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A STUDY OF THE ACCURACY, GLOBAL PERFORMANCE, AND COMPUTATIONAL EXPENSES OF k - ε , k - ω , AND RSM TURBULENT MODELS FOR FLOW IN AN INDUSTRIAL STATIC MIXER

机译:工业静态混合器中k-ε,k-ω和RSM湍流模型的精度,整体性能和计算费用的研究

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Viscous liquids have to be homogenized in continuous operations in many branches of processing industries; and therefore, fluid mixing plays a critical role in the success or failure of many industrial processes. The use of static mixers has been utilized over a wide range of applications such as continuous mixing, blending, heat and mass transfer processes, chemical reactions, etc. Consequences of improper mixing include non-reproducible processing conditions and lowered product quality, resulting in the need for more elaborate downstream purification processes and increased waste disposal costs. This paper extends previous studies by the authors on an industrial helical static mixer and illustrates how static mixing processes of single-phase viscous liquids can be simulated numerically. It also intends to present an improved understanding of the turbulent flow pattern for single-phase liquids through the mixer. Three-dimensional finite volume simulations are used to study the performance of the mixer for a range of practical Reynolds numbers, using three different turbulent models: k - ε model, k - ω model, and RSM model. The accuracy, global performance and costs of the different turbulent models have been examined. The flow velocities, pressure drops, etc. are calculated for each model. The calculated pressure drop of each case is compared with experimental results. Using different tools, the mixing results obtained from the different models are studied and compared.
机译:在加工行业的许多分支机构中,必须在连续操作中将粘性液体均质化;因此,流体混合在许多工业过程的成败中起着至关重要的作用。静态混合器的使用范围广泛,例如连续混合,混合,传热和传质过程,化学反应等。混合不当的后果包括不可重复的加工条件和降低的产品质量,导致需要更精细的下游净化工艺并增加废物处理成本。本文扩展了作者先前在工业螺旋静态混合器上的研究,并说明了如何通过数值模拟单相粘性液体的静态混合过程。还旨在提供对通过混合器的单相液体的湍流模式的改进理解。使用三个不同的湍流模型:k-ε模型,k-ω模型和RSM模型,使用三维有限体积模拟来研究一系列实际雷诺数的混合器性能。已经检查了不同湍流模型的准确性,整体性能和成本。计算每个模型的流速,压降等。将每种情况下计算出的压降与实验结果进行比较。使用不同的工具,研究和比较了从不同模型获得的混合结果。

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