MULTIOBJECTIVE OPTIMIZATION OF A MULTI-STAGE COMPRESSOR USING EVOLUTIONARY ALGORITHM

A multiobjective design optimization tool for multistage compressors has been developed. Multiobjective Evolutionary Algorithm is used to handle multiobjective design optimization problems. Performances of compressors are evaluated by using the axisymmetric through-flow code UD0300M that employs the streamline curvature method. To demonstrate feasibility of the present method, a multiobjective optimization of a four-stage compressor design was performed for maximization of the overall isentropic efficiency and the total pressure ratio. Total pressure and solidities at the rotor trailing edges, and flow angles and solidities at the stator trailing edges are considered as design parameters. The present method obtained hundreds of reasonable and uniformly distributed Pareto-optimal solutions that outperformed the baseline design in both objectives. Detailed observation of the Pareto-optimal designs revealed some design criteria for multi-stage compressor designs.

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