August 17, 2025

Uncertainty Quantification Analysis of Turbine Parameters Based on Conjugate Heat Transfer Calculation

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Improved cooling performance enhances turbine reliability in aero engines, addressing performance dispersion and lifespan.
The study identifies key turbine parameters through uncertainty quantification, optimizing aerothermal performance even under harsh conditions.
Assessment integrates advanced modeling techniques, including CFD and machine learning, utilizing an automated design platform for efficiency.
Findings indicate that uncertainty analysis plays a critical role in optimizing turbine structure and operational stability.

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This analysis evaluates turbine parameters' impact on heat transfer in aero engines, suggesting improvements for cooling performance.

Chen et al. (2025) studied this question.

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