Additive manufacturing technologies allow the production of highly complex parts. The surface topography of such parts often presents micro-scale and freeform-shaped re-entrant features. These features cannot be measured completely using optical or tactile techniques, without sectioning the sample. Therefore, X-ray computed tomography has recently started to be used for topographical measurement of additively manufactured surfaces, as it is capable of acquiring also re-entrant features of the surface when a sufficiently high spatial resolution is achieved. However, profile texture parameters described in the standard ISO 4287 are not suited to characterise the aforementioned profiles, due to the possible re-entrant features. This paper proposes a new definition of texture parameters optimised for additively manufactured surface profiles with the presence of re-entrant features, measured by means of X-ray computed tomography.

Generalization of profile texture parameters for additively manufactured surfaces

Zanini, F.;Carmignato, S.;
2018

Abstract

Additive manufacturing technologies allow the production of highly complex parts. The surface topography of such parts often presents micro-scale and freeform-shaped re-entrant features. These features cannot be measured completely using optical or tactile techniques, without sectioning the sample. Therefore, X-ray computed tomography has recently started to be used for topographical measurement of additively manufactured surfaces, as it is capable of acquiring also re-entrant features of the surface when a sufficiently high spatial resolution is achieved. However, profile texture parameters described in the standard ISO 4287 are not suited to characterise the aforementioned profiles, due to the possible re-entrant features. This paper proposes a new definition of texture parameters optimised for additively manufactured surface profiles with the presence of re-entrant features, measured by means of X-ray computed tomography.
2018
Journal of Physics: Conference Series
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3291757
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