Application Of MATLAB In Calculating Halogenated Silane Phase Equilibrium

Distillation is perhaps the most widely used separation process in chemical industry. The correct design of the distillation column requires the availability of accurate vapor-liquid equilibrium (VLE) data. For an ideal system, it is relatively easy to estimate vapor-liquid equilibria. However, most systems such as halogenated silane systems of industrial interest show deviations from the ideal behavior, for example, low boiling points, bad stability, easy volatilization in halogenated silane systems, leading to difficulty in experimental management. Therefore, the VLE data of the halogenated silane systems are scarce in the literature.In the paper, MATLAB optimization toolbox and artificial neural network (ANN) was used to calculate the VLE of the halogenated silane systems. Choosing nine binary systems: at 101.325kPa, methyltrichlorosilane+dimethyldichlorosilane, methyltrichlorosilane+benzene, dimethyldichlorosilane+benzene; at 101.3kPa, methyldichlorosilane+toluene, methylvinyldichlorosilane+toluene,methyldichlorosilane+ methyltrichlorosilane, methyltrichlorosilane+ toluene, methyldichlorosilane+ methyltrichlorosilane, methyltrichlorosilane+methyltrichlorosilane as the study object, MATLAB optimization toolbox was used to calculate Wilson optimum model parameters, bubble-point temperature and vapor composition. Choosing experimental VLE data of the nine systems as training and validating samples of artificial neural network, artificial neural network prediction model of VLE was built. The mean absolute error(MAE) of artificial neural network are the least of MATLAB optimization and literatue, artificial neural network also get satisfactory results. With the artificial neural network, four ternary systems were predicted. The predicted bubble-point temperatures are much closer to the experimental values than the literature.