Evidence map›Paper›PMID 39713633›Full record

ArticleACS omega2024

Modeling and Simulation of Micron Particle Agglomeration in a Turbulent Flow: Impact of Cylindrical Disturbance and Particle Properties.

Shuang Wang, Lin Mu, Chu Wang, Xue Li, Jun Xie, Yan Shang, Hang Pu, Ming Dong

Abstract read
In one paragraph

Article in ACS omega, 2024. 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.

Shuang WangSchool of Energy and Power Engineering, Dalian University of Technology, Dalian 116024, PR China.
Lin MuSchool of Energy and Power Engineering, Dalian University of Technology, Dalian 116024, PR China.ORCID https://orcid.org/0000-0002-1020-8716
Chu WangSchool of Energy and Power Engineering, Dalian University of Technology, Dalian 116024, PR China.ORCID https://orcid.org/0009-0009-3507-0926
Xue LiSchool of Optical Information and Energy Engineering, Wuhan Institute of Technology, Wuhan 430205, China.ORCID https://orcid.org/0009-0006-6263-7463
Jun XieCollege of Energy and Environment, Shenyang Aerospace University, Shenyang 110136, China.ORCID https://orcid.org/0000-0002-3262-0488
Yan ShangSchool of Energy and Power Engineering, Dalian University of Technology, Dalian 116024, PR China.
Hang PuSchool of Energy and Power Engineering, Dalian University of Technology, Dalian 116024, PR China.
Ming DongSchool of Energy and Power Engineering, Dalian University of Technology, Dalian 116024, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fly ash generated by coal combustion is one of the main sources of PM2.5, so the particulate matter removal technology of coal-fired boilers is receiving increasing attention. Turbulent agglomeration has emerged as a powerful tool for improving the efficiency of removing fine particulates from environments, sparking interest in its study. Our research meticulously investigated the influence of cylindrical vortex wakes on particle flow, agglomeration patterns, and the dynamics between fluids and particles. By employing a novel hybrid computational approach that integrates the discrete element method (DEM) with large Eddy simulation (LES), we were able to accurately simulate particle-particle interactions. The study focused on understanding how particles with different diameters (2, 5, 10, and 20 μm), densities (2,500, 5,000, 7,500, and 10,000 kg·m

Identifiers

PMID39713633
PMCPMC11656363

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.