[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 …

When AI meets additive manufacturing: Challenges and emerging opportunities for human-centered products development

C Liu, W Tian, C Kan - Journal of Manufacturing Systems, 2022 - Elsevier
Nowadays, additive manufacturing (AM) has been increasingly leveraged to produce human-
centered products, such as orthoses and prostheses as well as therapeutic helmets, finger …

[HTML][HTML] Application of artificial intelligence in 3D printing physical organ models

L Ma, S Yu, X Xu, SM Amadi, J Zhang, Z Wang - Materials Today Bio, 2023 - Elsevier
Artificial intelligence (AI) and 3D printing will become technologies that profoundly impact
humanity. 3D printing of patient-specific organ models is expected to replace animal …

Using machine learning to predict dimensions and qualify diverse part designs across multiple additive machines and materials

DJ McGregor, MV Bimrose, C Shao, S Tawfick… - Additive …, 2022 - Elsevier
One of the most critical decisions in a factory is whether to accept or reject manufactured
parts, where the acceptance criteria usually includes part geometry and the presence of …

Learning and predicting shape deviations of smooth and non-smooth 3d geometries through mathematical decomposition of additive manufacturing

Y Wang, C Ruiz, Q Huang - IEEE Transactions on Automation …, 2022 - ieeexplore.ieee.org
In additive manufacturing (AM), final product geometries are often deformed or distorted. The
deviations of three-dimensional (3D) shapes from their intended designs can be …

Predicting part distortion field in additive manufacturing: a data-driven framework

O Aljarrah, J Li, A Heryudono, W Huang, J Bi - Journal of Intelligent …, 2023 - Springer
The underlying complicated spatiotemporal thermo-mechanical processes in additive
manufacturing (AM) technology pose challenges in predicting and optimizing the as-built …

Hierarchical data models improve the accuracy of feature level predictions for additively manufactured parts

Y Yang, DJ McGregor, S Tawfick, WP King… - Additive Manufacturing, 2022 - Elsevier
Industrial-scale production applications of additive manufacturing (AM) are growing rapidly,
and scalable AM production requires quality systems that monitor and control part geometric …

Application of artificial intelligence in additive manufacturing

S Gu, M Choi, H Park, S Jeong, J Doh, S Park - JMST Advances, 2023 - Springer
Over the past decade, additive manufacturing (AM) technology has made significant strides
and found diverse applications across sectors like healthcare, aerospace, and construction …

Cross-section geometry prediction for laser metal deposition layer-based on multi-mode convolutional neural network and multi-sensor data fusion

F Dong, L Kong, H Wang, Y Chen, X Liang - Journal of Manufacturing …, 2023 - Elsevier
Laser metal deposition (LMD), a widely used additive manufacturing technology for
materials, can produce complex parts with excellent mechanical properties. However, it …

Assembly-free design for additive manufacturing of articulated components based on layered precision assignment

J Xu, H Sheng, J Zhan, S Zhang… - International Journal of …, 2022 - Taylor & Francis
This paper presents an assembly-free design method for additive manufacturing (AM) of
articulated components based on layered precision assignment (LPA). The articulated …