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Orthogonal analysis of the influencing factors of gas-solid two-phase jet particles

SONG Xinhua LIU Zhenfeng LI Xiaojie YAN Honghao

宋鑫华, 刘振锋, 李晓杰, 等. 正交分析气固两相喷射颗粒的影响因素[J]. 实验流体力学, 2020, 34(5): 57-64. doi: 10.11729/syltlx20190052
引用本文: 宋鑫华, 刘振锋, 李晓杰, 等. 正交分析气固两相喷射颗粒的影响因素[J]. 实验流体力学, 2020, 34(5): 57-64. doi: 10.11729/syltlx20190052
SONG Xinhua, LIU Zhenfeng, LI Xiaojie, et al. Orthogonal analysis of the influencing factors of gas-solid two-phase jet particles[J]. Journal of Experiments in Fluid Mechanics, 2020, 34(5): 57-64. doi: 10.11729/syltlx20190052
Citation: SONG Xinhua, LIU Zhenfeng, LI Xiaojie, et al. Orthogonal analysis of the influencing factors of gas-solid two-phase jet particles[J]. Journal of Experiments in Fluid Mechanics, 2020, 34(5): 57-64. doi: 10.11729/syltlx20190052

正交分析气固两相喷射颗粒的影响因素

doi: 10.11729/syltlx20190052
基金项目: 国家自然科学基金(11672068,11672067)
详细信息
  • 中图分类号: TB126

Orthogonal analysis of the influencing factors of gas-solid two-phase jet particles

More Information
    Author Bio:

    SONG Xinhua (1989-), Male, born in Wuyuan city, Jiangxi Province, doctoral candidate.Engaged in fluid mechanics and electromagnetic wave absorption research.Address:Dalian University of Technology, Dalian City, Liaoning Province (116024).Email:s7x2h4@ncu.edu.cn

    Corresponding author: YAN Honghao, E-mail: yanhh@dlut.edu.cn
  • 摘要: 气固两相颗粒喷射技术应用广泛,故对其影响因素的研究具有重要的工程意义。首先利用正交实验设计原理对压强与质量2个因素进行安排实验;然后基于CFD-DEM模型利用FLUENT进行数值模拟,将计算的结果进行极差分析和方差分析;最后设计一套喷射实验,拍摄颗粒喷射轨迹,并将拍摄图片进行颜色直方图处理。得出以下结论:通过极差分析和方差分析得出压强的影响大于质量,且当压强为0.3 MPa、质量为2 g时,其均值最小;当压强取值为0.3 MPa、质量取值为2 g时,其喷射效果达到最优化,且拍摄的效果最佳,与数值模拟的结果一致。
  • 图  1  模型简图

    Figure  1.  Schematic diagram of the model

    图  2  正交实验颗粒损失量

    Figure  2.  Particle loss in orthogonal experiments

    图  3  喷射实验示意图

    Figure  3.  Schematic diagram of injection experiment

    图  4  喷射颗粒的数值模拟图和拍摄轨迹图(P=0.3 MPa,m=2 g)

    Figure  4.  Numerical simulations of the sprayed particles and the trajectory of the shot (P=0.3 MPa, m=2 g)

    表  1  Specified parameters

    Table  1.   Specified parameters

    Factors Exp. 1 Exp. 2 Exp. 3 Exp. 4 Exp. 5 Exp. 6 Exp. 7 Exp. 8 Exp. 9 Exp.10 Exp.11 Exp.12 Exp.13 Exp.14 Exp.15 Exp.16
    Pressure/MPa 0.2 0.2 0.2 0.2 0.3 0.3 0.3 0.3 0.4 0.4 0.4 0.4 0.5 0.5 0.5 0.5
    Quality/g 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4
    下载: 导出CSV

    表  2  Tracking the number of particles trapping and the total number of particles (500 steps)

    Table  2.   Tracking the number of particles trapping and the total number of particles (500 steps)

    Factors Exp.1 Exp.2 Exp.3 Exp.4 Exp.5 Exp.6 Exp.7 Exp.8 Exp.9 Exp.10 Exp.11 Exp.12 Exp.13 Exp.14 Exp.15 Exp.16
    Trap number 40 74 81 66 42 21 39 31 44 30 35 41 66 45 42 87
    Total number 321 327 259 251 186 215 146 349 146 151 93 114 143 190 140 179
    下载: 导出CSV

    表  3  Variance analysis of pressure and quality impact

    Table  3.   Variance analysis of pressure and quality impact

    Factors Square of
    deviance
    Degree of
    freedom
    F
    ratio
    F
    critical-value
    Pressure 0.093 3 1.431 4.760
    Quality 0.037 3 0.569 4.760
    Error 0.130 6
    下载: 导出CSV

    表  4  Experimental measurement instrument list

    Table  4.   Experimental measurement instrument list

    Serial number Device name Model number Manufacturing company
    1 Air compressor OD1012 FujianJuba Machinery Co. LTD
    2 Ball valve FG-55658 FEGEER
    3 DMF-Z DMF-Z-20 CHCR
    4 Powder particle —— HenanSuhe Biotechnology Co. LTD
    5 Electronic scales JM1003 Yuyao Jiming Weighing and Verifying Equipment Co. LTD
    6 High-speed camera Fastcam Ultima APX Photron Corporation of Japan
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-04-13
  • 修回日期:  2019-05-05
  • 刊出日期:  2020-10-25

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