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Machine-learning-based optimization of labyrinth seal geometry considering both leakage and windage heating performance
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DOI：10.1016/j.csite.2026.108384.png)
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Abstract
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• Aero-thermal trade-offs in a rotating honeycomb labyrinth seal were clarified. • Seal geometry and rotation were shown to govern the coupled leakage and windage heating characteristics. • An optimized seal reduced leakage with a limited increase in windage heating. • Practical design guidelines for balancing sealing and thermal performance were identified.
Keywords:
Honeycomb
Labyrinth seal
Leakage
Machine learning
Optimization
Windage heating
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