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Study On Structure Design And Characteristics Of Fine Coal Slime Settling Equipment In Supergravity Field

Posted on:2022-01-08Degree:MasterType:Thesis
Country:ChinaCandidate:J Q YinFull Text:PDF
GTID:2481306608467814Subject:Mining engineering
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As the main solid waste in the process of coal mining,coal gangue increases the difficulty of gravity separation and flotation.How to effectively remove gangue from raw coal is an important problem in the process of coal preparation.In order to solve this problem,the separation mechanism of coal gangue under X-ray is studied in this paper.Taking the X-ray intelligent separation equipment as the test platform,this paper first introduces the structure principle and working process of the equipment,and expounds the principle and four major effects of the interaction between X-ray and matter.It is explained that the essence of X-ray separation of coal gangue is the role of extra-nuclear electrons of different microscopic atoms in coal and gangue,and experiments are carried out on this basis.Secondly,different segmentation algorithms are designed to segment the image of coal gangue.In order to improve the accuracy of the mineral region information extraction of the image and ensure the accuracy of the subsequent test data,iterative threshold segmentation,OTSU threshold segmentation,global threshold segmentation,maximum entropy threshold segmentation and cross entropy threshold segmentation are used to segment the images of graphite,quartz,kaolin and montmorillonite,and DICE,RVD is used to segment the images of graphite,quartz,kaolin and montmorillonite.VOE three standard evaluation algorithms deal with the segmented image,get the evaluation index of each algorithm,and then use coal and gangue to do verification experiments.The results show that the maximum entropy threshold segmentation algorithm can successfully identify and extract the target minerals,and the effect is the best.Then the imaging experiment of single mineral and mixed mineral is further designed.according to coal petrology,the mineral composition and element composition of coal and gangue are analyzed in detail,and the carbon element in organic group is replaced by graphite.quartz,kaolin and montmorillonite replace the minerals in coal to make four kinds of single mineral samples and several mixed mineral samples.In this paper,the variation of gray value of single mineral and mixed mineral with thickness is studied macroscopically,the variation of gray value and electron number of pixel volume is studied microscopically,and the grayscale model on atomic level is established.The model of mixed mineral is mathematically deduced and verified,and the model of single mineral and mixed mineral is fused.The results show that the content of a certain substance in the mixed mineral is reduced to 0.The gray value of mixed minerals is different from that of single minerals because the X-ray coefficient of mixed minerals does not change i mmediately.In addition,the X-ray absorption coefficient of adding quartz to graphite is larger than that of single graphite,which has nothing to do with the amount of quartz,and other minerals also conform to this rule.In addition,with the increase of carbon content in coal and quartz content in coal gangue,the change rate of X-ray attenuation is different,which reveals the mechanism of identifying coal gangue based on X-ray.The above experiments show that the experiment is carried out by simulating the mineral composition of coal,and the result solution reveals the mechanism of X-ray identification of coal gangue,which has a certain reference significance for the development of photoelectric intelligent coal and gangue separation.Figure[53]table[28]reference[79]...
Keywords/Search Tags:intelligent sorting, coal gangue, X-ray recognition, mineral composition, image segmentation, grayscale value, number of electrons per pixel, grayscale model
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