Evidence map›Paper›PMID 39970487›Full record

ArticleUltrasonics sonochemistry2025

Experimental and Eulerian-Lagrangian numerical investigation on cavitation erosion characteristics in Venturi pipes with different divergent angles.

Qing Yang, Mingming Chen, Chengqian Pei, Bo Liu, Meng Zhao, Xuanjun Wang, Zhe Lin, Linmin Li

Abstract read
In one paragraph

Article in Ultrasonics sonochemistry, 2025. 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

8 authors.

Qing YangZhejiang Key Laboratory of Multiflow and Fluid Machinery, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Mingming ChenZhejiang Key Laboratory of Multiflow and Fluid Machinery, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Chengqian PeiHuadian Electric Power Research Institute Co., Ltd., Hangzhou 310030, China.
Bo LiuZhijian Laboratory, Rocket Force University of Engineering, Xi'an 710025, China. Electronic address: liubo603@163.com.
Meng ZhaoZhijian Laboratory, Rocket Force University of Engineering, Xi'an 710025, China.
Xuanjun WangZhijian Laboratory, Rocket Force University of Engineering, Xi'an 710025, China.
Zhe LinZhejiang Key Laboratory of Multiflow and Fluid Machinery, Zhejiang Sci-Tech University, Hangzhou 310018, China; Innovation Center for Key Basic Components of General Machinery, Hefei General Machinery Research Institute Co., Ltd., Hefei 230031, China. Electronic address: linzhe0122@zstu.edu.cn.
Linmin LiZhejiang Key Laboratory of Multiflow and Fluid Machinery, Zhejiang Sci-Tech University, Hangzhou 310018, China; Innovation Center for Key Basic Components of General Machinery, Hefei General Machinery Research Institute Co., Ltd., Hefei 230031, China. Electronic address: lilinmin@zstu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrodynamic cavitation (HC) is widely found in fluid machinery and has emerged as a significant technology in several engineering fields. To investigate the erosion characteristics caused by HC, experimental tests under varying conditions are conducted in this study using a Venturi test section with different divergent angles. The qualitative erosion risk distributions under different conditions are represented through paint experiments, showing that the erosion risk increases as the divergent angle decreases. Subsequently, a Eulerian-Lagrangian multiscale cavitation model is adopted to simulate HC in the test section. This model directly resolves large-scale cavities using the volume of fluid (VOF) method and simultaneously tracks sub-scale discrete bubbles using a discrete bubble model (DBM). A modified aggressive indicator [Li et al., Int. J. Mech. Sci. 262, 108,735 (2024)] is incorporated into the multiscale cavitation model to account for the erosion power produced by multiscale cavitation behaviors, thereby reproducing the distribution of cavitation erosion risks. Simulations corresponding to the experimental conditions are conducted, and the results show that the simulated cavitation features align well with the experimental observations. Furthermore, the cavitation erosion risk distributions predicted by the present model agree well with the paint tests, confirming the reliability of our model.

Indexed as

CavitationCavitation erosionEulerian-LagrangianMultiscale modelVenturi pipe

Identifiers

PMID39970487
PMCPMC11880768

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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.