Reynolds-Averaged Navier Stokes (RANS) simulations are rapidly emerging and tend to become an integral part of propeller design. Moreover, modern design software like CAESES are available that allow for parametric design and shape optimization by tightly coupling the parametric geometry to computational fluid dynamics (CFD). In the present work, OpenFOAM is selected as the CFD solver and cfMesh as the grid generator. The steady state Moving Reference Frame (MRF) approximation is used to model the rotation and the turbulence is modeled using the k-ω SST model. The CFD methodology is validated on the basis of experimental results for the Potsdam Propeller Test Case (PPTC). Furthermore, a parametric model for the PPTC is created, CFD automation is achieved and the optimized counterpart is derived by modifying the radial distributions that define the blade shape. The optimization is performed using the Sobol sequence and the Tangent Search Method.
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