选用3种简单常用的双方程湍流模型,分析不同湍流模型计算结果的精度。通过调节模型参数,将模拟数据与相同条件下激光多普勒试验数据进行逼近,提出了应对高压射流的最佳的粘度系数。结果表明,标准k-ε模型计算结果随着Cμ值的改变,大致呈线性关系;RNG k-ε模型计算结果对C值更为敏感;湍动能峰值出现在射流半径之内,则影响下游射流速度的变化趋势,反之,则影响射流速度大小。此项工作对复杂物理过程进行了合理简化,可用于缩短超高压水射流技术的CAE设计周期。
Three commonly used two-equation turbulence models were adopted. The computed velocity field was compared with the data from corresponding laser Doppler anemometer measurement to analyze the accuracy of these models. By adjusting the model parameters, the simulation data can fit into the experimental result. The optimal viscosity coefficients Cμ in these used eddy viscosity models were presented. It is shown that the RNG k-ε model is more sensitive to Cμ while the results from Standard k-ε model vary almost linearly with the change of the Cμ value. Study on the simulated flow field gives that if the peak of turbulence kinetic energy appears within the radial span, it will affect the velocity distribution along the jet axis; otherwise, it will modify the velocity magnitude. The proposed numerical scheme reduces the physical complexities involved in ultra-high pressure injection process so that it can be applied to archive fast production from relevant CAE workflow.