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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

Wave propagation in an elastic half-space at high frequencies

Gridin, Dmitri January 1999 (has links)
No description available.

Fusion of multiprobe NDT data

Gros, X. E. January 1995 (has links)
No description available.

Acoustic resonance spectroscopy (ARS) of concrete components

Xia, Xiahua January 1997 (has links)
No description available.

Experimental determination of transient dynamic response of fibre reinforced polymer composites

Okoli, Okenwa Obinna Ifeanyichukwu-Izejiora January 1996 (has links)
No description available.

An analytical use of stress waves for the detection of defects in trees

Lawday, Geoffrey January 1998 (has links)
No description available.

Investigation of an all-optical laser ultrasound SAW system with respect to velocity measurement and imaging

Linnane, Francis January 1998 (has links)
No description available.

A random signal ultrasonic test system for highly attenuating media

White, John D. H. January 1992 (has links)
No description available.

Computer aided ultrasonic flaw detection and characterization /

Tsang, Wai-ming, Peter. January 1987 (has links)
Thesis (Ph. D.)--University of Hong Kong, 1987.

In situ determination of strength and stiffness of structural lumber and composite products

Gray, Jody D., January 2003 (has links)
Thesis (M.S.)--West Virginia University, 2003. / Title from document title page. Document formatted into pages; contains xi, 154 p. : ill. (some col.). Vita. Includes abstract. Includes bibliographical references (p. 112-122).

Vision based systems for hardness testing and NDT

Smith, Ian Colin January 1990 (has links)
The work presented in this thesis concerns the development of vision based systems for two hardness (destructive) tests, namely; the Shore and Vickers and a quality assurance non-destructive test. In each case the vision system is based on an IBM PC compatible computer fitted with a commercially available frame store. Bespoke image analysis software was written using the C language for each system. In the Shore test, hardness is judged by the maximum rebound height attained by an indenter incident on a test sample. The purpose of the vision system is to measure the rebound height automatically. Laser light is used to illuminate the indenter and a vidicon vision camera is used to view its motion. Two approaches to the problem are considered; one in which image data is analysed in real time and one in which image·data is merely stored in real time and analysed a posteriori. Non-real time analysis is shown to be superior to real time analysis in terms of accuracy and reliablity and its software implementation is discussed in detail. The Vickers test uses the size of the permanent impression left by an indenter forced into the test material under a known load as a hardness index. In this case the purpose of the vision system is to measure the size of the indentation automatically. The original image analysis algorithms are shown to be capable of analysing good quality samples but are unreliable when applied to poor quality specimens. Further, fault-tolerant, algorithms are described to provide reliable and accurate results over wide variations in sample quality.The quality assurance application involves automated visual inspection of novel ferrite components for defects. Each component is approximately 8 mm in diameter, annular in shape, and coated with aluminium. Laser light is used to illuminate individual components which arc viewed using a charge-coupled device (CCD) video camera. Image analysis algorithms for characterising defects in component geometry and surface finish arc discussed. The system is shown to capable of measuring component edge eccentricity and hole offset as well as providing a quantitative description of surface chips and cracks. The system is further shown to be capable of separately classifying surface defects extending to the edge of a component. Calculation of shape parameters for surface defects also provides a means of distinguishing cracks from surface chips.

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