[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 in additive manufacturing: State-of-the-art and perspectives

C Wang, XP Tan, SB Tor, CS Lim - Additive Manufacturing, 2020 - Elsevier
Additive manufacturing (AM) has emerged as a disruptive digital manufacturing technology.
However, its broad adoption in industry is still hindered by high entry barriers of design for …

[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 …

Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm

S Guo, M Agarwal, C Cooper, Q Tian, RX Gao… - Journal of Manufacturing …, 2022 - Elsevier
Abstract Machine learning (ML) has shown to be an effective alternative to physical models
for quality prediction and process optimization of metal additive manufacturing (AM) …

Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control

S Kumar, T Gopi, N Harikeerthana, MK Gupta… - Journal of Intelligent …, 2023 - Springer
For several industries, the traditional manufacturing processes are time-consuming and
uneconomical due to the absence of the right tool to produce the products. In a couple of …

Machine learning in additive manufacturing: a review

L Meng, B McWilliams, W Jarosinski, HY Park, YG Jung… - Jom, 2020 - Springer
In this review article, the latest applications of machine learning (ML) in the additive
manufacturing (AM) field are reviewed. These applications, such as parameter optimization …

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 …

[HTML][HTML] Applying neural-network-based machine learning to additive manufacturing: current applications, challenges, and future perspectives

X Qi, G Chen, Y Li, X Cheng, C Li - Engineering, 2019 - Elsevier
Additive manufacturing (AM), also known as three-dimensional printing, is gaining
increasing attention from academia and industry due to the unique advantages it has in …

Machine vision intelligence for product defect inspection based on deep learning and Hough transform

J Wang, P Fu, RX Gao - Journal of Manufacturing Systems, 2019 - Elsevier
Abstract Machine vision based product inspection methods have been widely investigated to
improve product quality and reduce labour costs. Recent advancement in deep learning …

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 …