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Numerical and experimental investigation of the self-inducing turbine aeration capacity

机译:涡轮自感曝气能力的数值和实验研究

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Self-inducing turbines are a model of mixers that ensure the aeration of a fluid field without using a sparger and a surface aerator. Nevertheless, this type of turbines remain quite complicated in terms of behavior of the fluid within the tank, and its actual aeration capacity varies depending on the type of turbine used. The studied turbine is self-inducing and made of three blades and each blade contains five holes. In this work, we evaluated experimentally - using the technique of dynamic oxygenation and deoxygenating - the aeration capacity of our impeller by calculating the volumetric mass transfer coefficient k_La for various submergences and various inclination angles of the blade. This work was then validated by a numerical modeling using the commercial code Fluent, and the flow within the tank as well as the evolution of the hydrodynamic parameters was also studied. The simulation is steady state with a VOF multiphase model and the realizable k-ε turbulence model. We finally concluded that k_La decreases with the increase of the inclination angle and with the increase of the submergence of our turbine. We could also study the hydrodynamic parameters of the flow such as the power number, the aeration number and the shear rate.
机译:自感应式涡轮机是混合器的模型,该混合器可确保在不使用喷射器和表面曝气器的情况下对流场进行曝气。然而,这种类型的涡轮机在箱内流体的行为方面仍然非常复杂,并且其实际通气能力根据所使用的涡轮机的类型而变化。所研究的涡轮机是自感应式的,由三个叶片组成,每个叶片包含五个孔。在这项工作中,我们通过使用动态充氧和脱氧技术,通过计算叶片的各种浸入度和各种倾角的体积传质系数k_La,通过实验评估了叶轮的充气能力。然后通过使用商业代码Fluent进行的数值建模对这项工作进行了验证,并且还研究了水箱内的流量以及流体力学参数的演变。使用VOF多相模型和可实现的k-ε湍流模型进行稳态仿真。我们最后得出结论,k_La随倾斜角的增加和涡轮机浸没的增加而减小。我们还可以研究流体的流体动力学参数,例如功率数,曝气数和剪切速率。

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