Evidence map›Paper›PMID 34746585›Full record

ArticleACS omega2021

Piezoelectric Effect and Ignition Characteristics of Coal Mine Gob Roof Collapse.

Ya-Nan Wang, De-Ming Wang, Hai-Hui Xin, Yun-Fei Zhu, Zhenhai Hou, Wei Zhang, Min Li

Abstract read
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Article in ACS omega, 2021. 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

7 authors.

Ya-Nan WangFaculty of Safety Engineering, China University of Mining & Technology, Xuzhou, Jiangsu 221116, China.
De-Ming WangFaculty of Safety Engineering, China University of Mining & Technology, Xuzhou, Jiangsu 221116, China.ORCID https://orcid.org/0000-0002-9954-6278
Hai-Hui XinState Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, No. 1 University Road, Xuzhou, Jiangsu 221116, PR China.ORCID https://orcid.org/0000-0002-5315-0905
Yun-Fei ZhuDepartment of Mining Engineering, Shanxi Institute of Technology, Yangquan 045000, Shanxi, China.
Zhenhai HouFaculty of Safety Engineering, China University of Mining & Technology, Xuzhou, Jiangsu 221116, China.
Wei ZhangFaculty of Safety Engineering, China University of Mining & Technology, Xuzhou, Jiangsu 221116, China.
Min LiSchool of Resource, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing studies of coal self-ignition and impact frictional sparks do not provide valid support for the analysis of ignition sources in all cases of methane explosions in the gob. In this paper, the explosion in the gob of the Renlou coal mine is used to investigate the piezoelectric effect and ignition characteristics of roof collapse in identifying a new ignition source of gas explosion. Experimental and theoretical analyses conclude that the piezoelectric effect is produced by quartz, which is the main constituent of the roof sandstone. During the loading process, the piezoelectric effect and compressive strength are key factors in the gathering of free charges on rock tips. During rupture, the rock tip retains a large number of charges, forming a ″point-surface″ effect, which triggers an electron avalanche accompanied by an orange-yellow spark lasting over 22 ms, far exceeding the ionization energy and ignition induction period of methane-air mixtures. The piezoelectric effect and compressive strength of the rock cause the generation of electrical sparks, which is the ignition source of the explosion in the gob of Renlou mine II7

Identifiers

PMID34746585
PMCPMC8567394

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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.