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主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
基于介尺度特性分析的流态化过程数值方法
  • Title

    Research progress of simulation methods of fluidization process in CFB based on meso-scale characteristics analysis

  • 作者

    戴群特时凯祁海鹰

  • Author

    DAI Qun-te,SHI Kai,QI Hai-ying

  • 单位

    清华大学热科学与动力工程教育部重点实验室

  • Organization
    Key Laboratory for Thermal Science & Power Engineering of Ministry of Education,Tsinghua University,Beijing  100084,China
  • 摘要
    准确描述气固两相相互作用力——曳力,是解决欧拉方法合理预测循环流化床气固两相流动和化学反应的关键。阐述了基于流态化系统最小能量分析(EMMS)而建立的若干非均匀曳力模型及其应用的研究进展。通过分析颗粒团聚的介尺度特性,改进了颗粒团固含率εsc模型,形成新的曳力模型QC-EMMS。经网格到整体流化床不同尺度的实验验证,表明新模型更准确地体现了有大量颗粒团聚现象的非均匀流动规律。基于该模型,进一步研究了局部颗粒浓度的脉动特性和概率密度分布(PDD),颗粒团出现概率及其演化等介尺度变化规律,深化了对气固流态化过程的认识。
  • Abstract
    The accurate description of the gas-solid two-phase interaction,drag force,is the key to accurately predict the CFB gas-solid flow and chemical reaction by Euler / Euler method. The present study presents a series of heteroge- neous drag models and their application based on the energy minimum multi-scale method (EMMS) of a fluidization system. The cluster solids holdup,εsc ,was improved through the analysis of meso-scale characteristics,and then a new QC-EMMS drag model was developed. Through the experimental validation of different scales from grid to the macro- scale of reactor,the new model shows a high accuracy to reflect the law of non-uniform flow pattern with a large num- ber of clusters. On this basis,the paper further studies the pulsating characteristics and the probability density distribu- tion of local solids holdup,and the meso-scale characteristics such as the occurrence probability of clusters and the evolution law of a cluster,to enhance the understanding of gas-solid fluidization process.
  • 关键词

    CFB脱硫非均匀气固两相流曳力模型

  • KeyWords

    CFB;heterogeneous gas-solid two-phase flow;drag model;desulphurization

  • 基金项目(Foundation)
    国家自然科学基金重大研究计划培育资助项目(91334111);
  • DOI
  • Citation
    Dai Qunte,Shi Kai,Qi Haiying. Research progress of simulation methods of fluidization process in CFB based on meso-scale characteristics analysis[J]. Journal of China Coal Society,2016,41(10):2508-2513.
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主办单位:煤炭科学研究总院有限公司 中国煤炭学会学术期刊工作委员会

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