Inertial Delay Microchannel Optimization Design Based on Neural Network and Artificial Fish Swarm Algorithm
In order to ensure the safety control requirements for the use of medium and small caliber ammunition fuses,an inertial delay microchannel was designed with pin fin damping structure.At the same time,in order to ensure its stable delay performance,the delay performance of this microchannel under high centrifugation speed was studied.The neural network model and artificial fish swarm algorithm were adopted to optimize structural position of the pin fins in the serpentine microchannel.A two-phase flow level set model was applied to simulate the delay time of microchannels and 180 sets of sample data were obtained.Analysis showed that different posi-tions of the pin fin structure in the microchannels exhibited a highly nonlinear relationship with the delay time.A neural network model was established based on sample data to fit the mapping function between design varia-bles and optimization objectives,which used artificial fish swarm algorithm to optimize the parameters of map-ping function fitted by neural network model.Experimental results showed that after structural optimization,the delay time of the fluid in the microchannel under high-speed centrifugal environment increased from 11.446 ms to 25.054 ms,and the delay effect improved a lot.Finally,delay characteristics of the optimized structure in the application environment of medium and small caliber ammunition fuzes were studied,which indicated that it met the delay control requirements of most medium and small caliber ammunition fuzes.
inertiadamping structurepin findelayed microchannelartificial fish swarm algorithmneural network
万方数据
维普
