In-situ monitoring of sub-surface and internal defects in additive manufacturing: A review

Y AbouelNour, N Gupta - Materials & Design, 2022 - Elsevier
Abstract Additive Manufacturing (AM), or 3D printing, processes depend on a user-defined
set of optimized process parameters to create a component. Monitoring and control of AM …

Emerging metallic systems for additive manufacturing: In-situ alloying and multi-metal processing in laser powder bed fusion

SL Sing, S Huang, GD Goh, GL Goh, CF Tey… - Progress in Materials …, 2021 - Elsevier
While significant progress has been made in understanding laser powder bed fusion (L-
PBF) as well as the fabrication of various materials using this technology, there is still limited …

Machine learning–aided real-time detection of keyhole pore generation in laser powder bed fusion

Z Ren, L Gao, SJ Clark, K Fezzaa, P Shevchenko… - Science, 2023 - science.org
Porosity defects are currently a major factor that hinders the widespread adoption of laser-
based metal additive manufacturing technologies. One common porosity occurs when an …

In-situ measurement and monitoring methods for metal powder bed fusion: an updated review

M Grasso, A Remani, A Dickins… - Measurement …, 2021 - iopscience.iop.org
The possibility of using a variety of sensor signals acquired during metal powder bed fusion
processes, to support part and process qualification and for the early detection of anomalies …

On the application of in-situ monitoring systems and machine learning algorithms for develo** 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] Fluid and particle dynamics in laser powder bed fusion

P Bidare, I Bitharas, RM Ward, MM Attallah, AJ Moore - Acta Materialia, 2018 - Elsevier
In this work, we employ a combination of high-speed imaging and schlieren imaging, as well
as multiphysics modelling, to elucidate the effects of the interaction between the laser beam …

Transient dynamics of powder spattering in laser powder bed fusion additive manufacturing process revealed by in-situ high-speed high-energy x-ray imaging

Q Guo, C Zhao, LI Escano, Z Young, L **ong, K Fezzaa… - Acta Materialia, 2018 - Elsevier
Powder spattering is a major cause of defect formation and quality uncertainty in the laser
powder bed fusion (LPBF) additive manufacturing (AM) process. It is very difficult to …

Process modeling in laser powder bed fusion towards defect detection and quality control via machine learning: The state-of-the-art and research challenges

P Wang, Y Yang, NS Moghaddam - Journal of Manufacturing Processes, 2022 - Elsevier
In recent years, machine learning (ML) techniques have been extensively investigated to
strengthen the understanding of the complex process dynamics underlying metal additive …

Geometrical metrology for metal additive manufacturing

RK Leach, D Bourell, S Carmignato, A Donmez… - CIRP annals, 2019 - Elsevier
The needs, requirements, and on-going and future research issues in geometrical metrology
for metal additive manufacturing are addressed. The infrastructure under development for …

Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring

Y Zhang, GS Hong, D Ye, K Zhu, JYH Fuh - Materials & Design, 2018 - Elsevier
With the continuous development of additive manufacturing technique, the issue on built
quality has caught increasing attentions. To improve the quality of built parts, the process …