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Using Computational Fluid Dynamics Software to Estimate Circulation Time Distributions in Bioreactors

机译:使用计算流体动力学软件估算生物反应器中的循环时间分布

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Nonideal mixing in many fermentation processes can lead to concentration gtradients in nutrients,oxygen,and pH,among others.These tgradients are likely to influence cellular gehavior,growth,or yield of the fermental determine whether computational fluid dynamics(CFD) goal in this study was to determine whether computational fluid dynamics(CFD) software (FLUENT 4 and MixSim) could be used to characterize the CTD in a single-impeller mixing tank.To accomplish this,CFD software was used to simulate flow fields in three different mixing tanks by meshing the tanks with a grid of elements and solving the Navier-Stokes equations using the kappa-epsilon turbulence model.Tracer particles were released for 30 s,and the time taken for these tracer particles to return to the refrerence zone was calculated.CTDs determined by experimental measurement with CTDs determined using CFD simulation.Reproducing the sitgnal processing procedures used in each of the experiments,CFD simulations captured the characteristic featurea of the expermentally measured CTDs.The CFD data suggest new signal processing procedures that predict unimodal CTDs for all three tanks.
机译:在许多发酵过程中不理想的混合会导致营养素,氧气和pH等中的浓度升高。这些梯度可能会影响细胞的行为,生长或发酵产量,从而决定本研究中的计算流体动力学(CFD)目标是否以确定是否可以使用计算流体力学(CFD)软件(FLUENT 4和MixSim)表征单叶轮混合罐中的CTD。为此,使用CFD软件模拟三个不同混合罐中的流场用元素网格对坦克进行网格划分并使用kappa-epsilon湍流模型求解Navier-Stokes方程。释放示踪剂粒子30 s,并计算这些示踪剂粒子返回参考区所需的时间。确定CTDs通过使用CFD模拟确定的CTD进行实验测量。复制每个实验中使用的坐姿处理程序,CFD模拟捕获了CFD数据提出了新的信号处理程序,可以预测所有三个储罐的单峰CTD。

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