System and method for determining part damage

Patent metadata

Field	Value
Publication number	US-11410298-B2
Application number	US-201816210800-A
Country	US
Kind code	B2
Filing date	Dec 5, 2018
Priority date	Dec 5, 2017
Publication date	Aug 9, 2022
Grant date	Aug 9, 2022

Abstract

A process for automated component inspection includes the steps of calibrating an imaging device mounted on a table; calibrating a coordinate measuring machine mounted on the table, the coordinate measuring machine comprising a fixture coupled to an arm of the coordinate measuring machine; coupling a component to the fixture; acquiring an image of said component with said imaging device; registering a baseline dimensioned image to the component image; applying the baseline dimensioned image to a damage detection algorithm; and determining component damage by the damage detection algorithm.

First claim

What is claimed is:

1. A process for automated component inspection comprising:
calibrating an imaging device mounted on a table;
calibrating a coordinate measuring machine mounted on said table, said coordinate measuring machine comprising a fixture coupled to six degree of freedom arm of said coordinate measuring machine configured as a localization and pose measurement system;
coupling a component to said fixture; whereby the six degree of freedom arm reports the component location and pose in all six degrees of freedom; wherein the component is a turbine blade;
acquiring an image of said component with said imaging device;
registering a baseline dimensioned image to said component image, wherein said baseline dimensioned image is selected from the group consisting of a design drawing, a CAD model projection, and a prior 3D scan projection;
applying said baseline dimensioned image to a damage detection algorithm using the reported location and pose; and
determining component damage by said damage detection algorithm.

2. The process according to claim 1 , wherein said imaging device is a microscope.

3. The process according to claim 2 , wherein said microscope is calibrated by estimating intrinsic parameters with a calibration pattern.

4. The process according to claim 3 , wherein a three dimension calibration jig is utilized to estimate the microscope extrinsic parameters.

5. The process according to claim 1 , wherein said step of registering a baseline dimensioned image to said component image further comprises a damage-invariant method.

6. The process according to claim 1 , wherein said step of determining structural damage further comprises comparing the differences between the component image and the baseline dimensioned image.

7. The process according to claim 1 , wherein said component damage is structural damage.

8. The process according to claim 1 , wherein said component damage determination is by physical mode decomposition.

9. The process according to claim 1 , wherein said component damage is at least one of a crack, a nick, a gouge, and corrosion.

10. The process according to claim 1 , wherein said component damage determination includes at least one of an algorithm selection, a parameter selection, and a Bayesian estimation.

11. A system for automated component inspection comprising:
a table;
an imaging device mounted on a table, wherein said imaging device is configured to create a component image, and the system is configured to register a baseline dimensioned image to said component image for determining structural damage on said component by applying said baseline dimensioned image to a damage detection algorithm using a reported location and pose; and determining component damage by a damage detection algorithm, wherein said baseline dimensioned image is selected from the group consisting of a design drawing, a CAD model projection, a prior 3D scan projection;
a coordinate measuring machine mounted on said table, said coordinate measuring machine comprising a fixture coupled to six degree of freedom arm of said coordinate measuring machine configured as a localization and pose measurement system; and
a component gas turbine engine blade coupled to said fixture; whereby the six degree of freedom arm reports the component location and pose in all six degrees of freedom.

12. The system according to claim 11 , wherein said imaging device is a microscope.

13. The system according to claim 11 , wherein said fixture comprises a transparent material configured to allow surfaces of the component to be viewed.

Assignees

• United Technologies Corp
• Raytheon Tech Corp

Inventors

• Finn Alan Matthew
• Pasini Jose Miguel
• Bernal Edgar A
• Erdinc Ozgur
• Xiong Ziyou
• Donskoy Gene B
• Frutuoso Sergio S
• Sylvestro Joseph A
• Osborne Iii Richard W
• Oshin Olusegun T
• Rall William L

Classifications

• G01B21/042 Primary

  Calibration or calibration artifacts (G01B3/30, G01B9/02072 take precedence) · CPC title

• G02B21/365

  Control or image processing arrangements for digital or video microscopes (G02B21/361, G02B21/362 take precedence) · CPC title

• G06T7/001 Primary

  using an image reference approach · CPC title

• G01M5/0016

  of aircraft wings or blades · CPC title

• G01M11/081

  by using a contact-less detection method, i.e. with a camera · CPC title