Regression transients modeling of solid rocket motor burning surfaces with physics-guided neural network
Monitoring the burning surface regression in ground static ignition tests is crucial for predicting the internal ballistic performance of solid rocket motors (SRMs). A previously proposed ultra-sparse computed tomography imaging method provides a possibility for real-time monitoring. However, sample...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
IOP Publishing
2024-01-01
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| Series: | Machine Learning: Science and Technology |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1088/2632-2153/ad2973 |
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