A thermal analysis kinetics method under flowing conditions based on distributed temperature sensing
Addressing the needs for risk assessment and process optimization in continuous flow production,research was conducted to explore thermodynamic and kinetic calculation methods under flow conditions.By analyzing the thermal balance and material equilibrium of tubular reactors,a thermal analysis kinetics method applicable to flow conditions was designed.Subsequently,a continuous flow reaction experimental platform was constructed based on measurement principles for validation.Initially,temperature sensors distributed at various positions within the pipeline were employed to capture the temperature distribution during the experimental process.The equivalent overall heat transfer coefficient of the reaction pipeline was calibrated,and used in conjunction with segmented temperature distributions to calculate the enthalpy of the reaction.Subsequently,given the tendency to overlook temperature distribution in kinetic analyses,the study integrated calorimetric results and reactor models to compute kinetic parameters.The practicality of this approach was studied using the hydrolysis reaction of ethyl acetate and sodium hydroxide as an example.During the experiments,adjusting flow rates was employed to locate the peak temperature distribution,thereby enhancing the accuracy of calculated reaction enthalpy.The experimental outcomes revealed that under suitable flow conditions,the calculated reaction enthalpy closely matched results from batch experiments and established literature values.Moreover,the flow calorimetric method exhibited higher experimental efficiency,lower liquid holdup,and increased safety during the experiment.The kinetic analysis results were in close alignment with literature values,showing a relative error of less than 3％in the activation energy calculations.Combining calorimetric results with kinetic parameters allowed the use of reactor models to predict temperature distributions under varying conditions,demonstrating a close correlation with measured values.This serves as valuable guidance for subsequent risk assessments and process optimizations in the realm of reaction evaluation and procedural enhancements.
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