[HTML][HTML] Big data, machine learning, and digital twin assisted additive manufacturing: A review
Additive manufacturing (AM) has undergone significant development over the past decades,
resulting in vast amounts of data that carry valuable information. Numerous research studies …
resulting in vast amounts of data that carry valuable information. Numerous research studies …
Revolutionizing manufacturing: A comprehensive overview of additive manufacturing processes, materials, developments, and challenges
K Kanishka, B Acherjee - Journal of Manufacturing Processes, 2023 - Elsevier
Additive manufacturing (AM) technology has revolutionized the way goods are developed
and produced, with numerous uses in aerospace, automotive, medical, and consumer …
and produced, with numerous uses in aerospace, automotive, medical, and consumer …
Machine learning assisted prediction and optimization of mechanical properties for laser powder bed fusion of Ti6Al4V alloy
Due to the complex physical metallurgy phenomena and enormous parameter combination,
the traditional trial-and-error method makes the microstructure tailoring of laser additive …
the traditional trial-and-error method makes the microstructure tailoring of laser additive …
[HTML][HTML] Machine learning and mixed reality for smart aviation: Applications and challenges
Y Jiang, TH Tran, L Williams - Journal of Air Transport Management, 2023 - Elsevier
The aviation industry is a dynamic and ever-evolving sector. As technology advances and
becomes more sophisticated, the aviation industry must keep up with the changing trends …
becomes more sophisticated, the aviation industry must keep up with the changing trends …
[HTML][HTML] A review of AI for optimization of 3D printing of sustainable polymers and composites
In recent years, 3D printing has experienced significant growth in the manufacturing sector
due to its ability to produce intricate and customized components. The advent of Industry 4.0 …
due to its ability to produce intricate and customized components. The advent of Industry 4.0 …
Prediction and optimization of 3D-printed sandwich beams with chiral cores
S Kamarian, A Khalvandi, E Heidarizadi… - International Journal of …, 2024 - Elsevier
This study pursues two primary objectives concerning sandwich structures with chiral cores.
Firstly, it delves into the realm of machine learning-assisted predictions regarding the …
Firstly, it delves into the realm of machine learning-assisted predictions regarding the …
Out-of-order execution enabled deep reinforcement learning for dynamic additive manufacturing scheduling
Additive Manufacturing (AM) has revolutionized the production landscape by enabling on-
demand customized manufacturing. However, the efficient management of dynamic AM …
demand customized manufacturing. However, the efficient management of dynamic AM …
Deep learning-based framework for the observation of real-time melt pool and detection of anomaly in wire-arc additive manufacturing
Object detection has become a popular tool of deep learning in the era of digital
manufacturing. In this study, the most powerful and efficient object detection algorithm, ie …
manufacturing. In this study, the most powerful and efficient object detection algorithm, ie …
Superior mechanical properties of Invar36 alloy lattices structures manufactured by laser powder bed fusion
Invar36 alloy is a low expansion alloy, and the triply periodic minimal surfaces (TPMS)
structures have excellent lightweight, high energy absorption capacity and superior thermal …
structures have excellent lightweight, high energy absorption capacity and superior thermal …
Advancing additive manufacturing through deep learning: A comprehensive review of current progress and future challenges
This paper presents the first comprehensive literature review of deep learning (DL)
applications in additive manufacturing (AM). It addresses the need for a thorough analysis in …
applications in additive manufacturing (AM). It addresses the need for a thorough analysis in …