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作 者:付博 刘欢 李雪薇 王锦柯 叶尔生·扎玛什 苏振新 FU Bo;LIU Huan;LI Xuewei;WANG Jinke;YEERSHENG·Zhamashi;SU Zhenxin(Xinjiang Uygur Autonomous Region Geological Exploration Quality Evaluation Center,Urumqi 830002,China;School of Mining Engineering and Geology,Xinjiang Institute of Engineering,Urumqi 830023,China;Key Laboratory of Xinjiang Coal Resources Green Mining,Ministry of Education,Xinjiang Institute of Engineering,Urumqi 830023,China;Zhundong Research Institute of Science and Technology,Emergency Management University,Changji 831700,China)
机构地区:[1]新疆维吾尔自治区地质勘查质量评价中心,新疆乌鲁木齐830002 [2]新疆工程学院矿业工程与地质学院,新疆乌鲁木齐830023 [3]新疆工程学院新疆煤炭资源绿色开采教育部重点实验室,新疆乌鲁木齐830023 [4]应急管理大学准东科学技术研究院,新疆昌吉831700
出 处:《中国矿业》2024年第S02期384-389,共6页China Mining Magazine
基 金:煤炭资源与安全开采国家重点实验室-新疆工程学院联合开放研究基金项目资助(编号:SKLCRSM-XJIE23KF005)。
摘 要:高岭石作为常见的伴生黏土矿物,因其独特的吸附特性会干扰浮选分离的效果,因此,研究高岭石浮选表面作用机理和不同高岭石体系的浮选分离对改善目的矿物浮选效果有着重要作用,本文通过研究者针对高岭石的最新研究,详细阐述了组合捕收剂协同增效的具体机制和原理,主要从煤系及非煤系高岭石的分选方面分别展开。针对浮选药剂在不同高岭石体系中的应用,系统研究高岭石表面与水分子及药剂的作用。针对现有研究的不足,提出建立理论计算与分析表征相结合的捕收剂间协同增效机制研究平台,发展新的分析表征技术,加强药剂间促溶、促分散等方面的基础研究,建立对应的构效关系,并使用大数据、机器学习和人工智能,本文研究将对高岭石与目的矿物浮选分离的研究有着重要意义。Kaolinite,as a common associated clay mineral,can interfere with the effectiveness of flotation separation due to its unique adsorption properties.Therefore,studying the flotation surface mechanism of kaolinite and the flotation separation of different kaolinite systems plays a crucial role in improving the flotation efficiency of target minerals.Based on the latest research on kaolinite by researchers,this paper elaborates on the specific mechanism and principles of synergistic enhancement of combined collectors,focusing mainly on the separation of carbonaceous and non-carbonaceous kaolinite.For the application of flotation reagents in different kaolinite systems,the interaction between the kaolinite surface,water molecules and reagents is systematically investigated.In response to the limitations of existing research,this paper proposes to establish a research platform on the synergistic enhancement mechanism between collectors that combines theoretical calculations with analytical characterization.This platform aims to develop new analytical characterization techniques,enhance fundamental research on aspects such as promoting solubility and dispersion between reagents,establish corresponding structure-activity relationships,and utilize big data,machine learning and artificial intelligence.This research will have a significant impact on research into the flotation separation of kaolinite and target minerals.
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