Abstract
Designing complex and challenging machines demands the use of sophisticated methods such as multi-objective optimization. In this paper the aerodynamic design process of a jet engine compressor is used to demonstrate how process automation and optimization may support engineers to find better designs. The design process is divided into four sub-processes starting with a correlation-based 1D meanline code and ending with a 3D CFD analysis. These sub-processes of different fidelity are automated and coupled to enable a cascaded, sequential optimization. This approach allows to start with few basic assumptions and ends with a complete 3D geometry and flow field of an axial jet engine compressor.
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Acknowledgments
The presented work has been performed within the VIT 3 project (Virtual Turbomachinery) in collaboration with Rolls-Royce Deutschland. The project is partly funded by the Federal State of Brandenburg, Germany and the European Community.
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Poehlmann, F., Bestle, D., Flassig, P., Hinz, M. (2015). Modular Automated Aerodynamic Compressor Design Process. In: Greiner, D., Galván, B., Périaux, J., Gauger, N., Giannakoglou, K., Winter, G. (eds) Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences, vol 36. Springer, Cham. https://doi.org/10.1007/978-3-319-11541-2_17
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DOI: https://doi.org/10.1007/978-3-319-11541-2_17
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