[HTML][HTML] In-situ sensing, process monitoring and machine control in Laser Powder Bed Fusion: A review

R McCann, MA Obeidi, C Hughes, É McCarthy… - Additive …, 2021 - Elsevier
Process monitoring and sensing is widely used across many industries for quality
assurance, and for increasing machine uptime and reliability. Though still in the emergent …

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 algorithms for defect detection in metal laser-based additive manufacturing: A review

Y Fu, ARJ Downey, L Yuan, T Zhang, A Pratt… - Journal of Manufacturing …, 2022 - Elsevier
Laser-based additive manufacturing (LBAM), a series of additive manufacturing
technologies, has unrivaled advantages due to its design freedom to manufacture complex …

[HTML][HTML] Big data, machine learning, and digital twin assisted additive manufacturing: A review

L **, X Zhai, K Wang, K Zhang, D Wu, A Nazir, J Jiang… - Materials & Design, 2024 - Elsevier
Additive manufacturing (AM) has undergone significant development over the past decades,
resulting in vast amounts of data that carry valuable information. Numerous research studies …

Perspectives of using machine learning in laser powder bed fusion for metal additive manufacturing

SL Sing, CN Kuo, CT Shih, CC Ho… - Virtual and Physical …, 2021 - Taylor & Francis
The adoption of laser powder bed fusion (L-PBF) for metals by the industry has been limited
despite the significant progress made in the development of the process chain. One of the …

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 …

A systematic literature review on recent trends of machine learning applications in additive manufacturing

MD Xames, FK Torsha, F Sarwar - Journal of Intelligent Manufacturing, 2023 - Springer
Additive manufacturing (AM) offers the advantage of producing complex parts more
efficiently and in a lesser production cycle time as compared to conventional subtractive …

Alloy design for laser powder bed fusion additive manufacturing: a critical review

Z Liu, Q Zhou, X Liang, X Wang, G Li… - … Journal of Extreme …, 2024 - iopscience.iop.org
Metal additive manufacturing (AM) has been extensively studied in recent decades. Despite
the significant progress achieved in manufacturing complex shapes and structures …

Optimization with artificial intelligence in additive manufacturing: a systematic review

F Ciccone, A Bacciaglia, A Ceruti - Journal of the Brazilian Society of …, 2023 - Springer
In situations requiring high levels of customization and limited production volumes, additive
manufacturing (AM) is a frequently utilized technique with several benefits. To properly …

Microhardness and wear resistance in materials manufactured by laser powder bed fusion: Machine learning approach for property prediction

GO Barrionuevo, M Walczak, J Ramos-Grez… - CIRP Journal of …, 2023 - Elsevier
Laser-based powder bed fusion (LPBF) technology is one of the most applied additive
manufacturing processes owing to, among others, its capacity of producing parts with …