Design and optimization of solid rocket motor Finocyl grain using simulated annealing

来源 :航空动力学报 | 被引量 : 0次 | 上传用户:zhgrmlshr
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The research effort outlined the application of a computer aided design(CAD)-centric technique to the design and optimization of solid rocket motor Finocyl(fin in cylinder) grain using simulated annealing.The proper method for constructing the grain configuration model,ballistic performance and optimizer integration for analysis was presented.Finocyl is a complex grain configuration,requiring thirteen variables to define the geometry.The large number of variables not only complicates the geometrical construction but also optimization process.CAD representation encapsulates all of the geometric entities pertinent to the grain design in a parametric way,allowing manipulation of grain entity(web),performing regression and automating geometrical data calculations.Robustness to avoid local minima and efficient capacity to explore design space makes simulated annealing an attractive choice as optimizer.It is demonstrated with a constrained optimization of Finocyl grain geometry for homogeneous,isotropic propellant,uniform regression,and a quasi-steady,bulk mode internal ballistics model that maximizes average thrust for required deviations from neutrality. The research effort outlined the application of a computer aided design (CAD) -centric technique to the design and optimization of solid rocket motor Finocyl (fin in cylinder) grain using simulated annealing. The proper method for constructing the grain configuration model, ballistic performance and optimizer integration for analysis was presented .Finocyl is a complex grain configuration, requiring thirteen variables to define the geometry.The large number of variables not only complicate the geometrical construction but also optimization process. CAD representation encapsulates all of the geometric entities pertinent to the grain design in a parametric way, allowing manipulation of grain entity (web), performing regression and automating geometrical data calculations. Robustness to avoid local minima and efficient capacity to explore design space makes simulated an attractive choice as optimizer. It is demonstrated with a constrained optimization of Finocyl grain geometry for homogeneo us, isotropic propellant, uniform regression, and a quasi-steady, bulk mode internal ballistics model that maximizes average thrust for required deviations from neutrality.
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