Engineering of Additive Manufacturing Features for Data-Driven Solutions - Sources, Techniques, Pipelines, and Applications (1st ed. 2023)

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 of the status and future of data-driven AM technology.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Applied Sciences and Technology
Release date:	June 2023
First published:	2023
Authors:	Mutahar Safdar • Guy Lamouche • Padma Polash Paul • Gentry Wood • Yaoyao (Fiona) Zhao
Dimensions:	235 x 155mm (L x W)
Pages:	141
Edition:	1st ed. 2023
ISBN-13:	978-3-03-132153-5
Categories:	Books
LSN:	3-03-132153-7
Barcode:	9783031321535

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!