Yin Chungen
AAU Energy, Aalborg University, DK-9220 Aalborg, Denmark.
Bioresour Technol. 2025 Aug;429:132519. doi: 10.1016/j.biortech.2025.132519. Epub 2025 Apr 11.
Multiphase flows with irregular solid particles are ubiquitous in engineering applications, where particle rotation critically influences dynamics, mixing, phase interactions, and chemical reactions. Conventional particle-tracking models often neglect rotation, focusing solely on translational motion. Recent advances in drag, lift, and torque coefficients for irregular particles, derived from particle-resolved direct numerical simulations, underscore the need of models that account for both translational and rotational motion. This study bridges this gap by developing a novel model that accurately couples these motions. Leveraging drag, lift, and torque coefficients derived from thousands of particle-resolved simulations and an advanced analytical discretization scheme, this model ensures high accuracy, numerical robustness and broad applicability. The model's capabilities are demonstrated through computational fluid dynamics (CFD) simulations of a natural gas/biomass co-fired burner, with biomass particles represented as prolate ellipsoids. The results reveal that biomass particles predominantly rotate around their minor axes, with rotation intensifying as particle size decreases. For equi-volume diameters decreasing from 16.5 mm to 165 µm, peak angular velocities around minor axes surge from approximately 4 to 6,600 rad/s, while those around major axes remain 1-2 orders of magnitude lower, rising from 0.03 to 71 rad/s. Compared to conventional models, this model provides unprecedented insights into particle rotation and significantly improves simulation outcomes without compromising computational efficiency. Notably, it extends particle residence times (∼20 % longer in the 10-meter-long burner chamber), enhances mixing and lateral particle dispersion, and intensifies phase interactions, making it a valuable tool for simulating particle-laden multiphase flows in engineering applications.
含有不规则固体颗粒的多相流在工程应用中无处不在,其中颗粒旋转对动力学、混合、相相互作用和化学反应有着至关重要的影响。传统的颗粒跟踪模型通常忽略旋转,仅关注平移运动。通过颗粒分辨直接数值模拟得出的不规则颗粒的阻力、升力和扭矩系数方面的最新进展,突出了考虑平移和旋转运动的模型的必要性。本研究通过开发一种精确耦合这些运动的新型模型填补了这一空白。利用从数千次颗粒分辨模拟中得出的阻力、升力和扭矩系数以及先进的解析离散化方案,该模型确保了高精度、数值稳健性和广泛的适用性。通过对天然气/生物质共燃燃烧器进行计算流体动力学(CFD)模拟来展示该模型的能力,其中生物质颗粒被表示为长椭球体。结果表明,生物质颗粒主要围绕其短轴旋转,随着颗粒尺寸减小,旋转加剧。对于等体积直径从16.5毫米减小到165微米,短轴周围的峰值角速度从约4弧度/秒激增至6600弧度/秒,而长轴周围的峰值角速度则低1 - 2个数量级,从0.03弧度/秒升至71弧度/秒。与传统模型相比,该模型为颗粒旋转提供了前所未有的见解,并在不影响计算效率的情况下显著改善了模拟结果。值得注意的是,它延长了颗粒停留时间(在10米长的燃烧室内约长20%),增强了混合和颗粒横向扩散,并强化了相相互作用,使其成为模拟工程应用中含颗粒多相流的宝贵工具。