System and method for crack detection

Patent metadata

Field	Value
Publication number	US-11946883-B1
Application number	US-202117454865-A
Country	US
Kind code	B1
Filing date	Nov 15, 2021
Priority date	Mar 11, 2021
Publication date	Apr 2, 2024
Grant date	Apr 2, 2024

Abstract

A method includes determining a predicted contrast-to-noise ratio sensitivity function (CNR SF) for crack detection of a predetermined target flaw size with the radiographic inspection system in the selected set-up. The method also includes qualifying an inspection image quality indicator (IQI) for the predetermined target flaw size for use in the radiographic inspection system in the selected set-up. The method also includes performing an inspection process. The inspection process includes selecting the qualified inspection IQI for the predetermined target flaw size. The inspection process also includes performing an inspection test on the qualified inspection IQI using the radiographic inspection system in the selected set-up. The inspection process also includes determining one or more inspection output parameters. The inspection process also includes verifying that the one or more inspection output parameters meet or exceed minimum qualified values to qualify the radiographic inspection system in the selected set-up.

First claim

What is claimed is:

1. A method for qualifying a radiographic inspection system in a selected set-up to make a crack detectability determination, the method comprising:
performing a computer-simulated process comprising:
selecting a simulated crack comprising a target flaw size;
selecting a simulated crack-like flaw comprising a calibration flaw size;
performing a first simulation test on the simulated crack and a second simulation test on the simulated crack-like flaw using a simulated radiographic system in the selected set-up;
determining one or more simulated output parameters based upon the first and second simulation tests, wherein the one or more simulated output parameters include one or more simulated crack output parameters and one or more simulated crack-like flaw output parameters;
determining a simulated contrast-to-noise ratio sensitivity function (CNR SF) based upon the one or more simulated output parameters; and
determining one or more simulated transfer functions between the target flaw size and the calibration flaw size based on the CNR SF;

performing an empirical process comprising:
selecting a real crack specimen comprising the target flaw size;
selecting an empirical image quality indicator (IQI) comprising a crack-like flaw having the calibration flaw size;
performing a first empirical test on the real crack specimen and a second empirical test on the empirical IQI using the radiographic inspection system in the selected set-up;
determining one or more empirical output parameters based upon the first and second empirical tests, wherein the one or more empirical output parameters include one or more real crack specimen output parameters and one or more empirical IQI output parameters;
determining an empirical CNR SF based upon the one or more empirical output parameters; and
determining one or more empirical transfer functions between the target flaw size and the calibration flaw size based on the empirical CNR SF;

determining a plurality of correlations based upon the simulated CNR SF and the empirical CNR SF;
determining a predicted CNR SF for crack detection based upon the plurality of correlations;
selecting and qualifying an inspection IQI for a predetermined target flaw size for use in the radiographic inspection system in the selected set-up based upon the plurality of correlations and the predicted CNR SF;
determining minimum qualified values for the one or more empirical IQI output parameters for the inspection IQI to provide detection of the predetermined target flaw size;
performing an inspection process comprising:
selecting the qualified inspection IQI for the predetermined target flaw size;
performing an inspection test on the qualified inspection IQI using the radiographic inspection system in the selected set-up;
determining one or more inspection output parameters; and
verifying that the one or more inspection output parameters meet or exceed the minimum qualified values to qualify the radiographic inspection system in the selected set-up; and

inspecting a component part using the qualified radiographic inspection system in the selected set-up to detect one or more cracks with greater than or equal to the predetermined target flaw size.

2. The method of claim 1 , wherein the first and second simulation tests further comprises:
determining a simulated probability of detection (POD) based upon the one or more simulated output parameters; and
determining a simulated probability of probability of false positive (POF) based upon the one or more simulated output parameters, wherein the simulated CNR SF is based upon the simulated POD, the simulated POF, or both.

3. The method of claim 1 , wherein the one or more simulated output parameters, the one or more empirical output parameters, the one or more inspection output parameter, or a combination thereof comprise a CNR, an indication aspect ratio, and a resolution ratio.

4. The method of claim 1 , wherein the plurality of correlations comprise:
one or more first correlations between the simulated crack and the simulated crack-like flaw;
one or more second correlations between the real crack specimen and the empirical IQI;
one or more third correlations between the simulated crack and the real crack specimen; and
one or more fourth correlations between the simulated crack-like flaw and the empirical IQI.

5. The method of claim 1 , wherein the plurality of correlations comprises:
a first set of correlations between a CNR of the simulated crack and a CNR of the simulated crack-like flaw, an aspect ratio of the simulated crack and an aspect ratio of the simulated crack-like flaw, and a resolution ratio of the simulated crack and a resolution ratio of the simulated crack-like flaw;
a second set of correlations between a CNR of the real crack specimen and a CNR of the empirical IQI, an aspect ratio of the real crack specimen and an aspect ratio of the empirical IQI, and a resolution ratio of the real crack specimen and a resolution ratio of the empirical IQI;
a third set of correlations between the CNR of the simulated crack and the CNR of the real crack specimen, the aspect ratio of the simulated crack and the aspect ratio of the real crack specimen, and the resolution ratio of the simulated crack and the resolution ratio of the real crack specimen; and
a fourth set of correlations between the CNR of the simulated crack-like flaw and the CNR of the empirical IQI, the aspect ratio of the simulated crack-like flaw and the aspect ratio of the empirical IQI, and the resolution ratio of the simulated crack-like flaw and the resolution ratio of the empirical IQI.

6. A method for making a crack detectability determination, the method comprising:
performing a computer-simulated process comprising:
selecting a simulated crack comprising a target flaw size;
selecting a simulated crack-like flaw comprising a calibration flaw size;
performing a first simulation test on the simulated crack and a second simulation test on the simulated crack-like flaw using a simulated radiographic system in a simulated set-up; and
determining one or more simulated output parameters based upon the first and second simulation tests;

performing an empirical process comprising:
selecting a real crack specimen comprising the target flaw size;
selecting an empirical image quality indicator (IQI) comprising a crack-like flaw having the calibration flaw size;
performing a first empirical test on the first real crack specimen and a second empirical test on the empirical IQI using a radiographic inspection system in a selected set-up; and
determining one or more empirical output parameters based upon the first and second empirical tests;

determining one or more correlations based at least partially upon the one or more simulated output parameters and the one or more empirical output parameters;
determining a predicted output parameter for crack detection based upon the one or more correlations;
selecting an inspection IQI for a predetermined target flaw size for use in the radiographic inspection system in the selected set-up based at least partially upon the predicted output parameter;
determining minimum qualified values for the inspection IQI to provide detection of the predetermined target flaw size; and
performing an inspection process comprising:
performing an inspection test on the inspection IQI using the radiographic inspection system in the selected set-up;
determining one or more inspection output parameters based upon the inspection test; and
verifying that the one or more inspection output parameters meet or exceed the minimum qualified values to qualify the radiographic inspection system in the selected set-up.

7. The method of claim 6 , further co

Assignees

• Nasa
• United States as represented by the Administrator of NASA

Inventors

• Koshti Ajay M

Classifications

• G01N23/18 Primary

  Investigating the presence of flaws defects or foreign matter · CPC title

• G01N23/04

  and forming images of the material · CPC title

• G01N23/083

  the radiation being X-rays · CPC title

• G06T7/0004

  Industrial image inspection · CPC title

• G01N2223/1016

  X-ray · CPC title