[HTML][HTML] Laser powder bed fusion: a state-of-the-art review of the technology, materials, properties & defects, and numerical modelling

S Chowdhury, N Yadaiah, C Prakash… - Journal of Materials …, 2022 - Elsevier
Additive Manufacturing (AM) has revolutionized the manufacturing industry in several
directions. Laser powder bed fusion (LPBF), a powder bed fusion AM process, has been …

[HTML][HTML] Research and application of machine learning for additive manufacturing

J Qin, F Hu, Y Liu, P Witherell, CCL Wang… - Additive …, 2022 - Elsevier
Additive manufacturing (AM) is poised to bring a revolution due to its unique production
paradigm. It offers the prospect of mass customization, flexible production, on-demand and …

Machine learning and deep learning based predictive quality in manufacturing: a systematic review

H Tercan, T Meisen - Journal of Intelligent Manufacturing, 2022 - Springer
With the ongoing digitization of the manufacturing industry and the ability to bring together
data from manufacturing processes and quality measurements, there is enormous potential …

[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 …

A survey on AI-driven digital twins in industry 4.0: Smart manufacturing and advanced robotics

Z Huang, Y Shen, J Li, M Fey, C Brecher - Sensors, 2021 - mdpi.com
Digital twin (DT) and artificial intelligence (AI) technologies have grown rapidly in recent
years and are considered by both academia and industry to be key enablers for Industry 4.0 …

[HTML][HTML] Alloy design via additive manufacturing: Advantages, challenges, applications and perspectives

A Bandyopadhyay, KD Traxel, M Lang, M Juhasz… - Materials Today, 2022 - Elsevier
Additive manufacturing (AM) has rapidly changed both large-and small-scale production
environments across many industries. By re-envisioning parts from the ground up, not …

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 …

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 …

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 …

Intelligent additive manufacturing and design: state of the art and future perspectives

Y **ong, Y Tang, Q Zhou, Y Ma, DW Rosen - Additive Manufacturing, 2022 - Elsevier
In additive manufacturing (AM), intelligent technologies are proving to be a powerful tool for
facilitating economic, efficient, and effective decision-making within the product and service …