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

Autor: Jun Chen, Jue Wang, Xiao-yan Tong, Yun-tao Zheng, Guobiao Cai, Jie Fang
Rok vydání: 2010
Předmět:
Zdroj: Journal of Propulsion and Power. 26:113-119
ISSN: 1533-3876
0748-4658
DOI: 10.2514/1.40649
Popis: System design of liquid rocket engines must consider engine performance, weight, cost, and reliability requirements. A general design optimization framework has been developed in this paper to select the best system parameters for liquid rocket engines with gas-generator cycles. The object is to maximize the specific impulse and vacuum thrust-to-weight ratio of the engine with given system requirements and design assumptions by changing thrust-chamber pressure and mixture ratio. The system analysis, along with the engine weight estimation, is based on a modular scheme. Multidisciplinary design optimization formulations including multidisciplinary feasible and collaborative optimization are used, evaluated, and compared during the optimization process. Several techniques of multi-objective processing are also used to identify the Pareto frontier and the optimal compromise solutions. A proposed cryogenic-propellant engine using liquid oxygen and hydrogen with a gas-generator cycle is studied as a specific example. Moreover, uncertainties in the engine operation, such as thrust-chamber pressure and mixture ratio, are taken into account as random variables in the reliability-based optimization. Results are presented to illustrate the tradeoff between the engine performance and reliability requirements.
Databáze: OpenAIRE