Evidence map›Paper›PMID 31216786›Full record

ArticleSensors (Basel, Switzerland)2019

Modeling Flaw Pulse-Echo Signals in Cylindrical Components Using an Ultrasonic Line-Focused Transducer with Consideration of Wave Mode Conversion.

Weixin Wang, Xiling Liu, Xiongbing Li, Gang Xu, Shuzeng Zhang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. 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
0.5field-weighted citation impact, top 38% of its field
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, 6 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Weixin WangSchool of Traffic and Transportation Engineering, Central South University, Changsha 410075, China. wwx2017@csu.edu.cn.
Xiling LiuSchool of Traffic and Transportation Engineering, Central South University, Changsha 410075, China. xlliu@csu.edu.cn.
Xiongbing LiSchool of Traffic and Transportation Engineering, Central South University, Changsha 410075, China. lixb_ex@163.com.
Gang XuChina Rolling Stock Corporation Qingdao Sifang Co., Ltd., Qingdao 266111, China. 15265211573@163.com.
Shuzeng ZhangSchool of Traffic and Transportation Engineering, Central South University, Changsha 410075, China. sz_zhang@csu.edu.cn.ORCID 0000-0002-5016-3727
Central South University · CN

Funding

National Key R&D Program of China 2017YFB1201201
6 · The paper itself

Abstract

Investigations on flaw responses can benefit the nondestructive testing of cylinders using line-focused transducers. In this work, the system function, the wave beam model, and a flaw scattering model are combined to develop an ultrasonic measurement model for line-focused transducers to predict flaw responses in cylindrical components. The system function is characterized using reference signals by developing an acoustic transfer function for line-focused transducers, which works at different distances for both planar and curved surfaces. The wave beams in cylindrical components are modeled using a multi-Gaussian beam model, where the effects of wave mode conversion and curvatures of cylinders are considered. Simulation results of wave beams are provided to analyze their propagation behaviors. The proposed ultrasonic measurement model is certified from good agreement between the experimental and predicted signals of side-drilled holes. This work provides guidance for evaluating the detection ability of line-focused transducers in cylindrical component testing applications.

Indexed as

cylindrical componentline focused transducermulti-Gaussian beam modelultrasonic measurement modelwave mode conversion

Identifiers

PMID31216786
PMCPMC6632046
OpenAlexW2952843747

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.