A new MOX report entitled “Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models” by Stefania Fresca and Andrea Manzoni has appeared in the MOX Report Collection. The report can be donwloaded at the following link: https://www.mate.polimi.it/biblioteca/add/qmox/10-2022.pdf Abstract: Simulating fluid flows in different virtual scenarios is […]
A new MOX report entitled “Reduced order modeling of nonlinear microstructures through Proper Orthogonal Decomposition” by Giorgio Gobat, Andrea Opreni, Stefania Fresca, Andrea Manzoni and Attilio Frangi has appeared in the MOX Report Collection. The report can be donwloaded at the following link: https://www.mate.polimi.it/biblioteca/add/qmox/08-2022.pdf Abstract: We apply the Proper […]
A new project in collaboration with MOXOFF and Tetra Pak has analysed the potential application of reduced order modeling for the design of components of the filling and forming system. Fast and reliable simulation of the flow through the counter pressure flange in the filling system have been simulated using a reduction […]