發(fā)布時間：2018-12-09 16:57

【摘要】：在高體積裝填分數(shù)前提下,如何提高發(fā)動機的結(jié)構(gòu)完整性是固體火箭發(fā)動機藥形優(yōu)化設(shè)計面臨的主要問題。通過提出基于粒子群優(yōu)化算法(PSO)的三維固體火箭發(fā)動機藥形快速優(yōu)化設(shè)計方法,采用MSC.Patran的二次開發(fā)工具PCL實現(xiàn)某三維固體火箭發(fā)動機藥柱的參數(shù)化建模,在不改變體積裝填分數(shù)的前提下,分別采用PSO算法和遺傳算法(GA)完成該發(fā)動機藥形的優(yōu)化設(shè)計。結(jié)果表明,兩種方法均能滿足優(yōu)化設(shè)計要求,但PSO算法比GA算法的計算時間縮短了42%,所提方法可快速實現(xiàn)固體火箭發(fā)動機藥形優(yōu)化設(shè)計,提高復(fù)雜三維固體火箭發(fā)動機的結(jié)構(gòu)完整性能。
[Abstract]:Under the premise of high volume loading fraction, how to improve the structural integrity of solid rocket motor is the main problem in the optimization design of solid rocket motor. Based on particle swarm optimization algorithm (PSO), a fast optimization design method for 3D solid rocket motor (SSRM) was proposed, and the parametric modeling of a 3D solid rocket motor (SRM) was realized by using PCL, a secondary development tool of MSC.Patran. Without changing the volume loading fraction, PSO algorithm and genetic algorithm (GA) are used to complete the optimization design of the engine configuration. The results show that both of the two methods can meet the requirements of optimization design, but the computational time of PSO algorithm is 42 shorter than that of GA algorithm, and the proposed method can quickly realize the optimization design of solid rocket motor. Improve the structural integrity of complex three-dimensional solid rocket motor.
【作者單位】： 國防科技大學(xué)航天科學(xué)與工程學(xué)院;
【基金】：國家自然科學(xué)基金(11272348) 國防科技大學(xué)科研計劃資助項目(JC13-01-03)
【分類號】：V435.21

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相關(guān)期刊論文 前7條

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本文編號：2369727