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...
Kaydedildi:
| Asıl Yazarlar: | , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
IOP Publishing
2024-01-01
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| Seri Bilgileri: | Machine Learning: Science and Technology |
| Konular: | |
| Online Erişim: | https://doi.org/10.1088/2632-2153/ad2973 |
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