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...
Guardat en:
| Autors principals: | , , , , , , |
|---|---|
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IOP Publishing
2024-01-01
|
| Col·lecció: | Machine Learning: Science and Technology |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1088/2632-2153/ad2973 |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|