The paper studies the regularities of the reaction of catalytic cycloalkylation of phenol with methyl-cyclohexane in the presence of ceolite-U saturated with ortho-phosporic acid. To obtain a target product with the maximum yield, the effect of input variables, i.e. reaction temperature, duration, mole ratio of the initial components, and the catalyst amount has been analyzed. Mathematic interpretation of the experimental data enabled to obtain individual dependences of the output parameter of each input factor in the form of an equation of the second order. The generalized equation of the dependence of the output parameter of the optimization simultaneously on the all input variables has been developed. The optimum conditions of the reaction of obtaining para- (methylcyclo-hexyl) of phenol have been specified.
Determining the theoretical optimal conditions for the acylation of para-(1-methylcyclohexyl) phenol with acetic acid creates the basis for evaluating the prospects of this process. For the carring out the acylation process, para-(1-methylcyclohexyl) phenol (AP) and acetic acid (AcOH) were used as a feedstock. To determine the optimal conditions for the acylation reaction of AP with the help of AcOH in a pilot plant, the effects of temperature, molar ratio of initial compounds, reaction time on the yield and selectivity of the target product were studied. The study of the acylation reaction was carried out in the temperature range of 120-1600C, the reaction time was 20-50 minutes, the molar ratio of AP:AcOH was within 1:0.5÷3. To develop a regression model of the process, it is necessary to identify the functional relationship between the process parameters and use it for further process prediction. Considering that the number of experiments is m=12, and the input variables are n=3, the functional connection can be represented as a non-linear polynomial. To determine the coefficients of the equation, the S-plus 2000 Professional program was used, which allows us to automatically calculate statistical analysis data: quadratic effect coefficients, regression model coefficients and pair correlation coefficients. Applying Student's criterion, significant and insignificant coefficients of the equation were found. To test the adequacy of the model, the Fisher criterion was used, which makes it possible to prove the adequacy of the description of the response surface by regression equations.
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