Optimized Bayesian Framework for Inverse Heat Transfer Problems Using Reduced Order Methods

Our research contributes to achieving real-time probabilistic boundary condition estimation in heat transfer problems using an Ensemble-based Simultaneous Input and State Filtering approach with Radial Basis Functions. The method efficiently handles noisy measurements and errors, crucial for continuous casting machinery operation.