Evidence map›Paper›PMID 41280823›Full record

ArticleACS omega2025

Gas Emission Characteristics of Coal Particles Without Local Resistance and Optimization of the Emission Model.

Xiang Fu, Yifan Wang, Chaojun Fan, Xuan Liu, Bing Han, Zhiquan Wang, Qixuan Wu

Abstract read
In one paragraph

Article in ACS omega, 2025. 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

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

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

7 authors.

Xiang FuCollege of Mining, Liaoning Technical University, Fuxin 123000, China.
Yifan WangCollege of Mining, Liaoning Technical University, Fuxin 123000, China.ORCID https://orcid.org/0009-0003-6098-7820
Chaojun FanCollege of Mining, Liaoning Technical University, Fuxin 123000, China.ORCID https://orcid.org/0000-0003-4578-0760
Xuan LiuCollege of Mining, Liaoning Technical University, Fuxin 123000, China.
Bing HanChina Coal Technology & Engineering Group Shenyang Research Institute, Fushun 113122, China.
Zhiquan WangChina Coal Technology & Engineering Group Shenyang Research Institute, Fushun 113122, China.
Qixuan WuCollege of Mining, Liaoning Technical University, Fuxin 123000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The local resistance of the pipeline in the experimental device has an important influence on the speed of gas emission. The purpose of this study is to reveal the characteristics of gas emission from coal particles under the condition of no local resistance. Through the self-developed experimental device for gas emission from coal particles without local resistance, the rapid release of valves is realized, and the interference of local resistance on gas-free emission is eliminated. The results show that, under the condition of no local resistance experiment, the adsorption equilibrium pressure is positively correlated with the cumulative gas emission and the emission rate, and the coal particle size is negatively correlated with the two. And the diffusion amount and diffusion speed of the nonlocal resistance experiment in the initial stage of gas diffusion are greater than those of the resistance experiment. Based on the experimental conditions of no local resistance diffusion, the diffusion amounts of 0.5-1 mm and 2-3 mm in the first second accounted for more than 70% of the total amount, and the coal was crushed during the diffusion process. The unimpeded diffusion was divided into instantaneous and continuous diffusion periods, and the segmented model was established and optimized. The average fitting degree was more than 0.99, and the rationality of the segmented model was evaluated. This study reveals the law of coal particle gas emission after eliminating the influence of local resistance, which provides an important theoretical basis and experimental support for accurate prediction of gas emission.

Identifiers

PMID41280823
PMCPMC12631693

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.