首页|基于非线性加权法的航空发动机总体性能优化设计

基于非线性加权法的航空发动机总体性能优化设计

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为了解决发动机改型或性能优化时设计者主观性干扰、权重系数难以确定的问题,以燃气涡轮发动机为研究对象,将净推力FN、耗油率sfc和喷管最小截面积A8作为优化目标参数,采用敏感度分析法求解客观权重,并结合熵值法计算得到综合权重,基于非线性加权法开展总体性能优化的研究.结果表明:SFC、FN、A8的综合权重分别为0.5204、0.26125、0.21835,其中sfc所占的综合权重最大,说明对SFC进行优化能更充分地发挥发动机的性能,同时SFC优化起来相对容易,成本较小.发动机总体性能参数(SFC、FN、A8)的设计值分别还有5.32%、0.67%、3.25%的优化空间,说明在推力变化不大的前提下,可以按照大幅降低耗油率,并减小A8的思路来进行优化.优化结果既克服了以往设计者主观因素干扰的缺点,又满足了该发动机的当前部件设计水平和节省优化成本的要求,可为设计者在发动机方案设计阶段进行目标权衡处理提供有效依据.
Aeroengine Overall Performance Design Optimization Based on Nonlinear Weighting Method
To solve the problem of subjective interference of designers and difficulty in determining the weight coefficients during engine modification or performance optimization,a gas turbine engine was taken as the research object,the net thrust(FN),specific fuel consumption(SFC)and the minimum cross-sectional area of the nozzle(A8)were taken as the optimization target parameters,and the sensitivity analysis method was used to solve the objective weight,and the comprehensive weight was calculated by combining the Entropy Weight Method,and the overall performance optimization research was carried out based on the nonlinear weighting method.The results show that the comprehensive weights of SFC,FN,and A8 are 0.5204,0.26125,and 0.21835,respectively,of which SFC accounts for the largest comprehensive weight,indicating that the optimization of SFC can give full play to betterthe performance of the engine,and SFC optimization is relatively easier and less expensive.The design values of the overall engine performance parameters(SFC,FN,A8)have 5.32%,0.67%,and 3.25%optimization space respectively,indicating that under the premise of little change in thrust,it can be optimized according to the idea of greatly reducing fuel consumption and reducing A8.The optimization result not only overcomes the shortcomings of subjective factors interference of previous designers,but also meets the current component design level of the engine and the requirements of cost optimiza-tion,which can provide an effective basis for designers to make target trade-offs in the engine scheme design stage.

overall performance designaeroenginemulti-objective optimizationEntropy Weight Methodnonlinear weighting methodsensitivity analysis method

杨显赵、向鑫、薛燕、孙禄祥、明新迪

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西北工业大学 动力与能源学院,西安 710072

南昌航空大学 飞行器工程学院,南昌 330036

总体性能设计 航空发动机 多目标优化 熵值法 非线性加权法 敏感度分析法

2024

航空发动机
中国工业沈阳发动机设计研究所

航空发动机

CSTPCD北大核心
影响因子:0.586
ISSN:1672-3147
年,卷(期):2024.50(6)