{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T14:12:38Z","timestamp":1751897558872},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,8,10]],"date-time":"2022-08-10T00:00:00Z","timestamp":1660089600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,8,10]]},"abstract":"<jats:p>In order to study the wind flow field and dust transport law of the comprehensive mining work surface, taking the 21103 comprehensive mining working surface of Hulusu Coal Mine as the research object, SolidWorks was used to establish the comprehensive mining working surface model, and the comprehensive mining working surface under different inlet wind speed conditions was simulated and analyzed by Fluent. The results show that due to the existence of the high-speed wind flow belt, dust is mainly distributed near the downwind side working surface; when the inlet speed is 2.5m\/s, the dust mass concentration of the comprehensive mining working surface is low and it is not easy to cause secondary dust, which is the optimal inlet speed; the dust distribution within 10m of the downwind side of the shearer is the most, which is the key area of dust prevention and control.<\/jats:p>","DOI":"10.3233\/faia220126","type":"book-chapter","created":{"date-parts":[[2022,8,14]],"date-time":"2022-08-14T23:22:11Z","timestamp":1660519331000},"source":"Crossref","is-referenced-by-count":1,"title":["Numerical Simulation Study of Dust Transport of Comprehensive Mining Working Surface"],"prefix":"10.3233","author":[{"given":"Liang","family":"Wang","sequence":"first","affiliation":[{"name":"School of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China"},{"name":"Qingdao Ecotek Intelligent Technology Co., Ltd, Qingdao, China"}]},{"given":"Fengfeng","family":"Li","sequence":"additional","affiliation":[{"name":"School of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China"}]},{"given":"Yuyin","family":"Guo","sequence":"additional","affiliation":[{"name":"Shandong Ji Mine Luneng Coal Power Co., Ltd, China"}]},{"given":"Qingzhen","family":"Li","sequence":"additional","affiliation":[{"name":"Shandong Ji Mine Luneng Coal Power Co., Ltd, China"}]},{"given":"Tianming","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China"},{"name":"Qingdao Ecotek Intelligent Technology Co., Ltd, Qingdao, China"}]},{"given":"Jingjian","family":"Wu","sequence":"additional","affiliation":[{"name":"Shandong Ji Mine Luneng Coal Power Co., Ltd, China"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Modern Management based on Big Data III"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA220126","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,14]],"date-time":"2022-08-14T23:22:12Z","timestamp":1660519332000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA220126"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,10]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia220126","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,10]]}}}