Evidence map›Paper›PMID 38793210›Full record

ArticleMicromachines2024

Grooving and Absorption on Substrates to Reduce the Bulk Acoustic Wave for Surface Acoustic Wave Micro-Force Sensors.

Yang Feng, Haoda Yu, Wenbo Liu, Keyong Hu, Shuifa Sun, Zhen Yang, Ben Wang

Abstract read
In one paragraph

Article in Micromachines, 2024. 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

7 authors.

Yang FengSchool of Information Science and Technology, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0002-9917-2878
Haoda YuSchool of Information Science and Technology, Hangzhou Normal University, Hangzhou 311121, China.
Wenbo LiuSchool of Information Science and Technology, Hangzhou Normal University, Hangzhou 311121, China.
Keyong HuSchool of Information Science and Technology, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0002-8963-6237
Shuifa SunSchool of Information Science and Technology, Hangzhou Normal University, Hangzhou 311121, China.
Zhen YangSchool of Electronic Information, Huzhou College, Huzhou 313002, China.
Ben WangSchool of Information Science and Technology, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0002-5341-1642

Funding

Joint Funds of the Zhejiang Provincial Natural Science Foundation of China LHY21E090004Scientific Research Fund of Zhejiang Provincial Education Department Y202250022"The Professional Development Projects of Teachers" for Domestic Visiting Scholars of Colleges and Universities in 2022 FX2022075Zhejiang Provincial Natural Science Foundation of China LQ23F010005Zhejiang Provincial Natural Science Foundation of China LY24F030012
6 · The paper itself

Abstract

Improving measurement accuracy is the core issue with surface acoustic wave (SAW) micro-force sensors. An electrode transducer can stimulate not only the SAW but also the bulk acoustic wave (BAW). A portion of the BAW can be picked up by the receiving transducer, leading to an unwanted or spurious signal. This can harm the device's frequency response characteristics, thereby potentially reducing the precision of the micro-force sensor's measurements. This paper examines the influence of anisotropy on wave propagation, and it also performs a phase-matching analysis between interdigital transducers (IDTs) and bulk waves. Two solutions are shown to reduce the influence of BAW for SAW micro sensors, which are arranged with acoustic absorbers at the ends of the substrate and in grooving in the piezoelectric substrate. Three different types of sensors were manufactured, and the test results showed that the sidelobes of the SAW micro-force sensor could be effectively inhibited (3.32 dB), thereby enhancing the sensitivity and performance of sensor detection. The SAW micro-force sensor manufactured using the new process was tested and the following results were obtained: the center frequency was 59.83 MHz, the fractional bandwidth was 1.33%, the range was 0-1000 mN, the linearity was 1.02%, the hysteresis was 0.59%, the repeatability was 1.11%, and the accuracy was 1.34%.

Indexed as

bulk acoustic wave (BAW)micro-force sensorsurface acoustic wave (SAW)

Identifiers

PMID38793210
PMCPMC11123284

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Registered trials

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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.