Evidence map›Paper›PMID 37050771›Full record

ArticleSensors (Basel, Switzerland)2023

Axial Load Measurement of Bolts with Different Clamping Lengths Based on High-Frequency Ultrasonic ZnO Film Sensor.

Xuechao Jing, Hongwei Dai, Wanli Xu, Yue Zhao, Jun Zhang, Bing Yang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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

6 authors.

Xuechao JingSchool of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China.
Hongwei DaiSchool of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China.
Wanli XuSchool of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China.
Yue ZhaoSchool of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China.
Jun ZhangSchool of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China.ORCID 0000-0002-5213-0857
Bing YangSchool of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China.

Funding

National Key Research and Development Project of China No. 2022YFB4601000
6 · The paper itself

Abstract

The ultrasonic testing method has been widely used for measuring the axial load of bolts. However, systematic calibrations are prerequisite if specific bolts have different clamping length configurations, which leads to low efficiency and measurement errors. The focus of this work was to measure the axial load of bolts with different clamping lengths by proposing a method of clamping length correction based on piezoelectric films in order to avoid the complicated calibration steps. Firstly, the relationship between longitudinal wave time-of-flight (TOF) and axial load under different clamping lengths was studied to correct the difference between the effective stress length and the actual clamping length. Secondly, the high-frequency ZnO piezoelectric film sensor was fabricated on the bolts to improve the accuracy of longitudinal wave TOF measurement. The results showed that the center frequency of the fabricated ultrasonic sensor reached 25 MHz, which could realize the high precision measurement of TOF. The proposed correction model proved to be effective for decreasing the measurement error below 2.7% in this experiment. In conclusion, the proposed method simplified the calibration procedure for different application configurations of the same bolt and realized the efficient measurement of bolt axial load.

Indexed as

acoustoelasticitybolt load measurementeffective clamping lengthultrasoundZnO piezoelectric film

Identifiers

PMID37050771
PMCPMC10098623

What OpenQuestion holds

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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.