论文标题
氢涡轮豆发动机的能量外观分析和最佳设计
Energy-Exergy Analysis and Optimal Design of a Hydrogen Turbofan Engine
论文作者
论文摘要
在这项研究中，入口空气冷却和燃料类型对推力特异性燃料消耗（TSFC）的性能参数，热和发射效率，熵产生速率以及氮氧化物发射强度指数（SNOX）的GENX 1B70发动机的两种状态和设计的两种状态分析。 The results show that with a 20-degree delicious reduction in inlet air temperature on design conditions and JP10 fuel usage, the thermal efficiency and entropy generation rate, thrust and fuel mass flow rate, and TSFC of the engine increase by 1.85 percent, 16.51 percent, 11.76 percent, 10.53 percent, and 2.15 percent and SNOx and exergetic efficiency decrease by 2.11 percent and 26.60 percent, respectively.同样，基于遗传算法，对GenX 1B70发动机周期作为具有三个独立的目标功能的氢燃料使用的优化：推力最大化，最大化最大化和推进效率最大化。基于经济方法和Exero-Envrimental，使用TOPSIS算法选择了最佳状态的最佳周期。 In on design conditions, entropy generation rate, nitrogen oxide production rate, and TSFC for the chosen cycle based on the economic approach +18.89 percent, +10.01 percent, and -0.21percent, respectively, and based on the exero-environmental approach -54.03percent, -42.02percent, and +21.44percent change compared to the base engine, respectively.
In this study, the effect of inlet air cooling and fuel type on the performance parameters of thrust-specific fuel consumption (TSFC), thermal and exergetic efficiencies, entropy generation rate, and Nitrogen oxide emission intensity index (SNOx) of the GENX 1B70 engine is analyzed in two states of take-off and on design. The results show that with a 20-degree delicious reduction in inlet air temperature on design conditions and JP10 fuel usage, the thermal efficiency and entropy generation rate, thrust and fuel mass flow rate, and TSFC of the engine increase by 1.85 percent, 16.51 percent, 11.76 percent, 10.53 percent, and 2.15 percent and SNOx and exergetic efficiency decrease by 2.11 percent and 26.60 percent, respectively. Also, optimization of the GENX 1B70 engine cycle as hydrogen fuel usage with three separate objective functions: thrust maximization, thermal efficiency maximization, and propulsive efficiency maximization on design point condition was performed based on the Genetic algorithm. Based on the economic approach and exero-environmental, the best cycles from the optimal states were selected using the TOPSIS algorithm. In on design conditions, entropy generation rate, nitrogen oxide production rate, and TSFC for the chosen cycle based on the economic approach +18.89 percent, +10.01 percent, and -0.21percent, respectively, and based on the exero-environmental approach -54.03percent, -42.02percent, and +21.44percent change compared to the base engine, respectively.
