Evidence map›Paper›PMID 39043923›Full record

ArticleScientific reports2024

Numerical study of cavitation shock wave emission in the thin liquid layer by power ultrasonic vibratory machining.

Tai Gong, Xijing Zhu, Linzheng Ye, Yingze Fu

Abstract read
In one paragraph

Article in Scientific reports, 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

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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

4 authors.

Tai GongShanxi Key Laboratory of Advanced Manufacturing Technology, North University of China, Taiyuan, 030051, Shanxi, China.
Xijing ZhuShanxi Key Laboratory of Advanced Manufacturing Technology, North University of China, Taiyuan, 030051, Shanxi, China. zxj161501@163.com.
Linzheng YeShanxi Key Laboratory of Advanced Manufacturing Technology, North University of China, Taiyuan, 030051, Shanxi, China.
Yingze FuShanxi Key Laboratory of Advanced Manufacturing Technology, North University of China, Taiyuan, 030051, Shanxi, China.

Funding

National Natural Science Foundation of China 51975540National Natural Science Foundation of China 52005455Postgraduate Education Innovation Project in Shanxi Province 2022Y577The 18th Graduate Science and Technology Project of North University of China 20221818The Central Guidance on Local Science and Technology Development Fund of Shanxi Province YDZJSX2022C005
6 · The paper itself

Abstract

In the field of power ultrasonic vibration processing, the thin liquid layer nestled between the tool head and the material serves as a hotbed for cavitation shock wave emissions that significantly affect the material's surface. The precise manipulation of these emissions presents a formidable challenge, stemming from a historical deficit in the quantitative analysis of both the ultrasonic enhancement effect and the shock wave intensity within this niche environment. Our study addresses this gap by innovatively modifying the Gilmore-Akulichev equation, laying the groundwork for a sophisticated bubble dynamics model and a pioneering shock wave propagation model tailored to the thin liquid layer domain. Firstly, our study investigated the ultrasound enhancement effect under various parameters of thin liquid layers, revealing an amplification of ultrasound pressure in the thin liquid layer area by up to 7.47 times. The mathematical model was solved using the sixth-order Runge-Kutta method to examine shock wave velocity and pressure under different conditions. our study identified that geometric parameters of the tool head, thin liquid layer thickness, ultrasonic frequency, and initial bubble radius all significantly influenced shock wave emission. At an ultrasonic frequency of 60 kHz, the shock wave pressure at the measurement point exhibited a brief decrease from 182.6 to 179.5 MPa during an increase. Furthermore, rapid attenuation of the shock wave was found within the range of R

Indexed as

Power ultrasonicShock waveThin liquid layersUltrasonic cavitation

Identifiers

PMID39043923
PMCPMC11266710

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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.