Open AccessStudying the effect the physicochemical properties of fine size raw coal organic and mineral composition have on beneficiation efficiency
Author(s) -
Ekaterina S. Kamoza
Publication year - 2021
Publication title -
izvestiâ vysših učebnyh zavedenij. gornyj žurnal
Language(s) - English
Resource type - Journals
eISSN - 2686-9853
pISSN - 0536-1028
DOI - 10.21440/0536-1028-2021-6-65-75
Subject(s) - beneficiation , coal , caking , petrography , maceral , raw material , environmental science , mineral , mineralogy , metallurgy , waste management , geology , materials science , chemistry , engineering , organic chemistry , composite material
. This work presents the results of the research on the effect the petrographic characteristics, elemental and mineral composition have on the Kedrovsko-Krohalevskoe fine coal beneficiation efficiency. The data has been analyzed of raw coal physochemical properties at the stage of mining and dressing mill raw material base formation. Research objective is to study thermal coal by physicochemical methods of analysis to identify the main parameters affecting the quality of beneficiation products. Based on the data obtained, the research aims to develop the method of assessing the indicators affecting the beneficiation process and further forecasting during the development of new areas and coal seams. Methods of research. The structural features of raw KCN (coking low-caking low-metamorphosed) coal were determined by comparative analysis of three samples according to the following parameters: laboratory flotation results, general technical parameters, maceral composition, organic matter elemental composition, and ash mineral composition. Results. It has been established that coals of a similar nature of origin and stage of metamorphism, can have different indicators in vaarious parameters: particle size, number and morphology of microcomponents according to quantitative petrographic analysis, as well as the presence of hydrophilic functional groups on the surface of coals. Conclusions. The results of the studies made it possible to identify a number of dependencies that can be used in a preliminary assessment of the quality of raw coal sent to a coal processing enterprise.