A Shear-Wave Microprobe Utilizing Surface-Wave Mode Conversion

  • M. S. Good
  • E. R. Green


A very small aperture ultrasonic probe for detecting shear waves was desired for ultrasonic shear-wave field mapping [1–3]. Several designs of such a probe were developed and evaluated. During the course of probe development, a very interesting phenomenon was observed and was used to build an improved shear-wave microprobe that is unique in design and capability. This report describes design evolution, advantages, and applications of this new probe.


Surface Wave Piezoelectric Crystal Diameter Cross Section Point Receiver Ultrasonic Welding 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Good, M. S. and L. G. Van Fleet, in 8th International Conference on NDE in the Nuclear Industry, edited by D. Stahl (American Society for Metals International, Metals Park, Ohio, 1987), pp. 657–666.Google Scholar
  2. 2.
    Good, M. S. and L. G. Van Fleet, in Review of Progress in Quantitative Nondestructive Evaluation, edited by D. O. Thompson and D. E. Chimenti (Plenum Press, New York, 1988), Vol. 7A, pp. 637–646.Google Scholar
  3. 3.
    Good, M. S. and E. R. Green, these Proceedings.Google Scholar
  4. 4.
    Roderick, R. L., The Radiation Pattern from a Rotationally Symmetric Stress Source on a Semi-Infinite Solid, Metals Research, Brown University, 1950.Google Scholar
  5. 5.
    Miller, G. F. and H. Pursey, The Field and Radiation Impedance ofMechanical Radiators on the Free Surface of a Semi-Infinite Isutropic Solid, Royal Society, A, Vol. 223, pp. 521–541, 1954.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 1989

Authors and Affiliations

  • M. S. Good
    • 1
  • E. R. Green
    • 1
  1. 1.Pacific Northwest LaboratoryBattelle Memorial InstituteRichlandUSA

Personalised recommendations