Suspension characteristics of the coal-quartz dust mixture in the working environment during the fully mechanized mining process

Suspension characteristics of the coal-quartz dust mixture in the working environment during the fully mechanized mining process | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Suspension characteristics of the coal-quartz dust mixture in the working environment during the fully mechanized mining process Fan Geng, Jiajun An, Yingchao Wang, Changgeng Gui, Heng Guo, Tianliang Wen This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2641681/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 04 Sep, 2023 Read the published version in Environmental Science and Pollution Research → Version 1 posted 5 You are reading this latest preprint version Abstract Dust exposures during mining activity can result in lung diseases such as Coal workers' pneumoconiosis (CWP) and silicosis, which are closely related to quartz dust. In the present study, coal-quartz dust mixture were investigated considering the particle size and the specific constituents. Multiple numerical techniques, including Computational Fluid Dynamics and Discrete Element Method (CFD-DEM), hard sphere model and direct monte carlo simulation (DSMC) were presented, and the dust diffusion process was investigated. According to the validation of the numerical model, the suspension characteristics of the polydisperse mixed dust were analyzed in detail. The results show that PM10 responds quickly with good following performance with the air flow. The particle size increases gradually from top to bottom. When the air velocity is low, the percentage of coal dust in the breathing zone tends to be 50%. The results provide theoretical guidance for the comprehensive prevention of the mixed dust in underground coal mines. quartz dust coal dust dust mixture suspension characteristics CFD-DEM method Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Full Text Supplementary Files Table.doc Cite Share Download PDF Status: Published Journal Publication published 04 Sep, 2023 Read the published version in Environmental Science and Pollution Research → Version 1 posted Reviewers agreed at journal 29 May, 2023 Reviewers invited by journal 29 May, 2023 Editor invited by journal 05 Apr, 2023 Editor assigned by journal 31 Mar, 2023 First submitted to journal 24 Mar, 2023 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-2641681","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":204881356,"identity":"b46c8915-5dbe-47b2-b487-1567285554fe","order_by":0,"name":"Fan 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