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 …

Additively manufactured materials and structures: A state-of-the-art review on their mechanical characteristics and energy absorption

Y Wu, J Fang, C Wu, C Li, G Sun, Q Li - International Journal of Mechanical …, 2023 - Elsevier
Lightweight materials and structures have been extensively studied for a wide range of
applications in design and manufacturing of more environment-friendly and more …

[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 …

A review on machine learning in 3D printing: applications, potential, and challenges

GD Goh, SL Sing, WY Yeong - Artificial Intelligence Review, 2021 - Springer
Additive manufacturing (AM) or 3D printing is growing rapidly in the manufacturing industry
and has gained a lot of attention from various fields owing to its ability to fabricate parts with …

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] A review on voids of 3D printed parts by fused filament fabrication

Y Tao, F Kong, Z Li, J Zhang, X Zhao, Q Yin… - Journal of Materials …, 2021 - Elsevier
Fused filament fabrication (FFF), also known as fused deposition modeling (FDM™), is
considered one of the most promising additive manufacturing (AM) methods for its versatility …

[HTML][HTML] A review of industrial big data for decision making in intelligent manufacturing

C Li, Y Chen, Y Shang - … Science and Technology, an International Journal, 2022 - Elsevier
Under the trend of economic globalization, intelligent manufacturing has attracted a lot of
attention from academic and industry. Related enabling technologies make manufacturing …

Agricultural databases evaluation with machine learning procedure

M Amini, A Rahmani - … Journal of Engineering and Applied Science, 2023 - papers.ssrn.com
This paper reviews our experience with the application of machine learning techniques to
agricultural databases. W e have designed and implemented a machine learning …

[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 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 …