Evidence map›Paper›PMID 41686751›Full record

ArticlePloS one2026

Enhanced dust removal via the synergy of a standing wave acoustic field and high-pressure spray: An integrated experimental and numerical study.

Shixian Wu, Hui Zhu, Can Qi, Yongping Chen, Hui Yang, Chunyu Liu, Shiqiang Chen, Heqing Liu

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shixian WuSchool of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin, China.
Hui ZhuSchool of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin, China.ORCID https://orcid.org/0009-0003-7157-4933
Can QiGuangxi Key Laboratory of Clean Energy Equipment and Energy Saving Technology for Higher Education Institutions, Guilin University of Aerospace Technology, Guilin, China.
Yongping ChenGuangxi Key Laboratory of Clean Energy Equipment and Energy Saving Technology for Higher Education Institutions, Guilin University of Aerospace Technology, Guilin, China.
Hui YangGuangxi Key Laboratory of Clean Energy Equipment and Energy Saving Technology for Higher Education Institutions, Guilin University of Aerospace Technology, Guilin, China.
Chunyu LiuGuangxi Key Laboratory of Clean Energy Equipment and Energy Saving Technology for Higher Education Institutions, Guilin University of Aerospace Technology, Guilin, China.
Shiqiang ChenSchool of Resources, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan, China.
Heqing LiuSchool of Resources, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Occupational exposure to respirable coal dust poses severe health risks in underground mining operations, primarily through the development of coal workers' pneumoconiosis (CWP)-a progressive and irreversible pulmonary disease. To address this challenge, we developed an innovative dust suppression system that integrates ultrasonic atomization with acoustic agglomeration technology. The system operates via a dual-phase mechanism: ultrasonic atomization generates ultrafine water droplets (<10 μm) to form a heterogeneous dust-droplet dispersion, while high-frequency standing wave fields (20 kHz) concentrate airborne particles spatially, thereby enhancing interphase collisions between droplets and dust. The resulting agglomerates are subsequently removed by a high-pressure spray. System performance was systematically evaluated through scaled laboratory experiments that examined three critical operational parameters: nozzle orifice diameter (0.4-0.8 mm) of the high-pressure spray system, acoustic power density (60-180 W) utilized to generate the standing wave field, and duct airflow velocity (0.25-0.75 m/s). Numerical simulations integrating acoustic dynamics with CFD-DEM modeling were employed to elucidate particle trajectories and the spatiotemporal evolution of dust-droplet agglomerates within the coupled acoustic-flow field. Experimental results demonstrate a greater than 10% improvement in PM2.5 removal efficiency compared to conventional high-pressure spray systems. This enhancement is attributed to the synergistic effects of acoustic focusing and droplet entrapment. The study establishes a foundational framework for the development of acoustically enhanced pretreatment systems and offers a practical strategy for reducing respirable dust exposure in underground mining environments.

Indexed as

AcousticsDustOccupational ExposureCoalCoal MiningHumansParticle SizePressureCoalDust

Identifiers

PMID41686751
PMCPMC12904392

What OpenQuestion holds

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LicenceCC BY
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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.