Institute of Refrigeration and Cryogenics Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Nanjing Vocational Institute of Transport Technology, Nanjing 211188, Jiangsu Province, China
In the paper, the standard k-ε model and the SST k-ω model were employed to predict the velocity field in the jet mixing tank, and the simulation results were validated by experimental data. It showed that the standard k-ε model can predict the velocity field of jet mixing tank more accurately than the SST k-ω model. The standard k-ε model was applied to investigate the effects of the jet inclination angle (i.e., 0°, 10°, 20°, 30° and 40°) and the jet velocity (i.e., 14, 16, 18 and 20m/s) on the mixing uniformity of the jet mixing oxidation pond. Based on the evaluation criterions: un-precipitated area ratio (UPAR) and non-uniform velocity coefficient (NUVC) proposed in the paper, when the jet inclination angle and jet velocity are 10° and 18m/s, respectively, the jet mixing effect in the oxidation pond is the best. The study can be helpful for the optimization of the flow field in the jet mixing oxidation pond to improve the desulfurization efficiency.