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Keywords: neural networks (NNs)
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Proceedings Papers

A Design Study of an Elasto-Hydrodynamic Seal for sCO 2 Power Cycle by Using Physics Informed Neural Network

Mohammad Towhidul Islam Rimon, Mohammad Fuad Hassan, Karthik Reddy Lyathakula, Sevki Cesmeci, Hanping Xu, Jing Tang
Proc. ASME. POWER2023, ASME Power Applied R&D 2023, V001T04A005, August 6–8, 2023
Publisher: American Society of Mechanical Engineers
Paper No: POWER2023-108802
https://doi.org/10.1115/POWER2023-108802
... analysis can be used to design EHD seals for specific cases when more comprehensive simulation models are not readily available or are deemed to be costly. supercritical CO 2 elasto-hydrodynamic (EHD) machine learning neural networks (NNs) Proceedings of the ASME Power Applied R&D 2023...
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Topics: Artificial neural networks, Design, Physics, Supercritical carbon dioxide, Thermodynamic power cycles