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A Stochastic Reliability Model for Application in a Multidisciplinary Optimization of a Low Pressure Turbine Blade Made of Titanium Aluminide

Dresbach, Christian and Becker, Thomas and Reh, Stefan and Wischek, Janine and Zur, Sascha and Buske, Clemens and Schmidt, Thomas and Tiefers, Rüdiger (2016) A Stochastic Reliability Model for Application in a Multidisciplinary Optimization of a Low Pressure Turbine Blade Made of Titanium Aluminide. Latin American Journal of Solids and Structures (13), pp. 2316-2332. Brazilian Society of Mechanical Sciences and Engineering. ISSN 1679-7817

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Abstract

Currently, there are a lot of research activities dealing with gamma titanium aluminide (gamma-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 gamma-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

Item URL in elib:https://elib.dlr.de/105840/
Document Type:Article
Title:A Stochastic Reliability Model for Application in a Multidisciplinary Optimization of a Low Pressure Turbine Blade Made of Titanium Aluminide
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Dresbach, Christianchristian.dresbach (at) dlr.deUNSPECIFIED
Becker, Thomast.becker (at) dlr.deUNSPECIFIED
Reh, Stefanstefan.reh (at) dlr.deUNSPECIFIED
Wischek, Janinejanine.wischek (at) dlr.deUNSPECIFIED
Zur, Saschasascha.zur (at) dlr.deUNSPECIFIED
Buske, ClemensDLR AT-TURUNSPECIFIED
Schmidt, Thomasthomas.schmidt (at) dlr.deUNSPECIFIED
Tiefers, RüdigerACCESS e.V., AachenUNSPECIFIED
Date:2016
Journal or Publication Title:Latin American Journal of Solids and Structures
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Page Range:pp. 2316-2332
Publisher:Brazilian Society of Mechanical Sciences and Engineering
ISSN:1679-7817
Status:Published
Keywords:Size effect, weakest link, investment casting
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:propulsion systems
DLR - Research area:Aeronautics
DLR - Program:L ER - Engine Research
DLR - Research theme (Project):L - Turbine Technologies
Location: Göttingen , Köln-Porz , Stuttgart
Institutes and Institutions:Institute of Materials Research > Metallic Structures and Hybrid Material Systems
Institute of Propulsion Technology > Turbine
Institute of Structures and Design > Design and Manufacture Technologies
Institut of Simulation and Software Technology > Distributed Systems and Component Software
Deposited By: Dresbach, Dr. Christian
Deposited On:04 Oct 2016 11:04
Last Modified:08 Mar 2018 18:39

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