Determination of Local Gas Holdup and Volumetric Mass Transfer Coefficient in a Bubble Column by Means of an Ultrasonic Method and Neural Network

摘要

Gas holdup and the volumetric mass transfer coefficients are very important parameters for mass transfer operation in bubble columns. Up to now, a number of investigations on gas holdup and the volumetric mass transfer coefficient of bubble column systems have been reported. Previous research work by Akita and Yoshida [1], Shah et al. [2], Kawase et al. [3-4]; Kumar et al. [5] amongst others, has proposed empirical and semi theoretical equations to determine gas holdups and volumetric mass transfer coefficients according to experiment data. However, most research is limited to the measurement and the development of mechanical or theoretical models in the conventional manner. It is important to develop a novel method to acquire a good understanding of gas-liquid mass transfer behavior in a bubble column.