中文摘要：

为了揭示叶栅内部粒子沉积分布，减少叶栅内粒子沉积，数值研究了二维涡轮叶栅内部固体粒子运动与沉积特性，重点研究了粒径和气流进气角对叶栅内粒子运动与沉积特性的影响。基于El—Batsh沉积模型，考虑了粒子与壁面碰撞所形成的黏附／反弹和离去机制，编制了相应的粒子沉积计算模块集成在Fluent软件中，并利用相关实验数据对本文计算方法进行了验证。研究结果表明，较大粒径粒子随流性较差，碰撞率较高，黏附率较小，较小粒径粒子则相反；粒子沉积主要分布在叶片压力面中部，气流进气角对粒子沉积分布具有重要影响。

英文摘要：

In order to reveal the particle deposition distribution inside the cascade, reduce the particle deposition, a numeri- cal investigation is performed on the movement and deposition of dilute particles inside a two-dimensional turbine cascade, focusing on the effects of particle diameter and flow incidence angle on movement and particle deposition characteristics. Based on the EI-Batsh deposition model including particle sticking/rebounding and particle detachment, the investigation links user definition functions with Fluent to predict particle deposition. A comparison of the numerical results with existing experimental data shows that the present numerical model is valid. The research results show that particles with larger parti- cle diameters do not follow air flow easily, thus exhibiting a higher collision rate and lower sticking rate. Particles with smal- ler particle diameters have the opposite tendency. Particle deposition mainly occurs on the central area of the blade pressure surface. The flow incidence angle has important influence on particle deposition distribution.