This book is a comprehensive guide to the latest developments in data-driven additive manufacturing (AM). From data mining and pre-processing to signal...
Expert Systems with Applications, Elsevier, 13 avril 2024, Volume : 251, Numéro : C
Data-driven applications are penetrating every aspect of Additive Manufacturing (AM) to enable efficient resolution of key existing challenges. One such...
Computers in Industry, Elsevier, 27 octobre 2023, Volume : 154, Numéro : C
Metal-based Additive Manufacturing (AM) can realize fully dense metallic components and thus offers an opportunity to compete with conventional manufacturing...
IFAC-PapersOnLine, International Federation of Automatic Control (IFAC), 22 novembre 2023, Volume : 56, Numéro : 2
Recent applications of machine learning in metal additive manufacturing (MAM) have shown great potential to resolve critical barriers to MAM's widespread...
Proceedings of the ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (Volume 2: 43rd Computers and Information in Engineering Conference (CIE)), American Society of Mechanical Engineers, 21 novembre 2023
Data-driven research in Additive Manufacturing (AM) has gained significant success in recent years. This has led to a plethora of scientific literature to...
This chapter analyzes featurization efforts at the design, process, and post-process phases of AM to look for trends and insights related to feature sources,...
This chapter briefly summarizes the existing challenges and opportunities concerned with AM data preparation in the context of data-driven applications.
AM lifecycle is divided into major sources, and preparation of data generated by each source is discussed separately. These sources of features can be grouped...
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