Optimization

 
Flowchart of a Numerical Optimization Copyright: © RWTH Aachen | IST Flowchart of a Numerical Optimization

Aerodynamic optimization methods for the design of turbo components are very attractive in today's competitive environment, as they can significantly shorten development cycle times by automating the design process. Until recently, developers relied on conventional design rules and especially on manual optimization. As the prediction accuracy of numerical flow analysis (CFD) has been greatly improved in recent decades and the required computing resources have become more affordable, simulation-based optimization is becoming increasingly important. This is due to the fact that optimization techniques allow direct control over the performance parameters of the components to be designed, even if the computational costs are at least one order of magnitude higher than the costs of an analysis calculation. Aerodynamic shape optimization enables the designer to automate the exploration of the design space under consideration of aeromechanical and aeroacoustic constraints in order to achieve a specific goal.

The stages of work performed in an optimization process can be summarized as follows: First, preparatory work is carried out, which includes setting up the geometry and defining the optimization goals and aerodynamic constraints. In addition, a suitable parameterization is selected, a numerical setup and the target function with the optimization parameters are defined. The latter spans the examined design space. Subsequently, a database is generated, which serves as initialization for the subsequent optimization cycle or training of the meta model. In addition to the flow simulations, other disciplines such as structural mechanics, acoustics and heat transfer can be integrated. However, if throughput times have to be limited, a downstream check can also be performed. Finally, supplementary simulations are performed for the best candidates in the database in order to be able to comprehensively evaluate the designs. Based on these results a final selection is finally made.

The institute has extensive experience in carrying out optimization work on rotating, stationary, axial and radial blade grills. For the optimizations, either the commercial tools

  • NUMECA Design3D,
  • ANSYS Workbench,
  • Engineous Isight

or also own developments are used.

Contact

Name

Philipp Schwarz

Phone

work
+49 241 80 95514

Email

E-Mail
 

The institute has extensive experience in carrying out optimization work on rotating, stationary, axial and radial blade grills. For the optimizations, either the commercial tools

  • NUMECA Design3D,
  • ANSYS Workbench,
  • Engineous Isight

or also own developments are used.

 

Relevant Publications

  1. Bisping, J., Rossbach, T., Grates, D. R., Jeschke, P., Hildebrandt, A. "Influence of Diffuser Diameter Ratio on the Performance of a Return Channel within a Centrifugal Compressor Stage." In Proceedings of GPPS Forum, Vol. 18, pp. 7-9. 2018,
  2. Hehn, A., Mosdzien, M., Grates, D. R., Jeschke, P. "Aerodynamic Optimization of a Transonic Centrifugal Compressor by Using Arbitrary Blade Surfaces." Proceedings of the ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. Volume 2C: Turbomachinery. Charlotte, North Carolina, USA. June 26–30, 2017,
  3. Poehler, T., Gier, J., Jeschke, P. "Numerical and Experimental Analysis of the Effects of Non-Axisymmetric Contoured Stator Endwalls in an Axial Turbine." Proceedings of the ASME Turbo Expo 2010: Power for Land, Sea, and Air. Volume 7: Turbomachinery, Parts A, B, and C. Glasgow, UK. June 14–18, 2010. pp. 1549-1559.