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Industrial Optimal Design using Adjoint CFD

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Research Fellows

Ilias Vasilopoulos

Early Stage Researcher 11 at Rolls-Royce Deutschland

 

An automated CAD-based aerodynamic optimization workflow was developed by integrating the necessary RRD in-house tools. Adjoint surface sensitivities were again coupled with geometric sensitivities (computed using FD) to assemble the CAD-based gradient which drives the optimization. The developed process was demonstrated on the TU Berlin TurboLab Stator test case, where two objective functions and three operating points were considered. The Stator geometry was parameterized using Parablading, a RRD in-house aerofoil design software. The 3D shape of the blade is described on the basis of radially stacked 2D sections, which are generated by the superposition of a camber-line angle and a thickness distribution. Moreover, manufacturing constraints (such as minimum thickness requirements) were included in the process chain and were mainly treated as bounds to the corresponding design parameters. The optimization workflow is summarized in the following figure and more details can be found in the report of deliverable 28 D6.2.

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