Automated thermographic inspection for composite structures

Patent metadata

Field	Value
Publication number	US-10732047-B2
Application number	US-201816190436-A
Country	US
Kind code	B2
Filing date	Nov 14, 2018
Priority date	Sep 28, 2016
Publication date	Aug 4, 2020
Grant date	Aug 4, 2020

Abstract

Methods for detecting irregularities in a composite structure can include obtaining temperature data from a surface of the composite structure while the composite structure undergoes a thermal change. An irregularity in the composite structure is detected based on the temperature data.

First claim

What is claimed is:

1. A method to detect an irregularity in a composite structure, the method comprising:
bringing the composite structure to a uniform first temperature state;
inducing a temperature change on an exposed surface of the composite structure relative to the uniform first temperature state;
after inducing the temperature change, generating temperature data for the exposed surface of the composite structure; and
detecting an irregularity in the composite structure based on the temperature data.

2. The method of claim 1 , wherein inducing the temperature change on the exposed surface comprises applying heat thereto.

3. The method of claim 1 , wherein inducing the temperature change on the exposed surface comprises bringing the exposed surface into contact with a cold fluid that is colder than the exposed surface of the composite structure in the uniform first temperature state.

4. The method of claim 1 , wherein inducing the temperature change on the exposed surface comprises moving the composite structure from a first environment at a first temperature to a second environment that is at a second temperature different from the first temperature.

5. The method of claim 1 , further comprising:
comparing the temperature data to reference temperature data that corresponds to a reference composite structure; and
detecting the irregularity by detecting a region on the composite structure having a different heat intensity than surrounding regions of the composite structure based on the temperature data that is indicative of a local temperature that is different than a corresponding reference local temperature of the reference temperature data.

6. The method of claim 1 , wherein the composite structure comprises a composite vehicle component having a composite skin attached to a core.

7. The method of claim 1 , wherein inducing the temperature change comprises directing infrared radiation toward the composite structure.

8. The method of claim 1 , wherein inducing the temperature change comprises transferring heat to or from the exposed surface of the composite structure via a convective flow of heated or chilled air.

9. The method of claim 1 , wherein generating the temperature data from the composite structure comprises capturing a thermographic image via an infrared sensor.

10. The method of claim 1 , wherein bringing the composite structure to the uniform first temperature state comprises bringing the exposed surface of the composite structure and a substrate of the composite structure to within a temperature range that does not include an ambient temperature.

11. A computer-implemented method, comprising:
generating temperature data for a composite structure, wherein the composite structure has been brought to a uniform first temperature state, and an outer layer of the composite structure has been subsequently heated or cooled relative to the uniform first temperature state to induce a temperature change of the outer layer, the temperature data being indicative of surface temperatures of the outer layer of the composite structure, and the temperature change corresponding to the outer layer of the composite structure changing temperature in response to transferring thermal energy to or from a substrate within the composite structure; and
detecting an irregularity in the composite structure based on the temperature data by detecting an anomalous temperature at an exposed surface of the outer layer.

12. The computer-implemented method of claim 11 , wherein:
the temperature change is driven by a difference between a first temperature of the composite structure and a second temperature of the composite structure.

13. The computer-implemented method of claim 12 , further comprising, before generating the temperature data, heating or cooling the composite structure to bring the outer layer and the substrate of the composite structure to the uniform first temperature state, whereby the outer layer and the substrate of the composite structure are within a temperature range that does not include an ambient temperature.

14. The computer-implemented method of claim 11 , further comprising:
receiving reference temperature data indicative of surface temperatures of a reference composite structure;
comparing the temperature data to the reference temperature data; and
detecting the irregularity based on determining, by the comparing, that the temperature data contains the anomalous temperature at the exposed surface of the outer layer, the anomalous temperature not being indicated by the reference temperature data.

15. The computer-implemented method of claim 11 , wherein the irregularity is one of a void, air bubble, delamination, manufacturing defect, foreign object, or crack in a skin of the outer layer or between the skin and a core of the composite structure.

16. The computer-implemented method of claim 11 , further comprising:
storing the temperature data in a database;
comparing the temperature data with previously stored temperature data; and
detecting the irregularity based on determining, by the comparing, that the temperature data contains the anomalous temperature at the exposed surface of the outer layer, the anomalous temperature not being indicated by the previously stored temperature data.

17. A system to detect an irregularity in a composite structure, the system comprising:
a heating or cooling mechanism operable to induce a temperature change on an exposed surface of a composite structure;
a sensor operable to generate temperature data for the exposed surface of the composite structure; and
a management component comprising a processor and memory containing executable instructions that, when executed by the processor, cause the management component to:
bring the composite structure to a uniform first temperature state via the heating or cooling mechanism;
cause the heating or cooling mechanism to induce a temperature change on the exposed surface of the composite structure relative to the uniform first temperature state;
after the temperature change has been applied to the exposed surface of the composite structure, cause the sensor to generate the temperature data for the exposed surface of the composite structure; and
process the temperature data to determine whether the composite structure includes an irregularity, the irregularity being indicative of damage and/or a manufacturing defect.

18. The system of claim 17 , wherein the management component is further configured to:
generate a temperature map from the temperature data; and
determine that the composite structure includes an irregularity based in part on detecting a region on the temperature map having a different heat intensity than a surrounding region.

19. The system of claim 18 , wherein the management component is further configured to:
receive a reference image, the reference image corresponding to temperature data of a composite structure that does not have damage or defects;
compare the reference image with the temperature map; and
determine that the composite structure includes an irregularity based in part on detecting a region on the temperature map having a different heat intensity than a corresponding reference heat intensity included in the reference image.

20. The system of claim 18 , wherein determining that the composite structure includes an irregularity comprises determining that a temperature at a spatial location of the temperature map is outside a predetermined threshold associated with th

Assignees

• Amazon Tech Inc

Inventors

• Glynn Prescott Gee
• Marks Robert Todd
• Mcginnis Steven
• Medina Romero Armando
• Munster Jr Mark Gerald
• Wallace Adrian Timothy

Classifications

• G01N25/72 Primary

  Investigating presence of flaws · CPC title

• G01J5/485

  Temperature profile · CPC title

• G01J5/0003 Primary

  for sensing the radiant heat transfer of samples, e.g. emittance meter · CPC title

• G01J5/0896

  using a light source, e.g. for illuminating a surface · CPC title

• G01J2005/0077

  Imaging · CPC title