-reinforced iron-based metal matrix composites fabricated by selective laser melting: A systematic review

Y Fang, MK Kim, Y Zhang, Z Duan, Q Yuan… - Journal of Manufacturing …, 2022 - Elsevier
Nowadays, many fields are benefiting from manufacturing complex parts with high
performance by selective laser melting (SLM), and particulate-reinforced iron-based metal …

Dynamics of pore formation during laser powder bed fusion additive manufacturing

AA Martin, NP Calta, SA Khairallah, J Wang… - Nature …, 2019 - nature.com
Laser powder bed fusion additive manufacturing is an emerging 3D printing technique for
the fabrication of advanced metal components. Widespread adoption of it and similar …

Machine learning-based image processing for on-line defect recognition in additive manufacturing

A Caggiano, J Zhang, V Alfieri, F Caiazzo, R Gao… - CIRP annals, 2019 - Elsevier
A machine learning approach for on-line fault recognition via automatic image processing is
developed to timely identify material defects due to process non-conformities in Selective …

In-situ characterization and quantification of melt pool variation under constant input energy density in laser powder bed fusion additive manufacturing process

Q Guo, C Zhao, M Qu, L Xiong, LI Escano… - Additive …, 2019 - Elsevier
Size and shape of a melt pool play a critical role in determining the microstructure in
additively manufactured metals. However, it is very challenging to directly characterize the …

A Review of In Situ Defect Detection and Monitoring Technologies in Selective Laser Melting

X Peng, L Kong, H An, G Dong - 3D printing and additive …, 2023 - liebertpub.com
The additive manufacturing (AM) technique has received considerable industrial attention,
as it is capable of producing complex functional parts in the aerospace and defense …

[HTML][HTML] A comparative study of water and gas atomized low alloy steel powders for additive manufacturing

T Fedina, J Sundqvist, J Powell, AFH Kaplan - Additive Manufacturing, 2020 - Elsevier
This work reports a study of the differences between laser processing of water and gas
atomized low alloy steel powders with a focus on powder behavior and performance in …

Numerical investigation of thermal behavior and melt pool morphology in multi-track multi-layer selective laser melting of the 316L steel

S Waqar, Q Sun, J Liu, K Guo, J Sun - The International Journal of …, 2021 - Springer
Rapid melting and solidification of powder particles through a high-power laser is the
characteristic feature of selective laser melting (SLM), which controls the material and …

Influence of thermal properties on residual stresses in SLM of aerospace alloys

M Yakout, MA Elbestawi, SC Veldhuis… - Rapid Prototyping …, 2020 - emerald.com
Purpose Residual stresses are induced during selective laser melting (SLM) because of
rapid melting, solidification and build plate removal. This paper aims to examine the thermal …

In-situ monitoring and detection of spatter agglomeration and delamination during laser-based powder bed fusion of Invar 36

M Yakout, I Phillips, MA Elbestawi, Q Fang - Optics & Laser Technology, 2021 - Elsevier
Abstract Invar 36 (FeNi36) is a weldable nickel alloy, known for its low thermal expansion
properties, that contains 36% of nickel and 64% iron. The laser-based powder bed fusion …

From scan strategy to melt pool prediction: A neighboring-effect modeling method

Z Yang, Y Lu, H Yeung… - … of Computing and …, 2020 - asmedigitalcollection.asme.org
The quality of additive manufacturing (AM) built parts is highly correlated to the melt pool
characteristics. Hence, melt pool monitoring and control can potentially improve the AM part …