Determining Damping Loss in Modeling GHz Acoustic Block through Inverse Analysis for Accurate Ultrasonic Wavefront Computation Apparatus

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Determining Damping Loss in Modeling GHz Acoustic Block through Inverse Analysis for Accurate Ultrasonic Wavefront Computation Apparatus
Title:
Determining Damping Loss in Modeling GHz Acoustic Block through Inverse Analysis for Accurate Ultrasonic Wavefront Computation Apparatus
Journal Title:
2023 IEEE International Ultrasonics Symposium (IUS)
Keywords:
Publication Date:
07 November 2023
Citation:
Yang, Z., Marvin Tan, X. H., Chen, D. S.-H., Juan, Z., Bui, V. P., Chai, K. T. C., Png, C. E., & Lal, A. (2023, September 3). Determining Damping Loss in Modeling GHz Acoustic Block through Inverse Analysis for Accurate Ultrasonic Wavefront Computation Apparatus. 2023 IEEE International Ultrasonics Symposium (IUS). https://doi.org/10.1109/ius51837.2023.10308087
Abstract:
The Ultrasonic wavefront computation apparatus (UWFCA) is designed to derive the Fourier Transform (FT) using gigahertz acoustic waves generated by piezoelectric transducer arrays. The waves propagate through acoustic blocks and an ultrasonic lens, yielding FT that can be digitized at the focal plane. In the full-wave simulation of the UWFCA, the damping loss within the acoustic blocks is usually approximated using an empirical value. However, the imprecise modeling of the GHz acoustic block can markedly degrade the accuracy of the FT results from UWFCA. To address this issue, we present an inverse analysis method to determine the damping loss in the GHz acoustic block for accurate UWFCA modeling based on measured data. We integrate the total displacement fields at different planes within the GHz acoustic block for various damping loss factors. Thus, the relationship between the loss and different damping loss factors is established. Based on the measured results, we employ regression method and inverse analysis to determine the accurate damping loss factor applicable to the gigahertz acoustic block. The simulated FT result agrees well with the analytical one, and the displacement distributions show how the acoustic waves form an FT pattern.
License type:
Publisher Copyright
Funding Info:
This research / project is supported by the A*STAR - RIE2020 Advanced Manufacturing and Engineering (AME) Programmatic Fund - Ultrasonic Wavefront Computing
Grant Reference no. : A19E8b0102
Description:
© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISSN:
1948-5727
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