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 …

Machine learning in manufacturing and industry 4.0 applications

R Rai, MK Tiwari, D Ivanov, A Dolgui - International Journal of …, 2021 - Taylor & Francis
The machine learning (ML) field has deeply impacted the manufacturing industry in the
context of the Industry 4.0 paradigm. The industry 4.0 paradigm encourages the usage of …

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 …

[HTML][HTML] Machine learning in predicting mechanical behavior of additively manufactured parts

S Nasiri, MR Khosravani - Journal of materials research and technology, 2021 - Elsevier
Although applications of additive manufacturing (AM) have been significantly increased in
recent years, its broad application in several industries is still under progress. AM also …

Machine learning‐driven biomaterials evolution

A Suwardi, FK Wang, K Xue, MY Han, P Teo… - Advanced …, 2022 - Wiley Online Library
Biomaterials is an exciting and dynamic field, which uses a collection of diverse materials to
achieve desired biological responses. While there is constant evolution and innovation in …

Artificial neural network algorithms for 3D printing

MA Mahmood, AI Visan, C Ristoscu, IN Mihailescu - Materials, 2020 - mdpi.com
Additive manufacturing with an emphasis on 3D printing has recently become popular due
to its exceptional advantages over conventional manufacturing processes. However, 3D …

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

L Jin, 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 …

Stress field prediction in cantilevered structures using convolutional neural networks

Z Nie, H Jiang, LB Kara - … of Computing and …, 2020 - asmedigitalcollection.asme.org
The demand for fast and accurate structural analysis is becoming increasingly more
prevalent with the advance of generative design and topology optimization technologies. As …

[HTML][HTML] 3D printing of biodegradable polymers and their composites–Current state-of-the-art, properties, applications, and machine learning for potential future …

SAV Dananjaya, VS Chevali, JP Dear, P Potluri… - Progress in Materials …, 2024 - Elsevier
This review paper comprehensively examines the dynamic landscape of 3D printing and
Machine Learning utilizing biodegradable polymers and their composites, presenting a …