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CFD-PBM simulation of droplets size distribution in rotor-stator mixing devices

机译:转子-定子混合装置中液滴尺寸分布的CFD-PBM模拟

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摘要

Rotor-Stator mixing devices (RS) have found widespread application in mixing, dispersion and emulsification processes to acquire the desirable droplet size distribution (DSD) which is critical to the function and quality of products. Thus the precise control of DSD through the rational design and optimization of process or formulation is highly demanded. Computational fluid dynamics (CFD) becomes increasingly important to simulate the complex turbulence flow in RS devices which has significant impact on the final DSD. CFD can also be integrated with population balance equations (PBE) to predict the DSD as long as the droplet breakage and coalescence rates could be accurately modeled by the kernel functions. However, the underlying physics of droplet breakage and coalescence is complex and far from being well understood. We simulated the liquid-liquid two-phase flow and DSD for a weak coalescence emulsification system in a Megatron RS mixer with the CFD-PBM approach, then tentatively proposed a novel approach for correcting the breakage kernels based on the Energy-Minimization Multi-Scale (EMMS) concept. This method features the multi-scale resolution of energy dissipation, and utilizes the so-called meso-scale energy dissipation to derive a correction factor for the breakage rate for PBE. The results show that the new model can greatly improve the CFD-PBM simulation, and the DSD predicted is in good agreement with experiments, demonstrating the rationality and potential of this new approach. (C) 2016 Elsevier Ltd. All rights reserved.
机译:转子-定子混合装置(RS)已在混合,分散和乳化过程中获得广泛应用,以获得对产品功能和质量至关重要的理想液滴尺寸分布(DSD)。因此,对通过合理设计和优化工艺或配方进行DSD的精确控制提出了很高的要求。计算流体动力学(CFD)在模拟RS设备中的复杂湍流变得越来越重要,这对最终DSD产生了重大影响。 CFD还可以与总体平衡方程(PBE)集成在一起,以预测DSD,只要可以通过内核函数准确地模拟液滴的破裂和聚结率即可。但是,液滴破裂和聚结的基本物理原理很复杂,远未得到很好的理解。我们使用CFD-PBM方法在Megatron RS混合器中模拟了弱凝聚乳化系统的液-液两相流和DSD,然后尝试提出了一种基于能量最小化多尺度校正破损核的新方法(EMMS)概念。该方法具有能量消耗的多尺度分辨率,并利用所谓的中尺度能量消耗来得出PBE破损率的校正因子。结果表明,该新模型可以大大改善CFD-PBM仿真,并且预测的DSD与实验吻合良好,证明了该新方法的合理性和潜力。 (C)2016 Elsevier Ltd.保留所有权利。

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