Evidence map›Paper›PMID 31185661›Full record

ArticleMaterials (Basel, Switzerland)2019

Study on the Viscoelasticity Measurement of Materials Based on Surface Reflected Waves.

Jun-Jie Chang, Yuan-Yuan Li, Xue-Feng Zeng, Hai-Ying Zhong, Tao-Lei Wan, Chao Lu

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Jun-Jie ChangKey Lab of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang 330063, China. junjiechang@hotmail.com.
Yuan-Yuan LiKey Lab of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang 330063, China. liyy628@foxmail.com.
Xue-Feng ZengKey Lab of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang 330063, China. abc997178163@gmail.com.
Hai-Ying ZhongKey Lab of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang 330063, China. 13576740715@139.com.
Tao-Lei WanKey Lab of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang 330063, China. wtl170802@163.com.
Chao LuKey Lab of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang 330063, China. luchaoniat@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reflected waves received from ultrasonic waves propagating in materials contain information that constitutes the physical properties, material composition, defects, and degradation states. When measuring the dynamic viscoelasticity, the traditional bottom reflection method (BRM) cannot be used to measure the bottom irregular samples. In this paper, the storage modulus, loss modulus, and loss tangent are extracted by the surface reflection method (SRM) to evaluate the elastomer sample viscoelasticity. A theoretical study on the phase change caused by multiple reflections in the case of non-thin layer coupling is conducted. Based on this research, the experimental system is built. The results show that considering the thickness of the coupling layer can optimize the determination of viscoelasticity and reduce the error of the viscoelastic evaluation results of an elastomer with the traditional BRM. Finally, based on the principle of the SRM, the density of the elastomers is measured, and the feasibility and overall efficiency of this method are verified by experiments.

Indexed as

complex reflectivitydynamic viscoelasticityparameter optimizationSRM

Identifiers

PMID31185661
PMCPMC6601282

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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.