Modeling and optimization of combustion process of 2-propanol over perovskite-type LaMnyCo1−yO3 nanocatalysts by an unreplicated experimental design with mixture-process variables and genetic algorithm methodology

Modeling and optimization of catalytic oxidation of 2-propanol over LaMnyCo1−yO3 nano perovskites was carried out by an unreplicated mixture-process experimental design and genetic algorithm methodologies, respectively. Mixture variables were the components of perovskites in B sites: cobalt and manganese. The process variables were calcination temperature and reaction temperature. An eight term statistical model was proposed to fit the experimental data with determination coefficient of 0.982. The effect of composition and process variables on 2-propanol conversion and interaction of variables was studied by the model. It was found that the activity of nano perovskites increases with a decrease in calcination temperature and an increase in Mn mole fraction in the catalyst. Full conversion of 2-propanol was predicted to occur over LaMn0.65Co0.35O3 at calcination and reaction temperatures of 700 and 273 °C, respectively. The structure of nano perovskites was characterized by XRD and FTIR and the morphology was investigated by SEM technique.