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Multi-scale surface characterization in additive manufacturing using CT

Abstract : In additive manufacturing, the part geometry, including its internal structure, can be optimized to answer functional requirements by optimizing process parameters. This can be performed by linking process parameters to the resulting manufactured geometry. This paper deals with an original method for surface geometry characterization of printed parts (using Fused Filament Fabrication FFF) based on 3D Computer Tomography (CT) measurements. From 3D measured data, surface extraction is performed, giving a set of skin voxels corresponding to the internal and external part surface. A multi-scale analysis method is proposed to analyse the relative internal area of the total surface obtained at different scales (from sub-voxel to super-voxel scales) with different process parameters. This analysis turns out to be relevant for filling strategy discrimination.
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Submitted on : Thursday, September 1, 2016 - 2:47:55 PM
Last modification on : Monday, July 5, 2021 - 9:51:08 AM
Long-term archiving on: : Sunday, December 4, 2016 - 12:39:07 AM


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  • HAL Id : hal-01358916, version 1


Yann Quinsat, Claire Lartigue, Christopher Brown, Lamine Hattali. Multi-scale surface characterization in additive manufacturing using CT. International Joint Conference on Mechanics, Design Engineering & Advanced Manufacturing (JCM 2016), Sep 2016, Catane, Italy. ⟨hal-01358916⟩



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