This work measured the kinetic data for the etherificatio n of pyrocatechol with methallyl chloride and proposed a kinetic model for the r eaction process according to the factor analysis of the reaction process and the data. The model included a desirable main reaction with two concomitant side r eactions. The activation energy values of the main and side reactions were obta ined, and the optimal reaction conditions such as reaction temperature, time, fe eding time of methallyl chloride were discussed based on the reaction model. Wh ile a concomitant reaction was intensified at a lower temperature, another conco mitant reaction was intensified at a higher temperature.
This paper proposes a modified model of eddy viscosity distribution for liquid flow in bubble columns based on a relationship from single-phase flow and then develops a liquid circulation model for bubble columns.The comparison between the liquid circulation model and the reported experimental data shows that the liquid circulation model based on the modified model of eddy viscosity distribution not only agrees with the data very well but also has a wide application range.In addition, the determination of the model parameters is discussed according to the simulation for the reported data with this model.
A modified genetic algorithm of multiple selection strategies, crossover strategies and adaptive operator is constructed, and it is used to estimate the kinetic parameters in autocatalytic oxidation of cyclohexane. The influences of selection strategy, crossover strategy and mutation strategy on algorithm performance are discussed. This algorithm with a specially designed adaptive operator avoids the problem of local optimum usually associated with using standard genetic algorithm and simplex method. The kinetic parameters obtained from the modified genetic algorithm are credible and the calculation results using these parameters agree well with experimental data. Furthermore, a new kinetic model of cyclohexane autocatalytic oxidation is established and the kinetic parameters are estimated by using the modified genetic algorithm.
