TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Dresbach, Christian
A1  - Becker, Thomas
A1  - Reh, Stefan
A1  - Wischek, Janine
A1  - Zur, Sascha
A1  - Buske, Clemens
A1  - Schmidt, Thomas
A1  - Tiefers, Ruediger
T1  - A Stochastic Reliability Model for Application in a Multidisciplinary Optimization of a Low Pressure Turbine Blade Made of Titanium Aluminide
JF  - Latin American Journal of Solids and Structures
N2  - Currently, there are a lot of research activities dealing with gamma titanium aluminide (γ-TiAl) alloys as new materials for low pressure turbine (LPT) blades. Even though the scatter in mechanical properties of such intermetallic alloys is more distinctive as in conventional metallic alloys, stochastic investigations on γ -TiAl alloys are very rare. For this reason, we analyzed the scatter in static and dynamic mechanical properties of the cast alloy Ti-48Al-2Cr-2Nb. It was found that this alloy shows a size effect in strength which is less pronounced than the size effect of brittle materials. A weakest-link approach is enhanced for describing a scalable size effect under multiaxial stress states and implemented in a post processing tool for reliability analysis of real components. The presented approach is a first applicable reliability model for semi-brittle materials. The developed reliability tool was integrated into a multidisciplinary optimization of the geometry of a LPT blade. Some processes of the optimization were distributed in a wide area network, so that specialized tools for each discipline could be employed. The optimization results show that it is possible to increase the aerodynamic efficiency and the structural mechanics reliability at the same time, while ensuring the blade can be manufactured in an investment casting process.
KW  - Size effect
KW  - investment casting
KW  - weakest link
SN  - 1679-7825
SS  - 1679-7825
U6  - https://doi.org/10.1590/1679-78252521
DO  - https://doi.org/10.1590/1679-78252521
VL  - 13
IS  - 12
SP  - 2316
EP  - 2332
S1  - 17
PB  - Scielo
ER  -