Machine learning method to explore the process conditions of ethanol catalytic coupling to prepare C4 olefins

C4 olefins are commonly used in chemical products and pharmaceutical production. Ethanol is the raw material for the production of C4 olefins. In the production process, changes of experimental conditions will have a significant impact on production efficiency. It can greatly optimize production efficiency and save the economy to screen appropriate reaction conditions and design catalyst combinations. For this issue, separate regression models were established to quantify the influence of various factors on the reaction performance from the perspectives of charging method, catalyst reaction time, reaction temperature and catalyst composition. The optimal process preparation conditions are obtained by solving the objective optimization problem. The results show that the C4 olefin yield can reach a maximum of 128.52%. When the temperature is set to 450 deg C and the catalyst combination is "200mg 0.5wt%Co/SiO2-200mg HAP-ethanol concentration 0.3ml/min".