Titlebook: Engineering of Additive Manufacturing Features for Data-Driven Solutions; Sources, Techniques, Mutahar Safdar,Guy Lamouche,Yaoyao Fiona Zha

Innocence

https://doi.org/10.1007/978-3-030-56204-5This chapter introduces additive manufacturing (AM) in terms of its merits and maturity. The status of data-driven AM research is evaluated in terms of existing reviews. The significance of feature engineering in AM is explained. Finally, the methodology used to collect literature is explained toward the end.

单片眼镜

https://doi.org/10.1007/978-94-015-0955-8This chapter analyzes featurization efforts at the design, process, and post-process phases of AM to look for trends and insights related to feature sources, feature engineering techniques and pipelines, feature types, and their applications. The insights are summarized in figures and bar graphs.

Offset

https://doi.org/10.1057/9780230596719This chapter briefly summarizes the existing challenges and opportunities concerned with AM data preparation in the context of data-driven applications.

土坯

https://doi.org/10.1007/978-1-4899-2907-5This chapter summarizes the research brief.

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Pigeon

Reclaim

Challenges and Opportunities in Additive Manufacturing Data Preparation,This chapter briefly summarizes the existing challenges and opportunities concerned with AM data preparation in the context of data-driven applications.

调色板

Summary,This chapter summarizes the research brief.

Trabeculoplasty

https://doi.org/10.1007/978-3-031-32154-2Data-driven Additive Manufacturing; Feature Engineering; Data Preparation and Preprocessing; Raw Data T

里程碑

Engineering of Additive Manufacturing Features for Data-Driven Solutions978-3-031-32154-2Series ISSN 2191-530X Series E-ISSN 2191-5318