Evidence map›Paper›PMID 39275731›Full record

ArticleSensors (Basel, Switzerland)2024

Enhancing Ultrasonic Echo Response of AlN Thin Film Transducer Deposited by RF Magnetron Sputtering.

Fengqi Wang, Qinyan Ye, Kun Luo, Xulin He, Xiaolong Ran, Xingping Zheng, Cheng Liao

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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. Review
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.

Fengqi WangChengdu Development Center of Science and Technology of CAEP, Chengdu 610299, China.
Qinyan YeChengdu Development Center of Science and Technology of CAEP, Chengdu 610299, China.
Kun LuoChengdu Development Center of Science and Technology of CAEP, Chengdu 610299, China.
Xulin HeChengdu Development Center of Science and Technology of CAEP, Chengdu 610299, China.
Xiaolong RanChengdu Development Center of Science and Technology of CAEP, Chengdu 610299, China.
Xingping ZhengChengdu Development Center of Science and Technology of CAEP, Chengdu 610299, China.
Cheng LiaoChengdu Development Center of Science and Technology of CAEP, Chengdu 610299, China.

Funding

Sichuan Science and Technology Program 2023YFG0230
6 · The paper itself

Abstract

Accurate measurement of the pretightening stress for bolts has great significance for improving the assembly quality and safety, especially in severe environments. In this study, AlN thin film transducers were deposited on GH4169 nickel base alloy bolts using the RF magnetron sputtering, enabling a systematic investigation into the correlation between structures and the intensity of ultrasonic echo signals. Employing the finite element method resulted in consistency with the experimental data, enabling further exploration of the enhancement mechanism. With the increasing thickness of both the piezoelectric layer and the electrode layer, the intensity of the ultrasonic echo signals saw a great enhancement. The maximum-intensity observed increase is 14.7 times greater than that of the thinnest layers. Specifically, the thicker piezoelectric layer improves its mechanical displacement, while the increased thickness of the electrode layer contributes to better densification. An electrode diameter of nearly 4 mm is optimal for an AlN thin film transducer of M8 bolts. For pretightening the stress measurement, the sample with a strong and stable echo signal shows a low measurement error of pretightening below ±2.50%.

Indexed as

AlN thin filmmagnetron sputteringpretightening stressstructure optimizationtransducerultrasonic echo

Identifiers

PMID39275731
PMCPMC11397913

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.