X-ray computed tomography sets the stage for geometrical verification of additive manufacturing components, thanks to its ability in measuring complex shapes. Being a volume measurement technique, usually segmentation/thresholding is adopted to turn volume to coordinate measurement enabling the use of well-known computational algorithms: this transformation significantly contributes to measurement uncertainty. We propose a segmentation-free approach for geometrical verification of additively manufactured components based on “mutual information” an information theory concept adopted for the comparison of inhomogeneous data. This is part of a comprehensive model for the design, (additive) manufacturing, and verification of products by an “enriched voxel representation”.
Segmentation-free geometrical verification of additively manufactured components by x-ray computed tomography
Moroni, Giovanni;Petrò, Stefano
2018-01-01
Abstract
X-ray computed tomography sets the stage for geometrical verification of additive manufacturing components, thanks to its ability in measuring complex shapes. Being a volume measurement technique, usually segmentation/thresholding is adopted to turn volume to coordinate measurement enabling the use of well-known computational algorithms: this transformation significantly contributes to measurement uncertainty. We propose a segmentation-free approach for geometrical verification of additively manufactured components based on “mutual information” an information theory concept adopted for the comparison of inhomogeneous data. This is part of a comprehensive model for the design, (additive) manufacturing, and verification of products by an “enriched voxel representation”.File | Dimensione | Formato | |
---|---|---|---|
Segmentation-free geometrical verification of additively manufactured components by x-ray computed tomography.pdf
Accesso riservato
:
Publisher’s version
Dimensione
1.62 MB
Formato
Adobe PDF
|
1.62 MB | Adobe PDF | Visualizza/Apri |
CIRP GA 2018 MorPet_V04.pdf
Open Access dal 01/06/2020
:
Post-Print (DRAFT o Author’s Accepted Manuscript-AAM)
Dimensione
841.5 kB
Formato
Adobe PDF
|
841.5 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.