论文部分内容阅读
以神东煤制油煤样为研究对象,建立了煤岩显微组分基于灰分差异的赋存规律模型,并提出了基于离心力场强化的煤岩组分分选方法。借助强化重力分选机对1~0.25 mm粒级煤样进行变参数分选试验研究,揭示了基于离心力场强化的分选机制。试验结果表明,镜质组含量与煤样灰分关系显著,模型关系可用指数函数模型表示。分选试验结果表明,煤岩组分可以在复合力场中得到有效富集,分选精煤的镜质组含量可以达到70%,精煤产率可达80%。对于1~0.25 mm粒级煤样,为使流态化水压为颗粒群的提供足够的径向分层动力,高效分选需要在较低的离心力条件下进行。复合力场有效强化了煤岩显微组分间的分选行为差异,可有效实现煤岩显微组分的富集。
Taking Shendong coal-made coal sample as the research object, a model of occurrence law of coal-rock micro-components based on the difference of ash content was established and a coal-rock component classification method based on centrifugal force field strengthening was proposed. With the help of the intensified gravity separator, the variable parameters of 1 ~ 0.25 mm coal samples were classified, and the sorting mechanism based on centrifugal force field strengthening was revealed. The experimental results show that the vitrinite content is significantly related to the ash content of coal samples, and the model relationship can be expressed by an exponential function model. The results of the sorting test show that the components of coal and rock can be effectively enriched in the composite force field. The vitrinite content of sorted coal can reach 70% and the yield of clean coal can reach 80%. For 1 ~ 0.25 mm particle size coal samples, to make the fluidized water pressure provide enough radial delamination power for the particle swarm, efficient separation needs to be carried out under lower centrifugal force. The composite force field can effectively strengthen the separation behavior of the micro-components of coal and rock, which can effectively enrich the micro-components of coal and rock.