Study on wettability model of coal particles based on composition

Xing Li, Yong Zhang, Fan Yang, Jiangjiang Hua, Hongzheng Zhu, Baohong Hou
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The content of organic substances decreased with the decrease in powder size. SiO2 had the highest content and the lowest contact angle among the inorganic oxygen-containing. Hydrogen bonds were created between the hydrogen and oxygen atoms on the surface. The stronger the hydrogen bonding force, the more tightly the water molecules adsorbed. Furthermore, the organic content decreased as the coal density increased. The increase in contaminants could be responsible for this phenomenon. The predictive wetting model between the coal compositions and the contact angle was established and its accuracy was evaluated. The predictive model is reliable at larger coal sizes and lower densities due to an average error at 7.2% of 0.35 mm and 10.61% of 1.35 g/cm3. The results provide some valuable insight into the efficient clean utilization of technology and pre-flotation feedback for coal processing.KEYWORDS: Mineral compositioncontact angleparticle sizedensitywettability model AcknowledgementsThe authors gratefully acknowledge the Scientific Research Foundation for High-level Talents of Anhui University of Science and Technology (Grant No. 2021yjrc57 and 2022yjrc112), Anhui Province University Natural Science Research Major Project (Grant No. KJ2021ZD0046), Anhui Province Key Research and Development Program (Grant No. 2022n07020001), Open Foundation of Institute of Environment-Friendly Materials and Occupational Health (Grant No. ALW2021YF13), Open Foundation of the State Key Laboratory of Mineral Response and Disaster Prevention and Control in Deep Coal Mines (Grant No. SKLMRDPC20ZZ03), Natural Science Foundation of China (Grant No. 52074014 and No. 52104242), China Postdoctoral Science Foundation (Grant No. 2019M662134), and Postdoctoral Science Foundation of Anhui Province (Grant No. 2019B330) for supporting this work.Disclosure statementThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.Additional informationFundingThis work was supported by the China Postdoctoral Science Foundation [Grant No. 2019M662134]; Open Foundation of State Key Laboratory of Mineral Response and Disaster Prevention and Control in Deep Coal Mines [Grant No. SKLMRDPC20ZZ03]; Postdoctoral Science Foundation of Anhui Province [Grant No. 2019B330]; Scientific Research Foundation for High-level Talents of Anhui University of Science and Technology [Grant No. 2021yjrc57]; Anhui Province University Natural Science Research Major Project [Grant No. KJ2021ZD0046]; Open Foundation of Institute of Environment-Friendly Materials and Occupational Health [Grant No. ALW2021YF13]; Anhui Province Key Research and Development Program [Grant No. 2022n07020001]; Natural Science Foundation of China [Grant No. 52074014 and No. 52104242].Notes on contributorsXing LiXing Li, born in April 1987, graduated from the University of Idalgo Michoacán in St.Louis, Mexico, with a doctorate in materials and metallurgy. The research direction is the treatment and utilization of tailings solid waste materials.Yong ZhangYong Zhang, born in September 1992, graduated from Anhui University of Science and Technology, China, with a doctorate in materials and metallurgy. The main research direction is the theory and technology of fine mineral separation interface control.Fan YangFan Yang, born in March 1999, a master 's student of Anhui University of Science and Technology, majoring in resources and environment. The main research direction is the theory and technology of fine mineral separation interface control.Jiangjiang HuaJiangjiang Hua, born in April 1987, Zhujixi coal mine technician. Mainly engaged in coal separation and technical management.Hongzheng ZhuHongzheng Zhu, born in January 1987, is a professor. The main research direction is fine mineral separation and equipment design.Baohong HouBaohong Hou, born in October 1994, technician. Mainly studies the coal operation management.","PeriodicalId":11580,"journal":{"name":"Energy Sources, Part A: Recovery, Utilization, and Environmental Effects","volume":"292 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Sources, Part A: Recovery, Utilization, and Environmental Effects","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/15567036.2023.2273404","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

ABSTRACTIn order to assess coal floatability, it is necessary to understand how different coal compositions affect particle-wetting behavior. In this study, the influence of different sizes and densities of particles on coal wettability was conducted, respectively. For this purpose, the coal compositions were explored via XRF and the wetting rising velocity experiment of each coal composition was investigated based on the capillary force. The contact angle decreases obviously with the decrease in particle size. The contact angle decreases as the coal particle density increases. The larger the contact angle, the worse the wettability. The coal compositions had a significant effect on the coal-wetting behavior. The content of organic substances decreased with the decrease in powder size. SiO2 had the highest content and the lowest contact angle among the inorganic oxygen-containing. Hydrogen bonds were created between the hydrogen and oxygen atoms on the surface. The stronger the hydrogen bonding force, the more tightly the water molecules adsorbed. Furthermore, the organic content decreased as the coal density increased. The increase in contaminants could be responsible for this phenomenon. The predictive wetting model between the coal compositions and the contact angle was established and its accuracy was evaluated. The predictive model is reliable at larger coal sizes and lower densities due to an average error at 7.2% of 0.35 mm and 10.61% of 1.35 g/cm3. The results provide some valuable insight into the efficient clean utilization of technology and pre-flotation feedback for coal processing.KEYWORDS: Mineral compositioncontact angleparticle sizedensitywettability model AcknowledgementsThe authors gratefully acknowledge the Scientific Research Foundation for High-level Talents of Anhui University of Science and Technology (Grant No. 2021yjrc57 and 2022yjrc112), Anhui Province University Natural Science Research Major Project (Grant No. KJ2021ZD0046), Anhui Province Key Research and Development Program (Grant No. 2022n07020001), Open Foundation of Institute of Environment-Friendly Materials and Occupational Health (Grant No. ALW2021YF13), Open Foundation of the State Key Laboratory of Mineral Response and Disaster Prevention and Control in Deep Coal Mines (Grant No. SKLMRDPC20ZZ03), Natural Science Foundation of China (Grant No. 52074014 and No. 52104242), China Postdoctoral Science Foundation (Grant No. 2019M662134), and Postdoctoral Science Foundation of Anhui Province (Grant No. 2019B330) for supporting this work.Disclosure statementThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.Additional informationFundingThis work was supported by the China Postdoctoral Science Foundation [Grant No. 2019M662134]; Open Foundation of State Key Laboratory of Mineral Response and Disaster Prevention and Control in Deep Coal Mines [Grant No. SKLMRDPC20ZZ03]; Postdoctoral Science Foundation of Anhui Province [Grant No. 2019B330]; Scientific Research Foundation for High-level Talents of Anhui University of Science and Technology [Grant No. 2021yjrc57]; Anhui Province University Natural Science Research Major Project [Grant No. KJ2021ZD0046]; Open Foundation of Institute of Environment-Friendly Materials and Occupational Health [Grant No. ALW2021YF13]; Anhui Province Key Research and Development Program [Grant No. 2022n07020001]; Natural Science Foundation of China [Grant No. 52074014 and No. 52104242].Notes on contributorsXing LiXing Li, born in April 1987, graduated from the University of Idalgo Michoacán in St.Louis, Mexico, with a doctorate in materials and metallurgy. The research direction is the treatment and utilization of tailings solid waste materials.Yong ZhangYong Zhang, born in September 1992, graduated from Anhui University of Science and Technology, China, with a doctorate in materials and metallurgy. The main research direction is the theory and technology of fine mineral separation interface control.Fan YangFan Yang, born in March 1999, a master 's student of Anhui University of Science and Technology, majoring in resources and environment. The main research direction is the theory and technology of fine mineral separation interface control.Jiangjiang HuaJiangjiang Hua, born in April 1987, Zhujixi coal mine technician. Mainly engaged in coal separation and technical management.Hongzheng ZhuHongzheng Zhu, born in January 1987, is a professor. The main research direction is fine mineral separation and equipment design.Baohong HouBaohong Hou, born in October 1994, technician. Mainly studies the coal operation management.
基于组分的煤颗粒润湿性模型研究
摘要为了评价煤的可浮性,有必要了解不同煤组成对颗粒润湿行为的影响。本研究分别研究了不同粒径和密度的颗粒对煤润湿性的影响。为此,利用XRF对煤的组成进行了研究,并基于毛细力对各组成煤的润湿上升速度进行了实验研究。随着粒径的减小,接触角明显减小。接触角随煤粒密度的增大而减小。接触角越大,润湿性越差。煤的组分对煤的润湿行为有显著影响。有机质含量随粉体粒度的减小而降低。无机含氧材料中SiO2含量最高,接触角最小。在表面的氢原子和氧原子之间形成了氢键。氢键力越强,水分子的吸附就越紧密。有机质含量随煤密度的增大而降低。污染物的增加可能是造成这种现象的原因。建立了煤组分与接触角之间的预测润湿模型,并对其精度进行了评价。由于平均误差为0.35 mm的7.2%和1.35 g/cm3的10.61%,该预测模型在较大的煤尺寸和较低的密度下是可靠的。研究结果对煤的高效清洁利用技术和浮选前反馈提供了有价值的见解。本文作者感谢安徽理工大学高层次人才科研基金项目(批准号:2021yjrc57和2022yjrc112)、安徽省大学自然科学研究重大专项项目(批准号:2021yjrc57和2022yjrc112);(KJ2021ZD0046),安徽省重点研发计划项目(批准号:2022n07020001),环境友好材料与职业健康研究所开放基金(批准号:2022n07020001);ALW2021YF13),深部煤矿矿产响应与灾害防治国家重点实验室开放基金(批准号:2021yf13);国家自然科学基金(批准号:52074014和52104242)、中国博士后科学基金(批准号:2019M662134)、安徽省博士后科学基金(批准号:2019B330)资助本工作。披露声明作者声明,他们没有已知的竞争经济利益或个人关系,可能会影响本文所报道的工作。基金资助:中国博士后科学基金[资助号:2019M662134];深部煤矿矿产响应与灾害防治国家重点实验室开放基金[批准号:2016.07]。SKLMRDPC20ZZ03];安徽省博士后科学基金项目[批准号2019B330];安徽理工大学高层次人才科研基金项目[批准号:2021yjrc57];安徽省高等学校自然科学研究重大项目[批准号];KJ2021ZD0046];环境友好材料与职业健康研究所开放基金[批准号:ALW2021YF13];安徽省重点研发计划项目[批准号:2022n07020001];国家自然科学基金项目[批准号:52074014和52104242]。作者简介邢立,1987年4月生,毕业于墨西哥圣路易斯市伊达尔戈大学Michoacán,获材料与冶金学博士学位。研究方向为尾矿固体废弃物的处理与利用。张勇,1992年9月生,毕业于中国安徽科技大学,获材料与冶金学博士学位。主要研究方向为细矿物分选界面控制理论与技术。范阳,1999年3月生,安徽理工大学资源与环境专业硕士研究生。主要研究方向为细矿物分选界面控制理论与技术。江华,1987年4月生,朱鸡溪煤矿技术员。主要从事煤炭分选及技术管理工作。朱鸿正,1987年1月生,教授。主要研究方向为细矿物分选及设备设计。侯宝红,1994年10月生,技术人员。主要研究煤炭经营管理。
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