论文部分内容阅读
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??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???SST k???标准k???标准k???S?A?Lam.
In order to determine the viscous flow model which is suitable for the LSFBS flow field simulation, multiple viscous flow models were selected to simulate the separation process of coarse slime particles in LSFBS. The effects of turbulence anisotropy and curl, strain rate gradient distribution and so on on Lam model and eddy viscosity model are discussed. The results show that the different density grade components There is a big difference in the distribution rate of heavy products, among them, the error of the Reynolds stress model (RSM) is the smallest, with the root mean square error of 2.21 and the high prediction accuracy. The error of Lam model simulation And the root mean square error was 5.96. The smallest error in the eddy viscosity model was the RNG k model, with a root mean square error of 2.46. The simulation results for each of the viscous flow models were RSM RN RNG k S SST k ?? Standard k ??? Standard k ??? S? A? Lam.