Imaging method
US-2024219322-A1 · Jul 4, 2024 · US
US9916651B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9916651-B2 |
| Application number | US-201414916869-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 29, 2014 |
| Priority date | Sep 6, 2013 |
| Publication date | Mar 13, 2018 |
| Grant date | Mar 13, 2018 |
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A method of characterizing a part made of woven composite material, includes calculating autocorrelation values of a three-dimensional image in an observation window of the volume of the part for a plurality of spatial vectors used as the autocorrelation interval, and then detecting at least one local extremum in the autocorrelation value on a main orientation of the weaving in order to determine a mean in the observation window for the distance between neighboring parallel yarns.
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The invention claimed is: 1. A method of characterizing a part made of woven composite material, the method comprising: acquiring a three-dimensional image of the part by using a tomography appliance, calculating autocorrelation values of the three-dimensional image in an observation window of the volume of the part for a plurality of spatial vectors used as an autocorrelation interval, and detecting at least one local extremum in the autocorrelation value on a main orientation of the weaving in order to determine a mean in the observation window for a distance between neighboring parallel yarns, wherein the woven composite material is made of a woven fiber reinforcement embedded in a matrix, wherein the method further comprises realigning the image of the part so as to align axes of the image with axes of the woven fiber reinforcement. 2. A characterization method according to claim 1 , wherein the autocorrelation values are calculated by using the Wiener-Khinchin theorem. 3. A characterization method according to claim 1 , further comprising detecting a main weaving orientation in the plurality of vectors. 4. A characterization method according to claim 1 , wherein at least one local extremum is detected for a weft yarn direction and for a warp yarn direction in order to determine means in the observation window respectively for the distances between neighboring weft yarns and between neighboring warp yarns. 5. A characterization method according to claim 1 , wherein the part is made of three-dimensionally woven composite material. 6. A characterization method according to claim 1 , wherein the part comprises carbon fibers in a carbon matrix. 7. A characterization method according to claim 1 , wherein the image is an X-ray tomography image. 8. A characterization method according to claim 1 , comprising measuring a distance between two consecutive maxima in the autocorrelation values to determine the distance between neighboring parallel yarns.
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