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Smart Capacitive Transducer for High-Frequency Vibration Measurement.

Vygantas Augutis1, Gintautas Balčiūnas1, Pranas Kuzas2

  • 1Metrology Institute, Kaunas University of Technology, Studentu Str., 50-454 Kaunas, Lithuania.

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|April 28, 2025
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A novel smart capacitive transducer (SCT) enables accurate, non-contact high-frequency vibration (HFV) measurements. Its auto-calibration feature minimizes errors from positioning and surface variations, enhancing reliability.

Keywords:
auto-calibrating capacitive transducercapacitive transducerhigh-frequency vibration measurementnanometer displacement measurement

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Area of Science:

  • * Instrumentation and Measurement Science
  • * Materials Science and Engineering

Background:

  • * Accurate measurement of high-frequency vibrations (HFV) is crucial in various engineering applications.
  • * Traditional contact-based methods can be intrusive and affected by surface properties.
  • * Non-contact techniques are desirable for HFV measurement, but often lack self-correction capabilities.

Purpose of the Study:

  • * To develop a smart capacitive transducer (SCT) for non-contact HFV measurement.
  • * To incorporate an auto-calibration mechanism to improve measurement accuracy.
  • * To validate the SCT's performance for solid surfaces at frequencies above 10 kHz.

Main Methods:

  • * Development of a 5 mm diameter smart capacitive transducer (SCT).
  • * Non-contact measurement principle utilizing a thin dielectric layer on a conductive surface.
  • * Implementation of auto-calibration via induced electrode vibration using a piezo-excited waveguide.

Main Results:

  • * Demonstrated non-contact vibration measurement for solid surfaces from 10 kHz to 1 MHz.
  • * Achieved picometer-level resolution for HFV amplitude measurement.
  • * Exhibited a repeatability error of only a few percent, significantly reduced by auto-calibration.

Conclusions:

  • * The developed SCT offers a robust solution for accurate, non-contact HFV measurements.
  • * The integrated auto-calibration significantly mitigates errors related to transducer positioning and object surface characteristics.
  • * This technology holds promise for advanced structural health monitoring and dynamic analysis.