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非绝热条件下冰浆管内流动特性研究 被引量:1

Research on flow characteristics of ice slurry in pipe under nonadiabatic condition
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摘要 将过冷水法制取冰浆的工作原理结合多相流欧拉模型和相间传热传质模型,使用Fluent软件模拟非绝热条件下冰浆在出冰管道的流动情况,管道模型包括水平直管和90°弯管.在初始含冰率为1%~10%范围内,结合两种管内冰堵判断依据,研究冰晶粒径、管径、管长、曲率半径等参数对两种临界流速的影响.结果表明:冰晶粒径和直管管长产生的影响较强,两种临界流速呈现显著上升趋势,其中对临界流速一的影响更为明显;管径产生的影响较弱,两种临界流速呈现微弱增长趋势,且增长率趋于平缓,变化范围为0.02~0.07 m/s;弯管曲率产生的影响微弱,两种临界流速呈现微弱下降趋势,变化范围为0.01~0.03 m/s. The working principle of supercooled water method for preparing ice slurry was combined with multiphase flow Euler model and interphase heat and mass transfer model,and Fluent software was used to simulate the flow of ice slurry in ice slurry outlet pipeline under nonadiabatic conditions.The pipe model included horizontal straight pipe and 90°elbow.In the range of 1%~10%of the initial ice packing fraction,combined with two kinds of judgment basis of ice blockage in pipe,the influence of parameters such as ice particle size,pipe diameter,pipe length and curvature radius on the two critical velocities were studied.Results show that the influence of ice particle size and straight pipe length is strong,and the two critical velocities exhibit a significant upward trend,especially on the critical velocity I.The influence of pipe diameter is weak,the two critical flow velocities exhibit a tiny growth trend,and the growth rate tends to be flat,with a variation range of 0.02~0.07 m/s.Bend curvature has a little effect on critical velocities,and the two critical velocities exhibit a slight downward trend,with a variation range of 0.01~0.03 m/s.
作者 朱娜 吴涛 胡平放 罗振宇 ZHU Na;WU Tao;HU Pingfang;LUO Zhenyu(School of Environment Science and Engineering,Huazhong University of Science and Technology,Wuhan 430074,China)
出处 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2022年第10期77-82,共6页 Journal of Huazhong University of Science and Technology(Natural Science Edition)
关键词 冰浆 含冰率 管内流动 临界流速 冰堵 ice slurry ice packing fraction flow in pipe critical velocity ice blockage
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  • 1陈海生,李泓,徐玉杰,陈满,王亮,戴兴建,徐德厚,唐西胜,李先锋,胡勇胜,马衍伟,刘语,苏伟,王青松,陈军,卓萍,肖立业,周学志,冯自平,蒋凯,尉海军,唐永炳,陈人杰,刘亚涛,张宇鑫,林曦鹏,郭欢,张涵,张长昆,胡东旭,容晓晖,张熊,金凯强,姜丽华,彭煜民,刘世奇,朱轶林,王星,周鑫,欧学武,庞全全,俞振华,刘为,岳芬,李臻,宋振,王志峰,宋文吉,林海波,李杰才,易斌,李福军,潘新慧,李丽,马一鸣,李煌.2022年中国储能技术研究进展[J].储能科学与技术,2023,12(5):1516-1552. 被引量:65

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