Editors’ Choice—Review—Sensor-Based and Computational Methods for Error Detection and Correction in 3D Printing

Additive manufacturing in the realm of 3D printing has transformed the manufacturing sector, providing unmatched freedom in design and rapid prototyping abilities. However, a significant obstacle hindering its broader acceptance is the susceptibility to errors. These errors can take diverse forms, i...

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Detalles Bibliográficos

Principais autores:	Prateek Mehta, Mubarak A. Mujawar, Samantha Lafrance, Shonda Bernadin, Daniel Ewing, Shekhar Bhansali
Formato:	Artigo
Idioma:	Inglês
Publicado:	IOP Publishing 2024-01-01
Series:	ECS Sensors Plus
Assuntos:	3D printing error detection error correction additive manufacturing computer vision artificial intelligence
Acceso en liña:	https://doi.org/10.1149/2754-2726/ad7a88
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