基于气流床气化炉熔渣结构的黏度预测

doi:10.11949/j.issn.0438-1157.20170443

化工学报 ›› 2017, Vol. 68 ›› Issue (10): 3877-3883.DOI: 10.11949/j.issn.0438-1157.20170443

基于气流床气化炉熔渣结构的黏度预测

王倩, 李强, 张建胜

清华大学热能工程系, 热科学与动力工程教育部重点实验室, 北京 100084

收稿日期:2017-04-21 修回日期:2017-06-29 出版日期:2017-10-05 发布日期:2017-10-05
通讯作者: 张建胜,zhang-jsh@tsinghua.edu.cn
基金资助:
国家重点基础研究发展计划项目（2014CB744300）。

Model of estimating viscosity based on slag structure in entrained flow gasifier

WANG Qian, LI Qiang, ZHANG Jiansheng

Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Thermal Engineering, Tsinghua University, Beijing 100084, China

Received:2017-04-21 Revised:2017-06-29 Online:2017-10-05 Published:2017-10-05
Supported by:
supported by the National Basic Research Program of China(2014CB744300).

摘要/Abstract

摘要：

在煤气化工艺中，煤灰高温黏度特性是影响熔渣流动特性重要参数之一。以NBO/T、P/M为结构参数，建立熔渣高温黏度预测模型，对结构参数、熔渣黏度的关系进行了研究，并通过文献的实验数据验证了模型的准确性。研究发现随着NBO/T的增大，熔体聚合程度降低，熔体流动时内摩擦力减小，黏度降低；随着P/M增大，熔体结构强度减弱，熔体流动所需要克服的阻力增加，熔渣黏度逐渐升高。引入结构参数后的熔渣黏度预测模型对一定范围内的熔渣黏度具有良好的预测效果，在NBO/T < 0.5时，黏度预测值和实验值误差在10%以内，采用两种结构参数均可；在NBO/T > 0.5时，黏度预测值和实验值误差在25%以内，采用结构参数P/M更合适。

关键词: 熔渣结构, 黏度, 气化, 模型, NBO/T, P/M

Abstract:

The viscosity of molten slags is one of the most significant parameters to predict the flow properties of ash in coal gasification process.To estimate the viscosity of molten slags,a model based on the structure of slags was established.NBO/T (number of non-bridging oxygen/tetragonally-bonded oxygen) and P/M (polymer/modifier),as the structural parameters of slags,provide description of the polymerization and bond strengths of molten slags,respectively.The model presented the dependency on both temperature and structural parameters with the viscosity in the SiO₂-Al₂O₃-CaO-MgO-Fe₂O₃-K₂O-Na₂O-TiO₂ slag systems.The accuracy of the model was verified by the experimental data of literatures.The results indicate that the viscosity decreases with the increase of NBO/T due to the reduction of polymerization in the molten slags,whereas the viscosity rises with the increase of P/M because of the strength weaken of molten slags.A good agreement is obtained from the calculated and measured values of the viscosity within a certain range.The deviation between the prediction and experiment results is within 10% when NBO/T < 0.5 and 25% when NBO/T > 0.5.

Key words: slag structure, viscosity, gasification, model, NBO/T, P/M

中图分类号:

TQ546.4

王倩, 李强, 张建胜. 基于气流床气化炉熔渣结构的黏度预测[J]. 化工学报, 2017, 68(10): 3877-3883.

WANG Qian, LI Qiang, ZHANG Jiansheng. Model of estimating viscosity based on slag structure in entrained flow gasifier[J]. CIESC Journal, 2017, 68(10): 3877-3883.

参考文献 30

[1]	毕大鹏, 赵勇, 管清亮, 等. 水冷壁气化炉内熔渣流动特性模型[J]. 化工学报, 2015, 66(3):888-895. BI D P, ZHAO Y, GUAN Q L, et al. Modeling slag behavior in membrane wall gasifier[J]. CIESC Journal, 2015, 66(3):888-895.
[2]	MILLS K C, SRIDHAR S. Viscosities of ironmaking and steelmaking slags[J]. Ironmaking & Steelmaking, 1999, 26(4):262-268.
[3]	OGIBAYASHI S, YAMAGUCHI K, MUKAI T, et al. Mold powder technology for continuous casting of low-carbon aluminum-killed steel[J]. Nippon Steel Technical Report. Overseas, 1987, (34):1-10.
[4]	ⅡDA T, SAKAI H, KITA Y, et al. An equation for accurate prediction of the viscosities of blast furnace type slags from chemical composition[J]. ISIJ International, 2000, 40(Suppl.):S110-S114.
[5]	URBAIN G. Viscosity estimation of slags[J]. Steel Research International, 1987, 58(3):111-116.
[6]	SENIOR C L, SRINIVASACHAR S. Viscosity of ash particles in combustion systems for prediction of particle sticking[J]. Energy & Fuels, 1995, 9(2):277-283.
[7]	KONADRATIEV A, JAK E. Review of experimental data and modeling of the viscosities of fully liquid slags in the Al2O3-CaO-'FeO'-SiO2 system[J]. Metallurgical and Materials Transactions B, 2001, 32(6):1015-1025.
[8]	SONG W J, TANG L H, ZHU X D, et al. Prediction of Chinese coal ash fusion temperatures in Ar and H2 atmospheres[J]. Energy & Fuels, 2009, 23(4):1990-1997.
[9]	BROWNING G J, BRYANT G W, HURST H J, et al. An empirical method for the prediction of coal ash slag viscosity[J]. Energy & Fuels, 2003, 17(3):731-737.
[10]	RIBOUD P V, ROUX Y, LUCAS L D, et al. Improvement of continuous casting powders[J]. Fachberichte Hüttenpraxis Metallweiterverarbeitung, 1981, 19(8):859-869.
[11]	VARGAS S, FRANDSEN F J, DAM-JOHANSEN K. Rheological properties of high-temperature melts of coal ashes and other silicates[J]. Progress in Energy and Combustion Science, 2001, 27(3):237-429.
[12]	NEUVILLE D R. Viscosity, structure and mixing in (Ca, Na) silicate melts[J]. Chemical Geology, 2006, 229(1):28-41.
[13]	NAKAMOTO M, JOONHO L E E, TANAKA T. A model for estimation of viscosity of molten silicate slag[J]. ISIJ International, 2005, 45(5):651-656.
[14]	GUPTA V K, SINHA S P, RAJ B. A model for describing viscosity-composition relationship for continuous casting mould fluxes[J]. Steel India(India), 1998, 21(1):22-29.
[15]	唐续龙, 郭敏, 王习东, 等. 基于修正的(NBO/T)比值的黏度模型[J]. 北京科技大学学报, 2010, 32(12):1542-1546. TANG X L, GUO M, WANG X D, et al. Estimation model of viscosity based on modified (NBO/T) ratio[J]. Journal of University of Science and Technology Beijing, 2010, 32(12):1542-1546.
[16]	ZHANG G H, CHOU K C, XUE Q G, et al. Modeling viscosities of CaO-MgO-FeO-MnO-SiO2 molten slags[J]. Metallurgical and Materials Transactions B, 2012, 43(1):64-72.
[17]	ZHANG G H, CHOU K C, MILLS K. Modelling viscosities of CaO-MgO-Al2O3-SiO2 molten slags[J]. ISIJ International, 2012, 52(3):355-362.
[18]	郭靖, 程树森, 赵宏博. 基于结构理论的SiO2-CaO-MgO-Al2O3熔渣黏度的预报模型[J]. 钢铁研究学报, 2013, 25(8):6-11. GUO J, CHENG S S, ZHAO H B. Modeling research for estimating viscosity of SiO2-CaO-MgO-Al2O3 system molten slag based on slag structure theory[J]. Journal of Iron and Steel Research, 2013, 25(8):6-11.
[19]	熊友辉, 孙学信. 动力用煤灰熔体结构特性及其计算研究[J]. 煤炭转化, 1996, 19(4):85-91. XIONG Y H, SUN X X. Research on structure characteristic and computational method of coal ash melts[J]. Coal Conversion, 1996, 19(4):85-91.
[20]	ZACHARIASEN W H. The atomic arrangement in glass[J]. Journal of the American Chemical Society, 1932, 54:3841-3851.
[21]	MILLS K. The estimation of slag properties[EB/OL]. Southern African Pyrometallurgy 2011 International Conference, 2011, http://www.pyrometallurgy.co.za/KenMills/KenMills.pdf.
[22]	MYSEN B O. Structure and Properties of Silicate Melts[M]. Amsterdam:Elsevier Science Limited, 1988.
[23]	MYSEN B O. Relationships between silicate melt structure and petrologic processes[J]. Earth-Science Reviews, 1990, 27(4):281-365.
[24]	MILLS K C. The influence of structure on the physico-chemical properties of slags[J]. ISIJ International, 1993, 33(1):148-155.
[25]	ⅡDA T, SAKAI H, KITA Y, et al. Equation for estimating viscosities of industrial mold fluxes[J]. High Temperature Materials and Processes, 2000, 19(3/4):153-164.
[26]	KUCHARSKI M, STUBINA N M, TOGURI J M. Viscosity measurements of molten Fe-O-SiO2, Fe-O-CaO-SiO2, and Fe-O-MgO-SiO2 slags[J]. Canadian Metallurgical Quarterly, 1989, 28(1):7-11.
[27]	郑常昊, 王倩, 张建胜. 气化中煤灰熔点和黏度预测模型[J]. 燃料化学学报, 2016, 44(5):521-527. ZHENG C H, WANG Q, ZHANG J S. Prediction model of ash fusion temperature and viscosity in coal gasification[J]. Journal of Fuel Chemistry and Technology, 2016, 44(5):521-527.
[28]	KUO Y M, HUANG K L, WANG C T, et al. Effect of Al2O3 mole fraction and cooling method on vitrification of an artificial hazardous material(Ⅰ):Variation of crystalline phases and slag tructures[J]. Journal of Hazardous Materials, 2009, 169(1/2/3):626-634.
[29]	DUCHESNE M A, ILYUSHECHKIN A Y, HUGHES R W, et al. Flow behaviour of slags from coal and petroleum coke blends[J]. Fuel, 2012, 97:321-328.
[30]	FOLKEDAHL B C, SCHOBERT H H. Effects of atmosphere on viscosity of selected bituminous and low-rank coal ash slags[J]. Energy & Fuels, 2005, 19(1):208-215.

基于气流床气化炉熔渣结构的黏度预测

Model of estimating viscosity based on slag structure in entrained flow gasifier

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献 30

相关文章 15

编辑推荐

Metrics

本文评价

[1]	宋嘉豪, 王文. 斯特林发动机与高温热管耦合运行特性研究[J]. 化工学报, 2023, 74(S1): 287-294.
[2]	连梦雅, 谈莹莹, 王林, 陈枫, 曹艺飞. 地下水预热新风一体化热泵空调系统制热性能研究[J]. 化工学报, 2023, 74(S1): 311-319.
[3]	金正浩, 封立杰, 李舒宏. 氨水溶液交叉型再吸收式热泵的能量及分析[J]. 化工学报, 2023, 74(S1): 53-63.
[4]	李科, 文键, 忻碧平. 耦合蒸气冷却屏的真空多层绝热结构对液氢储罐自增压过程的影响机制研究[J]. 化工学报, 2023, 74(9): 3786-3796.
[5]	王浩, 王振雷. 基于自适应谱方法的裂解炉烧焦模型化简策略[J]. 化工学报, 2023, 74(9): 3855-3864.
[6]	陈哲文, 魏俊杰, 张玉明. 超临界水煤气化耦合SOFC发电系统集成及其能量转化机制[J]. 化工学报, 2023, 74(9): 3888-3902.
[7]	刘爽, 张霖宙, 许志明, 赵锁奇. 渣油及其组分黏度的分子层次组成关联研究[J]. 化工学报, 2023, 74(8): 3226-3241.
[8]	韩晨, 司徒友珉, 朱斌, 许建良, 郭晓镭, 刘海峰. 协同处理废液的多喷嘴粉煤气化炉内反应流动研究[J]. 化工学报, 2023, 74(8): 3266-3278.
[9]	于旭东, 李琪, 陈念粗, 杜理, 任思颖, 曾英. 三元体系KCl + CaCl₂ + H₂O 298.2、323.2及348.2 K相平衡研究及计算[J]. 化工学报, 2023, 74(8): 3256-3265.
[10]	诸程瑛, 王振雷. 基于改进深度强化学习的乙烯裂解炉操作优化[J]. 化工学报, 2023, 74(8): 3429-3437.
[11]	闫琳琦, 王振雷. 基于STA-BiLSTM-LightGBM组合模型的多步预测软测量建模[J]. 化工学报, 2023, 74(8): 3407-3418.
[12]	李锦潼, 邱顺, 孙文寿. 煤浆法烟气脱硫中草酸和紫外线强化煤砷浸出过程[J]. 化工学报, 2023, 74(8): 3522-3532.
[13]	郭雨莹, 敬加强, 黄婉妮, 张平, 孙杰, 朱宇, 冯君炫, 陆洪江. 稠油管道水润滑减阻及压降预测模型修正[J]. 化工学报, 2023, 74(7): 2898-2907.
[14]	刘春雨, 周桓宇, 马跃, 岳长涛. CaO调质含油污泥干燥特性及数学模型[J]. 化工学报, 2023, 74(7): 3018-3027.
[15]	李艳辉, 丁邵明, 白周央, 张一楠, 于智红, 邢利梅, 高鹏飞, 王永贞. 非常规服役超临界锅炉的微纳尺度腐蚀动力学模型建立及应用[J]. 化工学报, 2023, 74(6): 2436-2446.