Optimal design and performance prediction of stepped honeycomb labyrinth seal using CFD and ANN
A stepped honeycomb labyrinth seal was optimized, and its leakage performance was predicted across various operating conditions using computational fluid dynamics (CFD) and artificial neural networks (ANNs). The process involved two stages: geometry optimization and performance prediction. In the fi...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Engineering Science and Technology, an International Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098624003252 |
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