搅拌反应器内液—液分散特性的CFD-PBM数值模拟
[Abstract]:Liquid-liquid stirred reactor is widely used in metallurgy, chemical industry, pharmaceutical industry and so on. It is an important industrial equipment to promote interphase mixing, mass transfer, heat transfer, extraction, crystallization, dispersion and so on. The computational fluid dynamics (CFD) model is difficult to accurately predict the liquid-liquid dispersion system due to the coupling between phases and the complexity of droplet fragmentation and coalescence in the study of liquid-liquid dispersion system. Based on CFD and population equilibrium model, the liquid-liquid dispersion system in stirred reactor is studied deeply in this paper. The results can provide reference and guidance for the optimization design of large-scale liquid-liquid stirred reactor. In this paper, the compressible two-fluid model in CFD is analyzed in detail. Combined with the integral moment method (QMOM) and the extended integral moment method (EQMOM), the pressure Poisson equation in the governing equation is combined with the integral moment method (QMOM) and the extended integral moment method (EQMOM),). The moment transfer equation is reconstructed and optimized to realize the stability of parallel solution, the boundedness and conservation of phase fraction, the boundedness and realizability of moment. At the same time, the CFD is coupled with the population equilibrium model and implanted into OpenFOAM. The simulation results are in good agreement with the experimental data. Surfactant has a direct effect on droplet fragmentation and coalescence in liquid-liquid dispersion system. In this paper, QMOM is used to solve the population equilibrium model and CFD is used to study the liquid-liquid dispersion system with additional surfactants. The results show that surfactant makes the coalescence of droplets difficult to occur, and the predicted average Sauter diameter and experimental data of MB and Lehr fragmentation models deviate greatly. The average Sauter diameter predicted by the improved MF fragmentation model is in good agreement with the experimental data and is better than that predicted by the CT and Alopaeus fragmentation models. For liquid-liquid dispersion systems with low discrete phase holdup, the coalescence behavior is difficult to occur due to the low probability of droplet collision. In this paper, different experimental data are selected from the literature. Different fragmentation models are used to study the effects of discrete phase viscosity and amplification effects on droplet fragmentation. Ct fragmentation model assumes that the breakup frequency of droplets is mainly dependent on turbulent kinetic energy dissipation rate. MF fragmentation model considers that the breakup frequency of droplets is mainly dependent on turbulent kinetic energy dissipation rate. Rate and dissipation rate of turbulent kinetic energy, Turbulence kinetic energy, turbulence scale and other fluid properties are all related. The results show that the CT fragmentation model can not capture the turbulent intermittency and the variation of the mean Sauter diameter caused by the viscosity of the discrete phase. The MF fragmentation model can capture the difference of the average Sauter diameter well. When the phase holdup of the discrete phase increases, the fragmentation and coalescence process of the droplets exist at the same time. The effect of discrete phase holdup on droplet coalescence can be realized by "turbulent damping factor". In this paper, different liquid-liquid dispersion systems with medium discrete phase holdup are selected in the literature, and the breakup and coalescence process of droplets are studied by means of CT and MF models. The results show that the log-normal EQMOM based on the continuous quantitative density function is superior to the conventional QMOM method, and the fragmentation and coalescence process predicted by the CT model is faster than that based on the continuous quantitative density function. The fragmentation and coalescence process predicted by the MF model is dynamic and better reflects the dynamic change process of the experimental data of the average Sauter diameter. The introduction of turbulent damping factor also helps to make the simulation results more accurate.
【学位授予单位】:北京化工大学
【学位级别】:博士
【学位授予年份】:2016
【分类号】:TQ052.5
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