Research on the Quantitative Analysis of Subsurface Defects for Nondestructive Testing by Ultrasound Lock-In Thermography

Abstract:

Article Preview

This paper describes the quantitative analysis of the shape, boundary, and depth of subsurface defects by ultrasound lock-in thermography. The phase difference between defective areas and non-defective areas illustrates the qualitative analysis of the shape and the boundary of the subsurface defect. In order to accurately estimate the shape, boundary and depth of the defects, the optimal threshold value method is proposed to identify the shape and boundary of the subsurface defects based on the canny operator of image processing. A self–adaption artificial neural network (ANN) with Takagi-Sugeno modeling is proposed to determine the depth of the subsurface defect. Experimental results for a steel plate with artificial subsurface defects show good agreement with actual values.

Info:

Periodical:

Advanced Materials Research (Volumes 301-303)

Edited by:

Riza Esa and Yanwen Wu

Pages:

635-640

DOI:

10.4028/www.scientific.net/AMR.301-303.635

Citation:

J. Y. Liu et al., "Research on the Quantitative Analysis of Subsurface Defects for Nondestructive Testing by Ultrasound Lock-In Thermography", Advanced Materials Research, Vols. 301-303, pp. 635-640, 2011

Online since:

July 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.