[HTML][HTML] Machine learning-assisted in-situ adaptive strategies for the control of defects and anomalies in metal additive manufacturing
In metal additive manufacturing (AM), the material microstructure and part geometry are
formed incrementally. Consequently, the resulting part could be defect-and anomaly-free if …
formed incrementally. Consequently, the resulting part could be defect-and anomaly-free if …
3D printing in materials manufacturing industry: A realm of Industry 4.0
Additive manufacturing (AM), also known as 3D printing, is a new manufacturing trend
showing promising progress over time in the era of Industry 4.0. So far, various research has …
showing promising progress over time in the era of Industry 4.0. So far, various research has …
Machine-learning-based monitoring and optimization of processing parameters in 3D printing
Additive manufacturing (AM), commonly known as 3D printing, is a rapidly growing
technology. Guaranteeing the quality and mechanical strength of printed parts is an active …
technology. Guaranteeing the quality and mechanical strength of printed parts is an active …
A tutorial on internet of behaviors: Concept, architecture, technology, applications, and challenges
Q Zhao, G Li, J Cai, MC Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
In his blogs of 2012, Dr. Göte Nyman coined Internet of Behaviors (IoB). In his idea, people's
behaviors are very good predictors of their needs, and hence technology companies can …
behaviors are very good predictors of their needs, and hence technology companies can …
[HTML][HTML] A survey on semantic communications: technologies, solutions, applications and challenges
Semantic Communication (SC) has emerged as a novel communication paradigm that
provides a receiver with meaningful information extracted from the source to maximize …
provides a receiver with meaningful information extracted from the source to maximize …
A Survey of Image-Based Fault Monitoring in Additive Manufacturing: Recent Developments and Future Directions
Additive manufacturing (AM) has emerged as a transformative technology for various
industries, enabling the production of complex and customized parts. However, ensuring the …
industries, enabling the production of complex and customized parts. However, ensuring the …
[HTML][HTML] Fabrication Information Modeling for Closed-Loop Design and Quality Improvement in Additive Manufacturing for construction
M Slepicka, A Borrmann - Automation in Construction, 2024 - Elsevier
Additive Manufacturing (AM) has emerged as a disruptive technology with the potential to
revolutionize the construction industry by integrating digital design with automated …
revolutionize the construction industry by integrating digital design with automated …
3D-AmplifAI: An ensemble machine learning approach to digital twin fault monitoring for additive manufacturing in smart factories
In the digital age, the digital twin eliminates physical barriers and risks, facilitating seamless
activities in both real and virtual worlds. In the context of additive manufacturing, testing 3D …
activities in both real and virtual worlds. In the context of additive manufacturing, testing 3D …
A discrimination-guided active learning method based on marginal representations for industrial compound fault diagnosis
Diagnosis of compound faults is meaningful and challenging in actual industrial
applications. Generally, it is impractical to obtain a sufficient amount of labeled data for the …
applications. Generally, it is impractical to obtain a sufficient amount of labeled data for the …
Uncovering acoustic signatures of pore formation in laser powder bed fusion
We present a machine learning workflow to discover signatures in acoustic measurements
that can be utilized to create a low-dimensional model to accurately predict the location of …
that can be utilized to create a low-dimensional model to accurately predict the location of …