Probabilistische Untersuchung und Detailoptimierung von Rotoren für Turbomaschinen
I. Reuter, T. Weiss, M. Voigt, K. Vogeler, H. Schlums, K.-H. Becker, A. Fischersworring-Bunk
On the components of turbomachinery high requirements are imposed concerning the reliability and efficiency. To achieve a realistic design process of such complex engines the application of probabilistic methods is suitable. Thereby the uncertain character of observed systems can be detected at its best during the design process and also considered in the final design. Based on the interdisciplinary character and the increased calculation time of such a design philosophy, it was the objective of project AG Turbo 2020 1.3.3 (funding code: 0327719E) to increase the efficiency and applicability of such probabilistic design methods. Newly developed and at the professorship existing methods are applied by a structural-mechanical probabilistic investigation of rotor discs. By the exchange of information and data with the industrial partner projects AG Turbo 2020 1.3.4 (funding code: 0327718K) and 1.3.5 (funding code: 0327718L), a full automated and industrially relevant process chain of the geometry variation up to the life time prediction was created. The project focus was a universal methodology for evaluating the probabilistic results. A method has been developed which allows access to the statistical evaluation particular for geometry variation. Furthermore, a process chain for the simultaneous consideration of geometric design borders and manufacturing tolerances has been generated. The developed methods and deterministic models lead to a probabilistic assessment of the rotor discs with respect to their sensitivities and a stochastic system improvement.
I. Reuter, T. Weiss, M. Voigt, K. Vogeler, H. Schlums, K.-H. Becker, A. Fischersworring-Bunk:
"Probabilistische Untersuchung und Detailoptimierung von Rotoren für Turbomaschinen",
Tagungsband zum 14. Statusseminar der AG Turbo, DLR Köln-Porz, 2014.