LAUSR

Abstract Microfluidic chips have been widely used in microfluidic calorimeters. The thermoelectric power can be obtained by measuring the laminar flow peak value of the reaction liquid. Due to heat dissipation and heat inhomogeneity, thermodynamic parameters can not accurately describe the thermal state and thermal properties. With the inlet velocity and velocity ratio in Y-channel as the two key parameters affecting the peak value of thermoelectric power, the reaction heat governing equation is established. The Kriging method is used to establish the reaction heat quantification model and Nondominated Sorting Genetic Algorithm (NSGA-II) is used in global optimization. Then, the Pareto solution set of optimal inlet velocity and optimal velocity ratio is obtained. Finally, the established reaction heat governing model was experimentally verified; The predicted values of the Kriging quantitative model were consistent with the experimental results; The three sets of Pareto solutions can accurately describe the thermal state and thermal properties.