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Theoretical Design Of Infrared Decoy And Study On Its Combustion Radiation Performance

Posted on:2021-05-17Degree:MasterType:Thesis
Country:ChinaCandidate:Y L ShaFull Text:PDF
GTID:2381330602479323Subject:Military chemistry and pyrotechnics
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With the popularization of artificial intelligence,the traditional formulation design method can not meet the current needs,and the emergence of intelligent algorithm provides a new idea for the formulation design of traditional pyrotechnics.In this paper,based on BP,GA,BAS three intelligent algorithms,a prediction model of infrared decoy combustion radiation performance parameters is established,and the optimal formula is predicted.The combustion radiation performance parameters of infrared decoy with different infrared radiation materials were tested.Compared with GRNN and Elman neural network,BP neural network has higher accuracy and smaller error,and the generalization degree is better for the prediction of performance parameters of infrared decoys.In the process of combining BP neural network with genetic algorithm and Beetle algorithm,it is found that the three have good compatibility,which not only guarantees fast convergence speed,but also achieves the predetermined accuracy requirements,and also improves the operation speed.The optimization model of BP-GA-BAS infrared decoy formula is constructed,and the best formula is obtained: PTFE / Mg = 0.51,silicon powder content is 19 The particle size of magnesium powder is 285 ? m,the particle size of PTFE is 4.6 ? m,and the content of shellac is 3.4%.The combustion radiation performance of 12 kinds of infrared additives was tested,and it was found that silicon carbide had the most obvious improvement on the infrared radiation intensity of infrared decoy in the near and middle bands,but the effect was weak in the far infrared band.The porous silicon was prepared by improving the form of the single silicon powder in the infrared decoy agent.The porosity of the porous silicon was 81%.The combustion radiation performance of the stabilized porous silicon infrared decoy agent was tested.It was found that the combustion time and ignition time of the infrared decoy agent after adding porous silicon decreased,and the combustion temperature increased,which indicated that for the blunt The introduction of poroussilicon can improve its ignition ability,make its combustion more stable and chemical reaction more sufficient.The stabilization treatment has little effect on the infrared radiation properties of porous silicon.
Keywords/Search Tags:infrared decoy, genetic algorithm, neural network, beetle algorithm, porous silicon
PDF Full Text Request
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