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A Rapid Method for Modeling a Variable Cycle Engine

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Machine learning for optimal flow control in an axial compressor.

M A Elhawary¹, Francesco Romanò¹, Jean-Christophe Loiseau²

¹Univ. Lille, CNRS, ONERA, Arts et Métiers Institute of Technology, Centrale Lille, UMR 9014, LMFL - Laboratoire de Mécanique des Fluides de Lille - Kampé de Fériet, 59000, Lille, France.

The European Physical Journal. E, Soft Matter

|April 12, 2023

Summary

This summary is machine-generated.

This study optimizes air jet parameters for active flow control in axial compressors to prevent stall. Machine learning and genetic algorithms identified optimal injection angles and velocities for improved surge margin and power balance.

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Area of Science:

Aerospace Engineering
Fluid Dynamics
Computational Fluid Dynamics

Background:

Rotating stall in axial compressors reduces efficiency and can cause damage.
Active flow control using air jets is a promising method to mitigate stall.

Purpose of the Study:

To determine optimal air jet parameters for controlling rotating stall in the CME2 axial compressor.
To investigate the trade-offs between surge margin improvement and power balance.

Main Methods:

Utilized machine learning (shallow neural networks) to model the effects of air jet parameters.
Employed a genetic algorithm for optimizing injection angle, number of injector pairs, and injection velocity.
Performed both single-objective and bi-objective optimization for different rotational velocities.

Main Results:

Identified optimal velocity ratios between 1.1 and 1.6 and specific injection angles.
Demonstrated a trade-off between maximizing surge margin improvement and maintaining power balance.
The optimized control strategy showed potential for generalization to other compressor designs.

Conclusions:

The combined use of machine learning and genetic algorithms effectively optimizes air jet parameters for stall control.
A specific range of velocity ratios and injection angles is crucial for effective stall mitigation.
The findings suggest a broadly applicable active flow control strategy for axial compressors.