Estimation of 2D pressure and cavitation fields from sparse pseudo-pressure sensor point data using super-resolution machine learning
The two-dimensional pressure field around a hydrofoil is estimated from the pressure values of sparse sensors flush-mounted on the hydrofoil.The sparse data is expanded to pressure field data using a combination of multi-layer perceptron (MLP) and super-resolution convolutional neural network (SRCNN) techniques, where MLP is employed to temporarily