煅后石油焦质量影响因素的灰色关联分析

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英文篇名：Grey Relational Analysis of Quality Influencing Factors for Calcined Petroleum Coke 作者：黄金堤 ; 李静 ; 肖劲 ; 黄茜琳 ; 李亮星 英文作者：HUANG Jindi;LI Jing;XIAO Jin;HUANG Xilin;LI Liangxing;School of Energy and Mechanical Engineering,Jiangxi University of Science and Technology;School of Metallurgy and Environment,Central South University; 关键词：罐式煅烧炉 ; 灰色关联 ; 煅后焦质量 英文关键词：vertical shaft calciner;;gray relational model;;quality of calcined petroleum coke 中文刊名：YOUS 英文刊名：Nonferrous Metals Engineering 机构：江西理工大学能源与机械工程学院;中南大学冶金与环境学院; 出版日期：2018-06-15 出版单位：有色金属工程 年：2018 期：v.8 基金：国家自然科学基金资助项目(51374253);; 江西省教育厅科学技术研究项目(GJJ170527,GJJ160664) 语种：中文; 页：YOUS201803017 页数：4 CN：03 ISSN：10-1004/TF 分类号：86-89

摘要

真密度、粉末电阻率是衡量煅后石油焦质量的关键指标,然而难以量化罐式煅烧炉各生产控制因素对其影响的主次关系。本文通过采用灰色关联分析法,以煅后焦真密度、粉末电阻率为参考数据列,以顺流式24罐8层火道罐式煅烧炉各控制因素(单罐单位排料量DR、二层火道温度T2、八层火道温度T8、生焦中挥发分含量V、灰分含量A、硫分含量S)作为比较数据列,进行关联度分析。结果表明,煅后焦真密度及粉末电阻率与各因素的灰色关联度为T2>T8>V>DR>A>S,灰色关联度值均>0.5,表明该六个变量均对煅后焦质量有显著影响,其中影响最大的因素为火道温度、挥发分含量和单罐单位排料量。研究结果可为合理调控各控制参数提供有效的理论支撑。
        Real density and powder resistivity are the key indicators for measuring quality of calcined petroleum coke. However,they are difficult to quantify primary and secondary relationships of production control factors in vertical shaft calciner which affect the quality of calcined coke. The grey relational degree was analyzed by applying gray relational analysis model,taking real density and powder resistivity as the reference series,and production control factors( discharge rate per pot DR,flue temperature of layer two T2,flue temperature of layer eight T8,volatile content of green coke V,ash content A,and sulfur content S) as the comparing series. The results show that gray relational degree between real density,powder resistivity and control factors was T2> T8> V > DR > A > S,which were all higher than 0. 5,indicating that they all had significantly affected on the quality of calcined petroleum coke and the most influential factors among which were flue temperature,volatile content and discharging rate per pot. The results can provide effective theoretical support for rational control of the control parameters.

引文

[1]赵艳.关于铝用炭素设备及生产技术发展的分析[J].黑龙江科学,2014,5(4):254.
    [2]XIAO J,HUANG J D,ZHONG Q F,et al.Modeling and simulation of petroleum coke calcination in pot calciner using two-fluid model[J].JOM,2016,68(2):643-655.
    [3]孙毅,许海飞,王玉彬.石油焦煅烧技术方案的比较[J].轻金属,2010(11):38-42.
    [4]EDWARDS L.The history and future challenges of calcined petroleum coke production and use in aluminum smelting[J].JOM,2015,67(2):308-321.
    [5]李江宁.焦炉火道温度的多目标优化与控制方法研究[D].沈阳:东北大学,2011.
    [6]杨天华.煤燃烧脱硫过程中高温物相固硫基础研究[D].杭州:浙江大学,2004.
    [7]李爱莲,赵永明,崔桂梅.基于灰色关联分析的ELM高炉温度预测模型[J].钢铁研究学报,2015,27(11):33-37.
    [8]秦庆伟.铝电解惰性阳极及腐蚀率预测研究[D].长沙:中南大学,2004.
    [9]陈湘涛.数据仓库与数据挖掘技术在新型铝电解控制系统中的应用研究[D].长沙:中南大学,2004.
    [10]吴俐俊,高秀晶,王树.基于灰色关联度的高炉冷却壁整体优化[J].同济大学学报(自然科学版),2013,41(12):1885-1888.
    [11]续正国.提高煅烧质量初探[J].炭素技术,1992,11(5):27-30.
    [12]张志,孙毅,周善红.提高罐式煅烧炉产品质量的方法浅析[J].炭素技术,2011,30(6):60-62.