Evidence map›Paper›PMID 41095000›Full record

ArticleSensors (Basel, Switzerland)2025

Research on Ultrasonic Focusing Stacked Transducers for Composite.

Yi Bo, Jie Li, Shunmin Yang, Chenju Zhou, Yutao Tian

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yi BoSchool of Instrument and Electronics, North University of China, Taiyuan 030051, China.
Jie LiSchool of Instrument and Electronics, North University of China, Taiyuan 030051, China.
Shunmin YangSchool of Instrument and Electronics, North University of China, Taiyuan 030051, China.ORCID 0000-0002-6091-8652
Chenju ZhouSchool of Instrument and Electronics, North University of China, Taiyuan 030051, China.
Yutao TianSchool of Instrument and Electronics, North University of China, Taiyuan 030051, China.

Funding

Research on the fundamental theory and methods of robust integrated navigation oriented towards multi-source complex interference environments 202303021221114Research on the Theory and Methods of Integrated Aerial Alignment After Launch for Airborne Combined Navigation 202103021224186
6 · The paper itself

Abstract

Most existing carbon fiber composite materials are formed by high-temperature molding of multiple layers of fiber cloth. During the manufacturing and usage processes, materials are prone to defects such as voids, delamination, and inclusions, which seriously threaten their service life and safety performance. Ultrasonic testing is currently a widely adopted method for detecting defects in carbon fiber composite materials. However, existing narrow-pulse ultrasonic transducers often have to sacrifice emission energy to achieve narrow-pulse emission, which results in their limited ability to penetrate thicker carbon fiber composite materials. To address this issue, this paper proposes the design of a focused laminated transducer. By stacking and bonding lead titanate piezoelectric wafers and using a concave lens made of organic glass to focus ultrasonic waves, the emission sound intensity of the ultrasonic transducer is enhanced. The simulation results show that the designed focused double-stack transducer has a directivity gain that is 4.49 dB higher than that of the traditional single-piezoelectric-wafer transducer. The transducer fabricated based on this design has successfully achieved effective detection of internal defects in carbon fiber composite materials.

Indexed as

carbon fiber compositesfocusing stacked transducersnarrow-pulse ultrasonic transducers

Identifiers

PMID41095000
PMCPMC12526906

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.