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Multiple reflection wave detection method based on inversion of multilayer material transfer function.

Hao Jiang¹, Chong Chen¹, Xianwen Xue¹

¹Qingdao Innovation and Development Center of Harbin Engineering University, Qingdao, Shandong 266000, China; Harbin Engineering University, Harbin, Heilongjiang 150001, China; Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China.

|October 29, 2024

Summary

This summary is machine-generated.

This study introduces a novel ultrasonic testing method for multi-layer composites. It effectively detects defects by analyzing acoustic wave propagation and inverting transfer functions from reflection signals.

Keywords:

Multi-layer material Multiple reflection wave Non-destructive testing Ultrasonic

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Area of Science:

Materials Science
Non-Destructive Testing
Acoustics

Background:

Conventional ultrasonic testing faces challenges in multi-layer composites due to signal interference from multiple reflections.
Material acoustic impedance differences and attenuation complicate accurate defect detection in layered structures.

Purpose of the Study:

To develop an advanced ultrasonic testing method for analyzing acoustic wave propagation in multi-layer composite materials.
To propose a novel algorithm for inverting the transfer function of individual layers from complex reflection signals.
To enable reliable defect detection in multi-layer composites using derived pulse responses.

Main Methods:

Analysis of acoustic wave propagation through multi-layer composite materials.
Development of an algorithm to invert the transfer function of a single layer from multiple reflection signals.
Utilizing pulse responses derived from the inversion algorithm for defect identification.

Main Results:

Successfully analyzed acoustic wave propagation in multi-layer materials with defects.
Developed and validated an algorithm for accurate transfer function inversion of individual layers.
Demonstrated the effectiveness of the proposed method in detecting defects using pulse responses.

Conclusions:

The proposed ultrasonic testing method overcomes limitations of conventional techniques for multi-layer composites.
The developed inversion algorithm and pulse response analysis provide a robust approach for defect detection.
This method enhances the non-destructive evaluation capabilities for layered materials.