Diffusive Lagrangian Mixing Simulation (DLMS) is an adaptation of the Lagrangian Mixing Simulation (LMS) algorithm, taking in account the diffusive scales. LMS is a Lagrangian method that positions particles over a Eulerian velocity field to track the flow front between two fluids in a mixer. A mixing interface is formed where quantities such as interfacial area and segregation scales can be measured. In DLMS, the interface is only generated if the local segregation scale is above a threshold value, below which the contacting front between fluids is ruptured. The elimination of particles in diffusion dominated regions makes DLMS more realistic and in addition the computation is faster than in LMS. To develop and illustrate the application of DLMS, 2D CFD simulations of the flow in Confined Impinging Jets (CIJ) reactors are used. The comparison between DLMS and LMS results is done for a particular case, Re = 600. Furthermore, the DLMS algorithm is here applied to active mixing cases, enabling their benchmark. DLMS particle tracking was simulated with first order method in a chaotic velocity field obtained from CFD simulations with second order method.

扩散拉格朗日混合模拟（DLMS）是拉格朗日混合模拟（LMS）算法的改编，其中考虑了扩散比例。LMS是一种拉格朗日方法，可将粒子定位在欧拉速度场上，以跟踪混合器中两种流体之间的流动前沿。形成了一个混合界面，可以在其中测量诸如界面面积和偏析水垢的数量。在DLMS中，仅当局部偏析尺度大于阈值时才生成界面，在该阈值之下，流体之间的接触前沿会破裂。消除了扩散占主导的区域中的粒子，使得DLMS更加逼真，此外，与LMS相比，计算速度更快。为了开发和说明DLMS的应用，使用了密闭射流（CIJ）反应器中流动的二维CFD模拟。DLMS和LMS结果的比较是针对特定情况（Re = 600）进行的。此外，此处将DLMS算法应用于主动混合情况，以实现基准测试。在由二阶方法的CFD模拟获得的混沌速度场中，以一阶方法模拟了DLMS粒子跟踪。