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Updated: Nov 10, 2025

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging

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Published on: June 16, 2023

Field-deployable measurement technique for absolute acoustic nonlinearity parameter values.

To Kang¹, Jeong K Na², Tackgyu Lee³

¹Korea Atomic Energy Research Institute (KAERI), 111 Daedeok-daero 989beon-gil, Yuseong-gu, Daejeon 34057, Republic of Korea.

|April 2, 2021

Summary

This summary is machine-generated.

A new field-deployable method accurately measures absolute acoustic nonlinearity parameter β values, crucial for assessing material degradation. This overcomes limitations of existing piezoelectric methods for real-world applications.

Keywords:

Acoustic nonlinearity parameter Capacitive detection Modified piezoelectric sensor detection Piezoelectric sensor-based detection

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Area of Science:

Materials Science
Non-Destructive Testing
Acoustics

Background:

Acoustic nonlinearity parameter β changes correlate with material degradation.
Current piezoelectric methods measure relative β changes, not absolute values.
Capacitive methods measure absolute β but are complex and not field-deployable.

Purpose of the Study:

Develop a novel, field-deployable method for measuring absolute acoustic nonlinearity parameter β values.
Enable accurate quantification of material degradation in service conditions.
Compare the proposed method with existing capacitive and piezoelectric techniques.

Main Methods:

Nonlinear ultrasonic experiments were performed.
Three detection methods were employed: capacitive, conventional piezoelectric, and the proposed method.
Measurements were conducted on a copper single-crystal sample.

Main Results:

The proposed method yielded an absolute β value of 2.49.
The capacitive method yielded an absolute β value of 2.1.
The conventional piezoelectric method yielded inconsistent relative β values ranging from 90 to 130.

Conclusions:

The proposed field-deployable method accurately measures absolute β values.
The new method provides consistent results without the complexity of capacitive detection.
This advancement facilitates reliable in-situ material degradation assessment.