Modeling and prediction of ultrasonic attenuations in liquid–solid dispersions containing mixed particles with Monte Carlo method--颗粒学报PARTICUOLOGY

Gu, J., Fan, F., Li, Y., Yang, H., Su, M., & Cai, X. (2019). Modeling and prediction of ultrasonic attenuations in liquid–solid dispersions containing mixed particles with Monte Carlo method. Particuology, 43, 84-91. https://doi.org/10.1016/j.partic.2018.05.004

Modeling and prediction of ultrasonic attenuations in liquid–solid dispersions containing mixed particles with Monte Carlo method

Jianfei Gu, Fengxian Fan, Yunsi Li, Huinan Yang, Mingxu Su ^*, Xiaoshu Cai

Institute of Particle and Two-Phase Flow Measurement/Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

10.1016/j.partic.2018.05.004

Volume 43, April 2019, Pages 84-91

Received 21 January 2017, Revised 27 January 2018, Accepted 3 May 2018, Available online 28 October 2018, Version of Record 19 February 2019.

E-mail: sumx@usst.edu.cn

Highlights

• Monte Carlo method (MCM) was used to predict ultrasonic attenuation of monodisperse mixed particles.

• A model for predicting the ultrasonic attenuation in liquid–solid two-phase systems was developed.

• The simulation results with a single particle type were compared with various standard models.

• The MCM can give a more direct description of the physics of sound propagation.

Abstract

We develop a theoretical model for predicting the ultrasonic attenuation in the liquid–solid system containing mixed particles. The ultrasonic attenuation coefficient is obtained by counting the number of phonons that reach the receiver. Using the Monte Carlo method (MCM), numerical simulations were performed to predict the ultrasonic attenuations with not only a single particle type but also monodisperse and polydisperse mixed particles. The simulation results for the systems with a single particle type were compared with various standard models. The results show that they agree well at relatively low particle volume concentrations (within 10%). For systems with mixed particles, the particle volume concentration was found to increase to around 10%, and the variation of the ultrasonic attenuation against the mixing ratio yields a nonlinear trend. Moreover, the ultrasonic attenuation is significantly affected by particle properties. The numerical results also show that both the particle type and particle size distribution should be carefully taken into account in the dispersions with polydisperse mixed particles, where the MCM can give a more direct description of the physics of sound propagation compared with the conventional models.

Graphical abstract

Keywords

Ultrasound; Ultrasonic attenuation; Monte Carlo method; Particle size measurement

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