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Optimization Design And Numerical Simulation On Interior Ballistics Of Regenerative Liquid Propellant Gun

Posted on:2014-01-05Degree:MasterType:Thesis
Country:ChinaCandidate:X Y JuFull Text:PDF
GTID:2232330395483408Subject:Armament Launch Theory and Technology
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Nowadays military experts from all over the world have been studying a lot of new conception guns. According to the industrial basis and the technical reservation, Liquid Propellant Gun (LPG) is technically mature and is the least far from applying to engineering at present. Based on the technological routing of improving the muzzle velocity of the projectile, this thesis studied mainly about the optimization design and numerical simulation on interior ballistics of Regenerative Liquid Propellant Gun (RLPG). The main studies are as follows:1) The modified zero dimensional model on interior ballistic of RLPGIn the engineering background of RLPG, this article mainly studied the modified zero dimensional model on interior ballistic of RLPG and discussed four droplet combustion model.2) The optimization design model on interior ballistic of RLPGBased on the study of the theory of the optimization design, combined with the characteristics of RLPG, set up two kinds of optimization design model:the genetic algorithm model and the simulated annealing algorithm model.3) The numerical simulation on interior ballistic of RLPGProgrammed and simulated the modified zero dimensional model. After comparing with the previous experimental results, it shows that the simulation results match well with the experimental results.4) The optimization design simulation software on interior ballistic of RLPGAccording to the optimization design model, developed the optimization design simulation software on interior ballistic of RLPG. Through debugging each parameters, obtained a better optimal result by the optimization.
Keywords/Search Tags:Liquid Propellant Gun, liquid atomization combustion, optimization design, genetic algorithms, simulated annealing algorithm
PDF Full Text Request
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