摘要
工艺矿物学参数自动定量检测技术的出现和应用,使工艺矿物学研究从传统人工测试走向智能自动化测试、从定性研究走向定量研究,是工艺矿物学研究领域所取得的最大成就。然而煤的矿物组成、解离特征、嵌布粒度等的定量化研究一直难以有效解决。利用北京矿冶科技集团有限公司矿冶过程自动控制技术国家重点实验室自主研发的国内首个具有自主知识产权的工艺矿物学自动分析仪(BPMA),结合扫描电镜-能谱仪(SEM-EDS)分析,完成了原煤粉碎试样的矿物组成及含量、主要矿物的嵌布特征、矿物解离度、连生程度、嵌布粒度等工艺矿物学特征的自动化定量测定。结果表明,除了炭质组分以外,该原煤试样中还存在少量的方解石、高岭石、伊利石、黄铁矿、石英、正长石、磁黄铁矿、绿泥石、磁铁矿,微量的刚玉、磷灰石等矿物。此外,在试样中还发现了微量的辉银矿、自然银等矿物。其中,炭质主要呈粗粒嵌布,黄铁矿主要呈中粗粒和细粒两端元粒级嵌布,高岭石、方解石主要呈中-细粒嵌布,伊利石主要呈中粒偏细嵌布,石英主要呈细粒嵌布。试样中炭质的单体解离度较低,不含杂质矿物的炭质颗粒较少,大部分炭质颗粒内部都包裹有方解石、高岭石、伊利石、石英、黄铁矿等微细粒矿物相。该研究将BPMA技术应用于原煤的工艺矿物学参数的自动化定量测定,为煤的工艺矿物学信息提取提供了一套操作简单、结果可靠的分析方法,从而为煤的精细加工与资源利用提供一定的技术与理论借鉴。
The automated process mineralogy analysis techniques based on scanning electron microscope(SEM)such as QEMSCAN,MLA and AMICS is one of greatest achievements in process mineralogy.Based on these techniques,the process mineralogy study has realized the important change from the traditional manual testing to intelligent automated testing,from qualitative research to quantitative research.However,the quantitative study on mineral composition,disaggregation features and disseminated grain size of coal has been difficult to solve effectively.In this study,we used the BGRIMM process mineralogy analyzer(BPMA)-the first mineral automatic analysis system with independent intellectual property rights in China,developed by the State Key Laboratory of Process Automation in Mining&Metallurgy,BGRIMM Technology Group,combined with scanning electron microscope and X-ray energy dispersive spectrometer(SEM-EDS)microstructure in-situ analysis technique,to complete automated quantitative measurement of the process mineralogical characters of raw coal crushed sample as mineral composition,mineral contents,disseminated grain size,disaggregation features and interlocking parameters.The results show that besides carbon constituents,the crushed sample of raw coal contains small quantities of calcite,kaolinite,illite,pyrite,quartz,orthoclase,pyrrhotite,chlorites magnetite and minute quantities of corundum and apatite.In addition,we have found trace amounts of silver-bearing minerals(e.g.,argentite and natural silver)in the samples.Carbon constituents are mainly coarse-grained,pyrite is mainly medium-grained and fine-grained,kaolinite and calcite are mainly medium-to fine-grained,illite is mainly medium-grained,quartz is mainly fine-grained.The disaggregation degree of carbon monomer in the sample is low,pure carbon particles are less,most of carbon constituents have wrapped with micro-,fine-grained minerals such as calcite,kaolinite,illite,quartz and pyrite.In this paper,the BPMA technique is applied on automatic quantitative study of process mineralogical parameters of raw coals,it provides simple and reliable analytical methods for extracting process mineralogical information of coals,and it also provides some technical and theoretical references for fine processing and coal resources utilization.
作者
温利刚
贾木欣
王清
应平
赵建军
Wen Ligang;Jia Muxin;Wang Qing;Ying Ping;and Zhao Jianjun(Beijing General Research Institute of Mining&Metallurgy,Beijing 100160;State Key Laboratory of Process Automation in Mining&Metallurgy,Beijing 100160;Beijing Key Laboratory of Process Automation in Mining&Metallurgy,Beijing 100160)
出处
《中国煤炭地质》
2019年第9期8-17,共10页
Coal Geology of China
基金
国家科技支撑计划项目(2012BAB19B01)
北京矿冶科技集团有限公司科研基金/青年科技创新基金项目(JTKJ1830、04-1923)
国家自然科学基金项目(51734005)
关键词
BPMA
自动矿物学
煤
工艺矿物学
矿物组成
解离度
嵌布粒度
BGRIMM process mineralogy analyzer(BPMA)
automated process mineralogy
coal
process mineralogy
mineral composition
mineral disaggregation parameter
dissemination grain size
