为确定适于液固分选流化床(LSFBS)流场模拟的粘性流动模型，分别选用多个粘性流动模型模拟了粗煤泥颗粒在LSFBS内的分选过程，结合相关粘性流动模型附加输运方程特点，讨论了LSFBS流场特定区域内湍流的各向异性和旋度、应变速率梯度分布等对Lam模型和涡粘模型准确度的影响. 结果表明，各模型模拟所得不同密度级组分在重产物中的分配率存在较大差异，其中雷诺应力模型(RSM)模拟结果误差最小，与实验结果的均方根误差为2.21，预测准确度较高；层流(Lam)模型模拟结果误差最大，均方根误差为5.96；涡粘模型中误差最小的为RNG k-e模型，均方根误差为2.46；各粘性流动模型模拟结果准确度为RSM>RNG k-e>SST k-w>标准k-e>标准k-w>S-A>Lam.

The separation process of multi-particles of coal in a liquid-solid fluidized bed separator (LSFBS) was simulated with various viscous models, including Reynolds stress (RSM), RNG k-e, SST k-w, Std k-e, Std k-w, S-A and laminar (Lam) models, to examine their application performances in simulation of flow field in LSFBS. The predicted separation results of the partition rate of multi-particles with different densities in the heavy product with these viscous models were obviously different from each other. Specifically, the root-mean-square error (RMSE) of the predicted separation result of RSM, compared with the experimental results, was the smallest, being 2.21. Among the viscous models, Lam gave a most inaccurate result, with a RMSE of 5.96. However, RNG k-e model was the most accurate among the five eddy viscosity models, its RMSE was 2.46. On the whole, the accuracy of these viscous models followed the order of RSM > RNG k-e > SST k-w > Std k-e > Std k-w > S-A>Lam.