Poster Details
Regenerating CAD Models with OpenCASCADE and pythonOCC from Numerical Models with Application to Shape Optimization (Poster)
In Session:
PL03: Poster Track & Poster Session
Wednesday, 11 Oct 2017; 14:30 - 15:30 in room 7.02
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1st and presenting Author
Altug Emiroglu
Chair of Structural Analysis
Technical University of Munich
München, Germany
Chair of Structural Analysis
Technical University of Munich
München, Germany
2nd Author
Andreas Apostolatos
Chair of Structural Analysis
Technical University of Munich
München, Germany
Chair of Structural Analysis
Technical University of Munich
München, Germany
3rd Author
Roland Wüchner
Chair of Structural Analysis
Technical University of Munich
München, Germany
Chair of Structural Analysis
Technical University of Munich
München, Germany
4th Author
Kai-Uwe Bletzinger
Chair of Structural Analysis
Technical University of Munich
München, Germany
Chair of Structural Analysis
Technical University of Munich
München, Germany
Micro Abstract:
Sensitivity filtering methods are unavoidable when numerical shape optimization is considered. A mortar based sensitivity filtering method which incorporates underlying CAD parametrization of the numerical models is proposed. The method is combined with a software environment which utilizes the capabilities of the opensource library OpenCASCADE and pythonOCC module respectively for the regeneration of the CAD models directly from the optimized numerical models as a result of the procedure.