The coupling of Computational Fluid Dynamics (CFD) and Discrete Element Model (DEM) is a powerful tool for simulating dense particulate systems, yet the conventional CFD-DEM has limits for systems with large particle numbers and complex geometry. This paper reports a novel GPU-based CFD-DEM model to simulate the gas–solid flow with large particle numbers and complex geometry. A novel coupling strategy between the CFD solver and DEM solver is developed, featuring high efficiency and stability. The developed model is validated against the experimental measurements, and its efficiency is compared to the previous CFD-DEM simulations. Then, for demonstration, the model is employed to simulate the dynamic behavior of gas–solid flow in the raceway in ironmaking blast furnaces by considering complex tuyere structure details and the huge particle numbers involved. This model allows to study the effect of the tuyere angle in terms of raceway formulation and tuyere erosion. The results show that the largest and most stable raceway volume can be reached at 5° downward tuyere, although the −5° tuyere nose experiences more wear than 10° downward tuyere. The model provides a cost-effective tool to overcome the longstanding challenge of simulating dense fluid-particle systems with huge particle numbers and complex geometry.

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GPU 加速的 CFD-DEM 复杂几何形状气固流建模及其在工业规模高炉滚道动力学中的应用

计算流体动力学 (CFD) 和离散元模型 (DEM) 的耦合是模拟密集颗粒系统的强大工具，但传统的 CFD-DEM 对于具有大量颗粒和复杂几何形状的系统有限制。本文报道了一种基于 GPU 的新型 CFD-DEM 模型，用于模拟具有大颗粒数和复杂几何形状的气固流。开发了一种新颖的CFD求解器和DEM求解器之间的耦合策略，具有高效、稳定的特点。开发的模型根据实验测量进行了验证，并将其效率与之前的 CFD-DEM 模拟进行了比较。然后，为了演示，考虑复杂的风口结构细节和涉及的巨大颗粒数量，采用该模型模拟炼铁高炉滚道内气固流动的动态行为。该模型可以研究风口角度对滚道配方和风口侵蚀的影响。结果表明，尽管-5°向下风口比10°向下风口磨损更多，但在5°向下风口处可以达到最大且最稳定的滚道体积。该模型提供了一种经济高效的工具，可以克服模拟具有大量颗粒和复杂几何形状的致密流体颗粒系统的长期挑战。