Evidence map›Paper›PMID 35336478›Full record

ArticleSensors (Basel, Switzerland)2022

Sensitivity-Bandwidth Optimization of PMUT with Acoustical Matching Using Finite Element Method.

Le-Ming He, Wei-Jiang Xu, Yan Wang, Jia Zhou, Jun-Yan Ren

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Le-Ming HeState Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 201203, China.ORCID 0000-0003-4131-3508
Wei-Jiang XuUniversité Polytechnique Hauts-de-France, CNRS, Université de Lille, Centrale Lille, UMR 8520-IEMN, DOAE, F-59313 Valenciennes, France.ORCID 0000-0002-7309-2343
Yan WangState Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 201203, China.ORCID 0000-0002-5099-7350
Jia ZhouState Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 201203, China.ORCID 0000-0002-9098-5661
Jun-Yan RenState Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 201203, China.ORCID 0000-0002-7799-6251

Funding

National Natural Science Foundation of China 62174036
6 · The paper itself

Abstract

A new model in finite element method to study round-trip performance of piezoelectric micromachined ultrasonic transducers (pMUTs) is established. Most studies on the performance of pMUT are based only on the transmission sensibility, but the reception capacity is as much important as the transmission one, and is quite different from this latter. In this work, the round-trip sensitivity of pMUT is defined as the product of the frequency response of transmitted far field pressure to source voltage excitation and that of reception output to return wave pressure. Based on this sensitivity characteristic, firstly, a multi-parameter optimization for a cavity pMUT is performed using the sensitivity-bandwidth product parameter SBW as criterion. The radii of the electrode and the piezoelectric layer, the thicknesses of the piezoelectric layer and the vibration diaphragm are adjusted to maximize the performance. Secondly, an acoustic matching method is proposed and applied to pMUTs for the first time. As a result, the round-trip sensitivity can be evaluated and the pulse-echo response of wide-band excitation can be simulated, giving the most quantitative and intuitive feedback for pMUT design. The optimization enhances the sensitivity-bandwidth product by 52% when the top electrode and piezoelectric layer are both etched to 75% radius of the cavity beneath; the introduction of an acoustic matching layer shows significant bandwidth expansion in both the transmitting and receiving process.

Indexed as

acoustic matchingbandwidthFEMoptimizationPMUTsround-tripsensitivity

Identifiers

PMID35336478
PMCPMC8951133

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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.