关键词:

翼型桨, 斜叶桨, 气含率, 机械搅拌, 挡板, 人工神经网络

Abstract: A fractional gas hold-up performance in mechanically agitated reactor (i.d. range is 0.382m to 1.16m) with mixed hydrofoil impeller 6k5 and Rushton turbine was presented. The effects of geometrical variables,including the ratio of impeller diameter,the distance between impellers,the clearance of lower impeller, gas sparger position, the baffle type,and the operating conditions such as agitator speed, the rate of gas, and the pumping mode of axial impeller 6k5 on fractional gas hold-up were investigated. With the dimensionless and dimensional methods, two correlations were proposed, but their prediction ability was not satisfactory.The correlation based on artificial neural network was established.It was able to predict fractional gas hold-up reasonably well and the relative mean error of generalization by this neural network model was within ±10%, if the parameters were in the trained range. The neural network model could be used for offline prediction and parameter optimization, and could be useful for scale-up because dimensionless parameters were used.

Key words:

翼型桨, 斜叶桨, 气含率, 机械搅拌, 挡板, 人工神经网络