论文标题
迈向高级CFD-DEM：开发和验证
Towards High-Order CFD-DEM: Development and Validation
论文作者
论文摘要
CFD-DEM用于模拟固体流体系统。 DEM模拟离散颗粒的运动，而CFD模拟流体相。耦合两者都必须计算空隙分数和固体液体的力，从而导致计算昂贵的方法。另外，评估体积平均量的局部限制了粒子与细胞大小比率限制了CFD的准确性。为了减轻这些局限性，我们开发了一个单片有限元元素CFD-DEM求解器，该求解器支持动态负载平衡的并行化。随着负载平衡，这可以进行更稳定，准确和效率的仿真，可确保处理器之间的工作负载均匀分布；因此，有效利用可用资源。我们的求解器还支持高级方案；因此，允许使用较大的元素，以增强空隙分数方案的有效性和稳定性，同时达到更好的准确性。我们用大量的测试用例验证和验证CFD-DEM求解器：雷利·泰勒的不稳定性，颗粒沉积，流化的床和喷嘴床。
CFD-DEM is used to simulate solid-fluid systems. DEM models the motion of discrete particles while CFD models the fluid phase. Coupling both necessitates the calculation of the void fraction and the solid-fluid forces resulting in a computationally expensive method. Additionally, evaluating volume-averaged quantities locally restricts particle to cell size ratios limiting the accuracy of the CFD. To mitigate these limitations, we develop a monolithic finite element CFD-DEM solver which supports dynamically load-balanced parallelization. This allows for more stable, accurate and time efficient simulations as load balancing ensures the even distribution of workloads among processors; thus, exploiting available resources efficiently. Our solver also supports high order schemes; thus, allowing the use of larger elements enhancing the validity and stability of the void fraction schemes while achieving better accuracy. We verify and validate our CFD-DEM solver with a large array of test cases: the Rayleigh Taylor instability, particle sedimentation, a fluidized bed, and a spouted bed.
