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Optimization of System Parameters for Liquid Rocket Engines with Gas-Generator Cycles

机译:具有气体发生器循环的液体火箭发动机系统参数的优化

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System design of liquid rocket engines must consider engine performance, weight, cost, and reliabilitynrequirements. A general design optimization framework has been developed in this paper to select the best systemnparameters for liquid rocket engines with gas-generator cycles. The object is to maximize the specific impulse andnvacuum thrust-to-weight ratio of the engine with given system requirements and design assumptions by changingnthrust-chamber pressure andmixture ratio.The systemanalysis, alongwith the engineweight estimation, is based onna modular scheme. Multidisciplinary design optimization formulations including multidisciplinary feasible andncollaborative optimization are used, evaluated, and compared during the optimization process. Several techniques ofnmulti-objective processing are also used to identify the Pareto frontier and the optimal compromise solutions. Anproposed cryogenic-propellant engine using liquid oxygen and hydrogen with a gas-generator cycle is studied as anspecific example. Moreover, uncertainties in the engine operation, such as thrust-chamber pressure and mixturenratio, are taken into account as random variables in the reliability-based optimization. Results are presented tonillustrate the tradeoff between the engine performance and reliability requirements.
机译:液体火箭发动机的系统设计必须考虑发动机性能,重量,成本和可靠性要求。本文开发了一个通用的设计优化框架,以选择具有燃气发电机循环的液体火箭发动机的最佳系统参数。目的是在给定的系统要求和设计假设下,通过改变推力室压力和混合比来最大程度地提高发动机的特定冲力和真空推力重量比。系统分析以及发动机重量估计均基于模块化方案。在优化过程中,使用,评估和比较了包括多学科可行和协作优化在内的多学科设计优化公式。多目标处理的几种技术也用于识别帕累托边界和最优折衷解决方案。作为一个具体示例,研究了一种使用液态氧和氢气并带有气体发生器循环的低温推进剂发动机。此外,在基于可靠性的优化中,发动机运行中的不确定性(例如推力室压力和混合比)被视为随机变量。给出结果以说明发动机性能和可靠性要求之间的权衡。

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  • 来源
    《Journal of Propulsion and Power 》 |2010年第1期| p.113-119| 共7页
  • 作者单位

    Guobiao Cai,∗ Jie Fang,†Yuntao Zheng,‡and Xiaoyan Tong§Beijing University of Aeronautics and Astronautics, 100191 Beijing, People’s Republic of ChinaandJun Chen¶and Jue Wang∗∗Beijing Aerospace Propulsion Institute, 100076 Beijing, People’s Republic of China;

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