FEM-Based Design of Mass-Spring Acoustic Matching Layers for Ultra-High-Frequency Ultrasonic Transducers with Half-Concave Piezoelectric Elements.

Jianxin Zhao, Zhipeng Zhang, Zhaoxi Li, Yugao Li, Yaocheng Li, Guohua Huang, Yintang Yang

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Jianxin ZhaoNorthwest Institute of Mechanical and Electrical Engineering, Xianyang 712099, China.

Zhipeng ZhangNorthwest Institute of Mechanical and Electrical Engineering, Xianyang 712099, China.

Zhaoxi LiFaculty of Integrated Circuits, Xidian University, Xi'an 710071, China.ORCID 0000-0003-4541-7371

Yugao LiNorthwest Institute of Mechanical and Electrical Engineering, Xianyang 712099, China.

Yaocheng LiNorthwest Institute of Mechanical and Electrical Engineering, Xianyang 712099, China.

Guohua HuangNorthwest Institute of Mechanical and Electrical Engineering, Xianyang 712099, China.

Yintang YangFaculty of Integrated Circuits, Xidian University, Xi'an 710071, China.ORCID 0000-0001-9745-5404

Funding

Key Research and Development Project of Xianyang City L2025-ZDYF-GDZB-003

6 · The paper itself

Abstract

High-frequency ultrasonic transducers are pivotal for detecting minute defects, offering distinct advantages in terms of non-destructive evaluation, non-invasiveness, and superior spatial resolution. However, achieving effective focusing and efficient acoustic transmission for ultra-high-frequency ultrasonic transducers is a significant challenge. To address this challenge, a mass-spring acoustic matching layer is designed for a transducer based on a half-concave LiNbO

Indexed as

acoustic matching layerhalf-concavemass–springultra-high frequencyultrasonic transducer

Identifiers

PMID42515218

DOI10.3390/s26144334

PMCPMC13417595

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LicenceCC BY

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.