Heterogeneous sensor data fusion for multiscale, shape agnostic flaw detection in laser powder bed fusion additive manufacturing

We developed and applied a novel approach for shape agnostic detection of multiscale flaws in laser powder bed fusion (LPBF) additive manufacturing using heterogenous in-situ sensor data. Flaws in LPBF range from porosity at the micro-scale (< 100 µm), layer related inconsistencies at the meso-scale...

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Principais autores:	Benjamin Bevans, Christopher Barrett, Thomas Spears, Aniruddha Gaikwad, Alex Riensche, Ziyad Smoqi, Harold (Scott) Halliday, Prahalada Rao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Taylor & Francis Group 2023-12-01
coleção:	Virtual and Physical Prototyping
Assuntos:	additive manufacturing sensor data fusion thermal imaging spatter monitoring shape agnostic monitoring porosity
Acesso em linha:	http://dx.doi.org/10.1080/17452759.2023.2196266
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