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Applications in data-driven additive manufacturing

DOIResolve DOI: https://doi.org/10.1007/978-3-031-32154-2_3
AuthorSearch for: 1; Search for: 2; Search for: ; Search for: ; Search for: ORCID identifier: https://orcid.org/0000-0003-4927-0514
Affiliation
  1. National Research Council Canada. Aerospace
  2. National Research Council Canada. Digital Technologies
FormatText, Book Chapter
Abstract
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.
Publication date
PublisherSpringer
In
  • Engineering of Additive Manufacturing Features for Data-Driven Solutions: Sources, Techniques, Pipelines, and Applications: 45–121.
Series
  • SpringerBriefs in Applied Sciences and Technology.
LanguageEnglish
Peer reviewedYes
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Record identifier2cd91ea8-7b1e-47e5-acd7-8980d8738f92
Record created2023-09-05
Record modified2023-09-08

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