Method for characterizing a part made of a woven composite material

US9916651B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9916651-B2
Application numberUS-201414916869-A
CountryUS
Kind codeB2
Filing dateAug 29, 2014
Priority dateSep 6, 2013
Publication dateMar 13, 2018
Grant dateMar 13, 2018

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Abstract

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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.

First claim

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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.

Assignees

Inventors

Classifications

  • G01N23/046Primary

    using tomography, e.g. computed tomography [CT] · CPC title

  • G06T7/0004Primary

    Industrial image inspection · CPC title

  • Analysis of texture (depth or shape recovery from texture G06T7/529) · CPC title

  • involving 3D image data · CPC title

  • composite materials, multilayer laminates · CPC title

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What does patent US9916651B2 cover?
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 determi…
Who is the assignee on this patent?
Safran
What technology area does this patent fall under?
Primary CPC classification G01N23/046. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Mar 13 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).