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Engineering of Additive Manufacturing Features for Data-Driven Solutions

Sources, Techniques, Pipelines, and Applications de

Éditeur :

Springer


Collection :

SpringerBriefs in Applied Sciences and Technology

Paru le : 2023-06-01

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Description

This book is a comprehensive guide to the latest developments in data-driven additive manufacturing (AM). From data mining and pre-processing to signal processing, computer vision, and more, the book covers all the essential techniques for preparing AM data. Readers willl explore the key physical and synthetic sources of AM data throughout the life cycle of the process and learn about feature engineering techniques, pipelines, and resulting features, as well as their applications at each life cycle phase. With a focus on featurization efforts from reviewed literature, this book offers tabular summaries for major data sources and analyzes feature spaces at the design, process, and structure phases of AM to uncover trends and insights specific to feature engineering techniques. Finally, the book discusses current challenges and future directions, including AI/ML/DL readiness of AM data.
Whether you're an expert or newcomer to the field, this book provides a broader summary ofthe status and future of data-driven AM technology.
Pages
141 pages
Collection
SpringerBriefs in Applied Sciences and Technology
Parution
2023-06-01
Marque
Springer
EAN papier
9783031321535
EAN PDF
9783031321542
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
4321 Ko
Prix
47,46 €
EAN EPUB
9783031321542
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
16773 Ko
Prix
47,46 €

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