长沙理工大学学报(自然科学版)
基于LBM的颗粒声波尾流效应数值研究
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张云峰(1972-),男,河南民权人,长沙理工大学副教授,博士,主要从事高效传热传质理论与应用等方面的研究.E-mail:549904696@qq.com

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X513

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湖南省建设厅科技项目(KY201005 KY2012012);长沙市科技局科技项目(KQ1602033)


Numerical study of particle acoustic wake effect based on LBM
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    摘要:

    为了确定颗粒放置角度和声波频率对声波尾流效应的影响,采用二维格子 Boltzmann方法模拟了两个颗粒物在声场中的沉降,发现了与试验结果相似的音叉轨迹,验证了该方法与计算模型用于声波尾流模拟的正确性。然后模拟了在忽略重力情况下两个颗粒在声场中由于尾流效应影响而产生的团聚或者排斥现象。研究结果表明,在水平正弦声场作用下,不同声场方向夹角的颗粒之间会产生吸引或者排斥作用,夹角处于0°~35°区间内的颗粒在水平方向上存在吸引作用,35°~90°区间内存在排斥作用,在水平方向上的吸引作用强于排斥作用;夹角处于0°~38°区间内的颗粒在垂直方向上存在吸引作用,38°~90°区间内存在排斥作用,在垂直方向上的吸引作用远小于排斥作用;声场频率会对尾流团聚速度产生影响,声场频率越大,团聚时间越长,团聚速度越小。

    Abstract:

    Inordertodeterminetheinfluenceofparticleplacementangleandacousticfre-quency on the acoustic wake effect, the lattice Boltzmann method was used to simulate thesettlement of two particles in the acoustic field, and tuning fork trajectories similar to theexperimental results were found, which verified the correctness of the method and the calcu-lation model applied to the acoustic wake simulation.The agglomeration or repulsion of twoparticles in the acoustic field due to the wake effect is simulated under the condition of neg-lecting gravity.The results show that the attraction or repulsion will occur between particleswith different angles to the direction of soundfield under the action of horizontal sinusoidalsoundfield.Particles with angles between O and 35 degrees have attraction in the X direc-tion, while particles with angles between 35 and 90 degrees have repulsion in the X direc-tion, and the attraction in the X direction is stronger than the repulsion; particles with an-gles between O and 38 degrees have attraction in theY direction, and particles with anglesbetween 38 and 90 degrees have repulsion in theY direction, while particles with angles be-tween38 and 90 degrees have attraction in theY direction.The effect of induction is muchsmaller than that of rejection.Sound frequency has an effect on wake agglomeration veloci-ty.The higher the frequency of soundfield, the longer the agglomeration time and the lowerthe agglomeration speed.

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张云峰,李涛,刘鹏.基于LBM的颗粒声波尾流效应数值研究[J].长沙理工大学学报(自然科学版),2019,16(2):93-99.
ZHANG Yun-feng, LI Tao, LIU Peng. Numerical study of particle acoustic wake effect based on LBM[J]. Journal of Changsha University of Science & Technology (Natural Science),2019,16(2):93-99.

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  • 在线发布日期: 2022-04-24
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