September 10, 2025Izvestiya MGTU MAMIOpen Access

Experience of multi-objective optimization of axial compressor stage

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A multi-objective optimization approach was developed to enhance compressor geometry effectively.
The study utilized ANSYS CFX for mathematical modeling, validating six different compressor geometries.
Two turbulence models, low-Reynolds (SST) and high-Reynolds (k-ε), were assessed for optimization impact.
Python programming was employed for convenience in data processing of the optimization parameters.

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This research demonstrates multi-objective optimization of axial compressor stages using ANSYS CFX and IOSO algorithms.

Zolotukhin et al. (2025) studied this question.

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