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通过5点Gauss-Hermite积分拟合粒子与固壁碰撞后,反弹速度和角度的概率密度分布试验数据,建立粒子与固体碰撞/概率反弹模型.将该模型应用于直升机用整体式预旋与非预旋进气粒子分离器气固两相流场数值模拟,并与另外两种常用的粒子与固壁碰撞反弹模型(平均恢复系数模型、完全弹性碰撞模型)的计算结果进行了对比.结果表明:上述3种碰撞模型都能较好地预测AC粗砂的分离效率;对于C级砂,基于完全弹性碰撞模型的预测结果则过低;基于平均恢复系数模型的预测结果明显偏高,有预旋时尤其明显;而基于概率反弹模型的预测结果处于两者之间,与试验结果吻合更好.
The particle-to-solid collision / probability bounce model was established by fitting the Gaussian-Hermite integral of 5 points to the experimental data of the probability density distribution of the bounce rate and angle after the collision between the particle and the solid wall. The numerical simulation of the gas-solid two-phase flow field in the pre-cyclone particle separator is compared with the results of two other commonly used models of particle-wall collision rebound model (average recovery factor model and total elastic impact model) : The above three kinds of collision models are able to predict the separation efficiency of AC grit better. For the C class sand, the prediction results based on the completely elastic collision model are too low. The prediction results based on the average recovery coefficient model are obviously high. Especially when it is spin, while the prediction based on probability bounce model is between the two, which is in good agreement with the experimental results.