Effects of Ambient Temperature on the Performance of Turbofan Transonic Compressor by CFD Analysis and Artificial Neural Networks

摘要: The unfavorable effects of non-uniform temperature inlet flow on gas turbine engine operations have always been a hindrance the performance turbo-fan engines. propulsive efficiency is function overall turbofan which itself dependent other ambient parameters. Variation compressor due to increase or decrease aircraft altitude, air density, relative humidity, and geographical climate conditions affects performance. This research focuses transonic distortion. A novel predictive approach based neural network model has implemented predict behavior at different conditions. produces substantially accurate results when compared CFD analysis. Computational from analysis show that thrust decreases higher lower density pressure regions.