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 Used Pant motors (SRMs).A previously proposed ultra-sparse computed tomography imaging method provides a possibility for real-time monitoring.However, sample shortages of SRMs highlights the need for