Abstract
Based on the function of local multidimensional parameters, the Kriging model and particle swarm-genetic algorithm are used to carry out the research on the optimal design of microchannels with long delay performance. The simulation model of the time-delay microchannel is established, and the simulation model is verified through experiments, and it is found that the actual time-delay time of the fluid in the microchannel is more consistent with the simulation time curve, which ensures the reliability of the sample data source of the Kriging model. The flow time of fluid in the microchannel is taken as the research object, and the finite element simulation framework is built to obtain the data of the microchannel structure parameters and the delay time under centrifugal response in batch to form the sample data. A Kriging model is established from the sample data to fit a highly nonlinear mapping function between the design variables and the optimization target, and a particle swarm-genetic algorithm is used to optimize the parameters of the linear mapping function fitted by the Kriging model. The results show that the delay time of the fluid in the microchannel driven by centrifugal force is improved by 26.9% after shape optimization.
Published Version
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