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Diffraction correction for precision surface acoustic wave velocity measurements.

Alberto Ruiz1, Peter B Nagy

  • 1Department of Aerospace Engineering and Engineering Mechanics, University of Cincinnati, Ohio 45221-0700, USA.

The Journal of the Acoustical Society of America
|September 24, 2002
PubMed
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Surface acoustic wave (SAW) dispersion measurements can reveal near-surface material variations. This study shows that surface wave diffraction, not material changes, causes apparent dispersion on smooth surfaces, enabling more accurate measurements.

Area of Science:

  • Materials Science
  • Non-Destructive Testing
  • Acoustics

Background:

  • Surface wave dispersion measurements are crucial for characterizing surface treatments like shot-peening.
  • Distinguishing surface roughness effects from material variations (stress, texture) is challenging.
  • Advanced laser-ultrasonic techniques revealed unexpected dispersion on smooth surfaces.

Purpose of the Study:

  • To identify the cause of apparent surface acoustic wave (SAW) dispersion on smooth, untreated surfaces.
  • To develop a method for correcting dispersion measurements.
  • To improve the accuracy of non-destructive characterization of surface-treated materials.

Main Methods:

  • Utilized state-of-the-art laser-ultrasonic scanning and digital signal processing.

Related Experiment Videos

  • Investigated dispersion effects on both treated and untreated specimens.
  • Developed and validated a diffraction correction model for surface waves.

    • Main Results:

    • Observed a significant 0.1% dispersion effect on smooth surfaces, comparable to residual stress effects.
    • Demonstrated that surface acoustic wave (SAW) diffraction is the primary cause of this apparent dispersion.
    • Validated the diffraction correction model using laser-interferometric velocity measurements on aluminum.

    Conclusions:

    • Surface acoustic wave (SAW) diffraction mimics material dispersion, impacting non-destructive evaluation accuracy.
    • A diffraction correction model can enhance the precision of surface characterization.
    • This work refines methodologies for analyzing surface-treated materials.