Applications in Data-Driven Additive Manufacturing

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 into design, process, and post-process categories. In each of these categories, major sources of additive manufacturing (AM) data are identif...

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Bibliographic Details
Published inEngineering of Additive Manufacturing Features for Data-Driven Solutions pp. 45 - 121
Main Authors Lamouche, Guy, Safdar, Mutahar, Paul, Padma Polash, Wood, Gentry, Zhao, Yaoyao Fiona
Format Book Chapter
LanguageEnglish
Published Switzerland Springer 2023
Springer Nature Switzerland
SeriesSpringerBriefs in Applied Sciences and Technology
Online AccessGet full text

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Summary: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 into design, process, and post-process categories. In each of these categories, major sources of additive manufacturing (AM) data are identified and used to group the applications of feature engineering in AM. Their applications are discussed in detail in the subsequent sections of this chapter. A key feature of this chapter is its tabular summaries where detailed feature engineering pipelines are presented and linked with feature source, feature form, and feature applications.
ISBN:3031321537
9783031321535
ISSN:2191-530X
2191-5318
DOI:10.1007/978-3-031-32154-2_3