Iranian Journal of Mechanical Engineering Transactions of the ISME

Iranian Journal of Mechanical Engineering Transactions of the ISME

Geometry Improvement of an Asymmetric S-shaped Intake with a Combination of Artificial Neural Networks and Genetic Algorithm

Document Type : Research Paper

Authors
1 MSc. Air Research Center, Air Industry Org, Tehran, Iran
2 Associate Professor, Faculty of Aerospace, Malek Ashtar University of Technology, Iran
Abstract
The air intake duct provides the required air for the engine under various aircraft operating conditions. Therefore, designing an intake duct with minimum total pressure loss and maximum flow uniformity is of great importance. Non-uniform flow entering the engine leads to performance degradation and, in severe cases, can even cause surge and engine failure. In the present research, an asymmetric S-shaped air intake duct is optimized to reduce total pressure loss and flow distortion at the exit plane. The optimization process uses a genetic algorithm and an artificial neural network. It includes geometry modeling, mesh generation, three-dimensional simulations, database preparation, neural network training, and genetic algorithm optimization. The genetic algorithm uses the neural network to evaluate the objective function and identify the optimal geometry. A comparison of the optimized results with the baseline geometry shows a reduction of over 74% in flow distortion and over 16% in total pressure loss.
Keywords
Subjects

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