SCI和EI收录∣中国化工学会会刊

• Fluid Dynamics and Transport Phenomena •

### Dynamics of self-organizing single-line particle trains in the channel flow of a power-law fluid

Xiao Hu, Jianzhong Lin, Dongmei Chen, Xiaoke Ku

1. Department of Mechanics, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
• Received:2020-06-23 Revised:2020-08-20 Online:2021-08-30 Published:2021-06-28
• Contact: Jianzhong Lin
• Supported by:
This work was supported by the National Natural Science Foundation of China (91852102 and 11632016).

### Dynamics of self-organizing single-line particle trains in the channel flow of a power-law fluid

Xiao Hu, Jianzhong Lin, Dongmei Chen, Xiaoke Ku

1. Department of Mechanics, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
• 通讯作者: Jianzhong Lin
• 基金资助:
This work was supported by the National Natural Science Foundation of China (91852102 and 11632016).

Abstract: The formation of self-organizing single-line particle train in a channel flow of a power-law fluid is studied using the lattice Boltzmann method with power-law index 0.6≤n≤1.2, particle volume concentration 0.8%≤Φ≤6.4%, Reynolds number 10≤Re≤100, and blockage ratio 0.2≤k≤0.4. The numerical method is validated by comparing the present results with the previous ones. The effect n, Φ, Re and k on the interparticle spacing and parallelism of particle train is discussed. The results showed that the randomly distributed particles would migrate towards the vicinity of the equilibrium position and form the ordered particle train in the power-law fluid. The equilibrium position of particles is closer to the channel centerline in the shear-thickening fluid than that in the Newtonian fluid and shear-thinning fluid. The particles are not perfectly parallel in the equilibrium position, hence IH is used to describe the inclination of the line linking the equilibrium position of each particle. When self-organizing single-line particle train is formed, the particle train has a better parallelism and hence benefit for particle focusing in the shear-thickening fluid at high Φ, low Re and small k. Meanwhile, the interparticle spacing is the largest and hence benefit for particle separation in the shear-thinning fluid at low Φ, low Re and small k.