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Design for X-Ray Computed Tomography

Authors: Moroni, Giovanni; Petrò, Stefano;

Design for X-Ray Computed Tomography

Abstract

Abstract The search for higher and higher performance is pushing part geometry to increased complexity. A significant contribution to this trend has been given by the diffusion of additive manufacturing technologies: substituting a simple additive manufacturing part with a complex one does not significantly affect the production cost. The diffusion of complex geometries has made geometric inspection more and more complicated. However, in recent years a new technique for geometric verification has emerged, which is not affected by the complexity of the geometry: X-Ray Computed Tomography (XCT). XCT substitutes the point probing of geometric metrology with a volumetric scan of the X-Ray absorption of the material. As the whole volume is (even internally) scanned without any accessibility issue, complex geometries are easily acquired. Even if XCT is totally flexible, this does not mean it can scan any geometry with the same degree of accuracy. In many cases, the part can be measured but the required degree of accuracy cannot be reached. In this work we will try to highlight which are the geometries the most suitable for XCT scanning. This can serve as guide to design parts which can be easily measured by XCT, and simultaneously avoid the generation of scan defects and artifacts which could negatively affect the measurement result. These indications can also serve as an input to develop new rules for topological optimization software.

Country
Italy
Related Organizations
Keywords

Design for Metrology, Geometric Verification, X-Ray Computed Tomography

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
Green
gold