METHODS AND SYSTEMS FOR DETECTING DEFECTS IN WELDED STRUCTURES

• US 20100319456A1
• Filed: 06/19/2009
• Published: 12/23/2010
• Est. Priority Date: 06/19/2009
• Status: Active Grant

• Current Assignee: Georgia Tech Research Corporation (University System of Georgia)
• Original Assignee: Georgia Tech Research Corporation (University System of Georgia)
• Inventors: Rogge, Matthew, Wu, Tsun-Yen, Ume, Ifeanyi Charles
• Granted Patent: US 8,297,122 B2
• Time in Patent Office: Days
• US Class Current: 73/622
• CPC Class Codes: G01N 2291/267 Welds
• CPC Class Codes: G01N 29/07 by measuring propagation velocity or propagation time of acoustic waves
• CPC Class Codes: G01N 29/12 by measuring frequency or resonance of acoustic waves measuring frequency or resonant frequency of mechanical vibrations or acoustic waves in general G01H1/06, G01H3/04, G01H13/00; acoustic resonators G10K11/04; vibration or shock testing of structures G01M7/00
• CPC Class Codes: G01N 29/4427 with stored values, e.g. threshold values
• CPC Class Codes: G01N 29/46 by spectral analysis, e.g. Fourier analysis or wavelet analysis spectral signal processing per se G06F17/14

Abstract

A method for processing ultrasonic response signals collected from a plurality of measurement locations along a weld of a test sample to determine the presence of defects in the weld may include filtering an ultrasonic response signal from each measurement location to produce a plurality of filtered response signals for each measurement location, wherein each filtered response signal corresponds to specific types of defects. Thereafter, a plurality of energy distributions may be calculated for the weld based on the plurality of filtered response signals for each measurement location. The plurality of energy distributions may be compared to corresponding baseline energy distributions to determine the presence of defects in the weld.

Claims

1. A method for processing ultrasonic response signals collected from a plurality of measurement locations along a weld to determine the presence of a defect in the weld, the method comprising:

filtering an ultrasonic response signal from each of the measurement locations to produce a plurality of filtered response signals for each of the measurement locations, wherein each filtered response signal corresponds to specific types of defects;

calculating a plurality of energy distributions for the weld based on the plurality of filtered response signals for each of the measurement locations; and

comparing each energy distribution to a corresponding baseline energy distribution to determine the presence of a defect in the weld.

2. The method of claim 1 wherein the ultrasonic response signal is filtered by:

decomposing the ultrasonic response signal from each of the measurement locations by discrete wavelet transform with a plurality of mother wavelets to produce sets of wavelet coefficients corresponding to each of the mother wavelets;

band pass filtering the sets of wavelet coefficients to isolate a frequency range of the ultrasonic response signal sensitive to defects in the weld; and

reconstructing each set of filtered wavelet coefficients by inverse discrete wavelet transform to produce the plurality of filtered response signals.

3. The method of claim 1 wherein each energy distributions is compared to the corresponding baseline energy distribution by calculating a summed energy difference distribution for the weld.

4. The method of claim 1 further comprising determining the baseline energy distribution by averaging corresponding energy distributions from a plurality of test samples.

5. A method for testing a weld for the presence of defects, the method comprising:

inducing ultrasonic signals at multiple measurement locations along the weld;

collecting an ultrasonic response signal for each of the measurement locations along the weld;

filtering the ultrasonic response signal from each of the measurement locations by;

decomposing the ultrasonic response signal by discrete wavelet transform with a plurality of mother wavelets to produce sets of wavelet coefficients corresponding to each mother wavelet;

band pass filtering the sets of wavelet coefficients to isolate a frequency range sensitive to defects in the weld;

reconstructing each set of filtered wavelet coefficients by inverse discrete wavelet transform to produce a plurality of filtered response signals for each measurement location;

calculating a plurality of energy distributions for the weld based on the plurality of filtered response signals for each of the measurement locations; and

comparing each of the plurality of energy distributions to a corresponding baseline energy distribution to determine the presence of a defect in the weld.

6. The method of claim 5 wherein each energy distributions is compared to the corresponding baseline energy distribution by calculating a summed energy difference distribution for the weld.

7. The method of claim 5 further comprising determining the baseline energy distribution by averaging corresponding energy distributions from a plurality of test samples.

8. The method of claim 5 wherein the ultrasonic response signal for each measurement location is filtered to isolate a frequency range from about 0.977 MHz to about 1.464 MHz.

9. The method of claim 5 wherein the induced ultrasonic signals have a frequency content from about 200 kHz to about 15 MHz.

10. The method of claim 5 wherein ultrasonic signals are induced by directing an output beam of a pulsed laser source on to a surface of a test sample in which the weld is located.

11. The method of claim 10 wherein the pulsed laser source is operated in an ablative mode of operation.

12. The method of claim 5 wherein:

a plurality of ultrasonic signals are induced in the weld at each of the measurement locations; and

a plurality of ultrasonic response signals are collected at each of the measurement locations and averaged.

13. A defect detection system for determining the presence of defects in a weld, the defect detection system comprising a controller, an acoustic signal generator, an acoustic signal detector, and a positioning device, wherein the acoustic signal generator, the acoustic signal detector and the positioning device are electrically coupled to the controller and the controller is programmed to:

induce ultrasonic signals at multiple measurement locations along the weld with the acoustic signal generator;

collect an ultrasonic response signal from each of the measurement locations with the acoustic signal detector and store the ultrasonic response signals in a memory operatively associated with the controller;

filter the ultrasonic response signal collected from each of the measurement locations to produce a plurality of filtered response signals for each of the measurement locations;

calculate a plurality of energy distributions for the weld based on the plurality of filtered response signals for each of the measurement locations; and

determine the presence of defects in the weld by comparing each energy distribution to a corresponding baseline energy distribution.

14. The defect detection system of claim 13 wherein the acoustic signal generator is a pulsed laser source.

15. The defect detection system of claim 13 wherein the acoustic signal detector is an EMAT sensor.

16. The defect detection system of claim 13 wherein the controller is programmed to filter the ultrasonic response signal by:

decomposing the ultrasonic response signal by discrete wavelet transform with a plurality of mother wavelets to produce sets of wavelet coefficients corresponding to each mother wavelet;

band pass filtering the sets of wavelet coefficients to isolate a frequency range of the ultrasonic response signal sensitive to defects in the weld; and

reconstructing each set of filtered wavelet coefficients by inverse discrete wavelet transform to produce the plurality of filtered response signals.

17. The defect detection system of claim 13 wherein the controller is programmed to compare the plurality of energy distributions to corresponding baseline energy distributions by calculating a summed energy difference distribution for the weld.

18. The defect detection system of claim 17 wherein the controller is programmed to determine the presence of defects in the weld by identifying locations along the weld which have a summed energy difference that is less than a low energy threshold.

19. The defect detection system of claim 13 wherein:

the defect detection system further comprises an indicator coupled to the controller; and

the controller is programmed to provide an indication with the indicator that the weld contains defects or is free from defects.

20. The defect detection system of claim 13 wherein the indicator is a display coupled to the controller and the controller is programmed to indicate the presence and location of defects identified in the weld on the display.