Method and means to analyze thermographic data acquired during automated fiber placement

US10872391B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10872391-B2
Application numberUS-201815954126-A
CountryUS
Kind codeB2
Filing dateApr 16, 2018
Priority dateApr 17, 2017
Publication dateDec 22, 2020
Grant dateDec 22, 2020

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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Abstract

Official abstract text for this publication.

A method of detecting defects in a composite structure includes applying heat to a surface of a composite structure. Thermographic images or frames captured by a moving camera may be utilized to form temporally aligned images that include temperature data (pixels) from a plurality of frames, wherein the (pixels) comprise data captured at a simple (uniform) time delay from the time at which heat was applied. The temporally aligned thermographic data for the surface region may include variations due to differences in thermal transients caused by defects in the composite structure. The variations in the thermographic data may be utilized to detect one or more defects in the composite structure.

First claim

Opening claim text (preview).

What is claimed is: 1. A method of detecting defects in a composite structure fabricated by an automated fiber placement (AFP) process, the method comprising: applying heat to the surface of a composite structure using a heat source that moves relative to the composite structure; capturing a series of initial thermographic images of the surface of the composite structure after heating the surface using a camera that moves with the heat source relative to the composite structure; forming temporally synchronized images comprising sections of a plurality of the initial thermographic images, wherein the sections correspond to portions of the surface that were heated at the same time interval prior to capturing the image section; wherein the temporally synchronized images include variations; utilizing variations in the thermographic data for the surface to detect one or more defects in the composite structure. 2. The method of claim 1 , wherein: the sections of the initial thermographic images comprise pixels. 3. The method of claim 2 , including: using the series of initial thermographic images to form a data cube having two spatial dimensions and one time dimension. 4. The method of claim 1 , wherein: forming at least one temporally synchronized image includes time shifting a plurality of pixels to correct for heating delay in the initial thermographic images. 5. The method of claim 4 , including: correcting the temporally synchronized images to compensate for varying amounts of heat being applied to the composite structure over time. 6. The method of claim 5 , including: determining an expected value of a temperature for the pixels in the temporally synchronized images utilizing correction weights based on overall heating trends. 7. The method of claim 6 , including: determining if deviations from the expect values has occurred. 8. The method of claim 7 , including: utilizing deviations from the expected values to determine if defects are present in the composite structure. 9. The method of claim 1 , wherein: the composite structure is fabricated utilizing an automated fiber placement (AFP) system having a head including a tow applicator that moves relative to the composite structure and applies at least one tow during fabrication of the composite structure; and the thermographic data is captured by at least one thermal camera mounted to the head after the at least one tow is applied. 10. The method of claim 9 , wherein: the selected surface region is heated utilizing a lamp mounted on the head whereby a surface of the composite structure is heated before the at least one tow is applied. 11. The method of claim 10 , wherein: the at least one thermal camera captures sets of thermographic data at a rate of at least about 60 frames per second while the head is moving relative to the composite structure. 12. The method of claim 6 , wherein: the temporally synchronized images include color and/or intensity variations corresponding to differences in surface temperatures caused by defects in the composite structure. 13. The method of claim 12 , wherein: the at least one defect comprises a material state. 14. The method of claim 12 , wherein: the at least one defect is selected from the group consisting of insufficient tow adhesion, tow buckling, tow lift off, tow disbonding, and tow slippage. 15. The method of claim 1 , including: forming first and second temporally synchronized images using thermographic images captured before and after, debulking the composite structure, respectively; detecting changes in the composite structure caused by the debulking process utilizing differences between the first and second temporally synchronized images. 16. The method of claim 10 , including: collecting thermographic images after a final ply of the composite structure has been laid utilizing at least one thermal camera mounted to a tow-dispensing head of an automated fiber placement (AFP) system.

Assignees

Inventors

Classifications

  • from thermal infrared radiation · CPC title

  • G06T1/0014Primary

    Image feed-back for automatic industrial control, e.g. robot with camera (robots B25J19/023) · CPC title

  • B29C70/382Primary

    Automated fiber placement [AFP] · CPC title

  • Thermography; Techniques using wholly visual means · CPC title

  • Fabrics; Textile; Paper · CPC title

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What does patent US10872391B2 cover?
A method of detecting defects in a composite structure includes applying heat to a surface of a composite structure. Thermographic images or frames captured by a moving camera may be utilized to form temporally aligned images that include temperature data (pixels) from a plurality of frames, wherein the (pixels) comprise data captured at a simple (uniform) time delay from the time at which heat…
Who is the assignee on this patent?
Nasa
What technology area does this patent fall under?
Primary CPC classification G06T1/0014. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Dec 22 2020 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).