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This is a Quantitative Study study.

September 16, 2025Journal of Turbomachinery

Examining the Potential of High-Order SRS to Support RANS-Based Compressor Airfoil Optimization

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Integrating SRS with RANS reduces design-point loss in airfoils, enhancing performance and operating range.
A comparison using LES shows that relying solely on RANS leads to suboptimal designs due to misunderstood flow characteristics.
The study demonstrates that even limited insights from SRS can significantly improve optimization results for low Reynolds number airfoils.
These findings highlight the need for incorporating advanced simulation techniques in the design process of turbomachinery.

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Implication

Analysis shows that integrating SRS with RANS improves compressor airfoil optimization outcomes, suggesting enhanced performance in turbomachinery designs.

Cite This Study

Goinis et al. (2025) studied this question.

synapsesocial.com/papers/68d453a431b076d99fa59a17 https://doi.org/10.1115/1.4069802

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Implication

Analysis shows that integrating SRS with RANS improves compressor airfoil optimization outcomes, suggesting enhanced performance in turbomachinery designs.

Examining the Potential of High-Order SRS to Support RANS-Based Compressor Airfoil Optimization

Key Points

Discussion

Implication

Cite This Study

Examining the Potential of High-Order SRS to Support RANS-Based Compressor Airfoil Optimization

Key Points

Discussion

Implication

Cite This Study

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