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CFD Analysis and Optimization of a Novel Left Ventricular Assist Device (LVAD)

CFD Analysis and Optimization of a Novel Left Ventricular Assist Device (LVAD)

The present case study looks at a Left Ventricular Assist Device (LVAD) based on an axial flow pump. CAESES was used as the central hub in the automation workflow. In addition to CAD generation, it was also used as the process integration and design optimization (PIDO) platform. CAESES was coupled to the Ansys Workbench in which the 3D meshing and CFD simulations took place, utilizing the CFX solver.

Geometry to Parameter Mapping Based on Neural Networks

Geometry to Parameter Mapping Based on Neural Networks

In the process of geometry-based optimization, the problem of having to model a resulting geometry without knowing the exact values of characteristic parameters can arise. In order to open and further edit the optimized geometry inside the CAESES environment, the parameter set belonging to the new shape needs to be determined. The use of neural networks offers a great opportunity to solve this kind of problem since they are a powerful tool for constructing a predictive model based on data.

Designing Wind Assisted Commercial Cargo Vessels

Designing Wind Assisted Commercial Cargo Vessels

Within the framework of the project “Transitioning to Low Carbon Sea Transport” (TLCSeaT), focusing on the new-build of a sail assisted general cargo and island supply vessel for the Republic of Marshall Islands (RMI), CAESES has been used to create a parametric design and calculation environment that can be used for the evaluation of different design options during the vessel’s concept and early design phases.