عنوان مقاله [English]
The intake is part of the aircraft, which provides air to the engine uniformly and with a minimum total pressure loss. Today, due to the abundant application of S-shaped inlet, optimization of these inlets has been considered by the researchers. The uniform distribution of the flow at the inlet of the compressor has a direct effect on engine performance. On the other hand, the separation of the flow through the duct reduces the pressure recovery and the engine thrust. In this article, an S-duct intake has been optimized to reduce the total pressure loss and flow distortion. The neural network, coupled with the genetic algorithm, is used to optimize the objectives in the shortest possible time. Two optimizations have been done. In the first case, new geometries have been generated by changing the center line coordinate and the cross-sectional area ratios. The first optimization results in an enhancement of 32.5% for pressure recovery coefficient and a reduction of 35.8% for flow distortion. In the second optimization, the length of the duct has also been decreased. By decreasing the length of the duct, the weight of the aerial vehicle is reduced, and on the other hand, the useful space inside the body is increased. This optimization gave an enhancement of 35.96% for pressure recovery coefficient and a reduction of 39.4% for flow distortion and a 25% reduction in the duct length.