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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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Principais autores: Prateek Mehta, Mubarak A. Mujawar, Samantha Lafrance, Shonda Bernadin, Daniel Ewing, Shekhar Bhansali
Format: Artigo
Sprog:Inglês
Udgivet: IOP Publishing 2024-01-01
Serier:ECS Sensors Plus
Fag:
3D printing
error detection
error correction
additive manufacturing
computer vision
artificial intelligence
Online adgang:https://doi.org/10.1149/2754-2726/ad7a88
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