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What is Axial Compressor Blade Optimization about?

This document describes a study that uses multi-objective genetic algorithm optimization to improve the shape of an axial compressor blade. The objectives are to maximize total pressure and adiabatic efficiency. Reynolds-averaged Navier-Stokes equations are solved to evaluate the objective functions and blade flow field. Design variables include blade lean and thickness defined by Bezier polynomials. The optimization increases maximum efficiency by 1.76% and total pressure by 0.41% compared to initial desig

Author

Umair Munir

Language

EN