Ultrasonic modeling for inspection of composite irregularities
US-8965100-B2 · Feb 24, 2015 · US
US10161910B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10161910-B2 |
| Application number | US-201614992444-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 11, 2016 |
| Priority date | Jan 11, 2016 |
| Publication date | Dec 25, 2018 |
| Grant date | Dec 25, 2018 |
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A method of non-destructive testing includes locating an ultrasonic transducer with respect to a component having a visually-inaccessible structure to collect B-scan data from at least one B-scan of the component and to collect C-scan data from at least one C-scan of the component. The method also includes filtering the B-scan data and the C-scan data to remove random noise and coherent noise based on predetermined geometric information about the visually-inaccessible structure to obtain filtered data. The method further includes performing linear signal processing and nonlinear signal processing to determine a damage index for a plurality of voxels representing the visually-inaccessible structure from the filtered B-scan data and the filtered C-scan data to generate a V-scan image. A method of non-destructive testing of a wind turbine blade and an ultrasound system are also disclosed.
Opening claim text (preview).
What is claimed is: 1. A method of non-destructive testing, the method comprising: locating an ultrasonic transducer with respect to a component having a visually-inaccessible structure to collect B-scan data from at least one B-scan of the component and to collect C-scan data from at least one C-scan of the component; filtering the B-scan data and the C-scan data to remove random noise and coherent noise based on predetermined geometric information about the visually-inaccessible structure to obtain filtered data; and performing linear signal processing and nonlinear signal processing to determine a damage index for a plurality of voxels representing the visually-inaccessible structure from the filtered B-scan data and the filtered C-scan data. 2. The method of claim 1 wherein the predetermined geometric information comprises a layer thickness of the visually-inaccessible structure. 3. The method of claim 1 further comprising generating ea volume visualization as a V-scan image of V-scan data from the damage index. 4. The method of claim 3 wherein generating the volume visualization comprises assigning each voxel falling below a threshold damage value a color value based on a location of the voxel to provide a three-dimensional effect to the V-scan image. 5. The method of claim 3 further comprising extracting a three-dimensional contour from the V-scan data and calculating a strength of the component based on the volume visualization or the three-dimensional contour. 6. The method of claim 1 wherein the visually-inaccessible structure comprises a fiber composite. 7. The method of claim 1 wherein the visually-inaccessible structure comprises a composite laminate. 8. The method of claim 1 wherein the component comprises a wind turbine blade and the visually-inaccessible structure comprises a spar cap. 9. The method of claim 1 further comprising quantifying at least one characteristic of at least one feature of the visually-inaccessible structure selected from the group consisting of a location of waviness, a depth of waviness, a length of waviness, and an aspect ratio of waviness of the feature. 10. An ultrasound system comprising: at least one ultrasonic transducer; and a computer operatively connected to the ultrasonic transducer, wherein the computer is configured to: direct the ultrasonic transducer to conduct at least one B-scan and collect B-scan data from the at least one B-scan and to conduct at least one C-scan and collect C-scan data from the at least one C-scan of a component comprising a visually-inaccessible structure; filter the B-scan data and the C-scan data to remove random noise and coherent noise based on predetermined geometric information about the visually-inaccessible structure to obtain filtered data; and perform linear signal processing and nonlinear signal processing to determine a damage index for a plurality of voxels representing the visually-inaccessible structure from the filtered B-scan data and the filtered C-scan data. 11. The ultrasound system of claim 10 wherein the computer is further configured to quantify at least one characteristic of the visually-inaccessible structure selected from the group consisting of a location of out-of-plane waviness, a depth of out-of-plane waviness, a length of out-of-plane waviness, and an aspect ratio of waviness. 12. A method of non-destructive testing, the method comprising: locating an ultrasonic transducer with respect to a component having a visually-inaccessible structure to collect B-scan data from at least one B-scan of the component and to collect C-scan data from at least one C-scan of the component; filtering the B-scan data and the C-scan data to remove random noise and coherent noise based on predetermined geometric information about the visually-inaccessible structure to obtain filtered data; performing linear signal processing and nonlinear signal processing to determine a damage index for a plurality of voxels representing the visually-inaccessible structure from the filtered B-scan data and the filtered C-scan data; generating a volume visualization as a V-scan image of V-scan data from the damage index; and clustering the plurality of voxels based on damage index values and characterizing at least one feature in the visually-inaccessible structure as a debonded feature or a waviness feature by distinguishing a debonded state and a waviness state of the visually-inaccessible structure. 13. The method of claim 12 wherein the predetermined geometric information comprises a layer thickness of the visually-inaccessible structure. 14. The method of claim 12 wherein generating the volume visualization comprises assigning each voxel falling below a threshold damage value a color value based on a location of the voxel to provide a three-dimensional effect to the V-scan image. 15. The method of claim 12 wherein the waviness feature comprises an out-of-plane waviness. 16. The method of claim 12 further comprising performing a data compression comprising defining contour levels of clustered voxels, setting a contour threshold value for contour lines, defining a contour of a 3-D image in x-y, x-z, and y-z planes at each clustered voxel group, and compiling the contours into a single contour image comprising the contours. 17. The method of claim 12 further comprising quantifying at least one characteristic of at least one feature of the visually-inaccessible structure selected from the group consisting of a location of waviness, a depth of waviness, a length of waviness, and an aspect ratio of waviness of the feature. 18. The method of claim 12 further comprising extracting a three-dimensional contour from the V-scan data. 19. The method of claim 18 further comprising calculating a strength of the component based on the volume visualization or the three-dimensional contour. 20. An ultrasound system comprising: at least one ultrasonic transducer; and a computer operatively connected to the ultrasonic transducer, wherein the computer is configured to: direct the ultrasonic transducer to conduct at least one B-scan and collect B-scan data from the at least one B-scan and to conduct at least one C-scan and collect C-scan data from the at least one C-scan of a component comprising a visually-inaccessible structure; filter the B-scan data and the C-scan data to remove random noise and coherent noise based on predetermined geometric information about the visually-inaccessible structure to obtain filtered data; perform linear signal processing and nonlinear signal processing to determine a damage index for a plurality of voxels representing the visually-inaccessible structure from the filtered B-scan data and the filtered C-scan data; generate a volume visualization as a V-scan image of V-scan data from the damage index; extract a three-dimensional contour from the V-scan data; and determine a presence of debonding or waviness of the visually-inaccessible structure from the volume visualization or the three-dimensional contour. 21. The ultrasound system of claim 20 wherein the computer is further configured to quantify at least one characteristic of the visually-inaccessible structure selected from the group consisting of a location of out-of-plane waviness, a depth of out-of-plane waviness, a length of out-of-plane waviness, and an aspect ratio of waviness.
Imaging · CPC title
Solids · CPC title
Processing the detected response signal {, e.g. electronic circuits specially adapted therefor (digital signal processing per se G06F17/00)} · CPC title
Internal structure, e.g. defects, grain size, texture · CPC title
Display representation or displayed parameters, e.g. A-, B- or C-Scan · CPC title
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