Contact:
Prof. Dr.-Ing. Michael Schütze
Tel.: +49 69 / 7564-337
E-mail: schuetze

 

Publications
H. Echsler, D. Renusch, M. Schütze
Bond coat oxidation and its significanceexpectancy of thermal barrier coating systems
Materials Science and Technology 20 (2004) 307-317
H. Echsler, D. Renusch, M. Schütze
Mechanical behaviour of as sprayed and sintered air plasma sprayed partially stabilised zirconia
Materials Science and Technology 20 (2004) 869-876
H. Echsler, D. Renusch, M. Schütze
Kinetics of the evolution of physical defects in the TGO and its vicinity for life time predition of TBC systems
Conf. Proc. Turbomat-Symposium June 17-19 2002, DLR Köln Bonn, Germany, (2002) 152-156
DFI-Stifter

Continuing Professional Development

Quantitative Biology: Current Concepts and Tools for Microbial Strain and Process Development
Berlin 2013-07-15 - 2013-07-19

Life Time Prediction Model of ceramic Coated Turbine Blades layers


Poster (PDF)

Official ID: BEO-0327068E
Period: 01.07.1998 - 30.06.2002
Funder: Federal Ministry for Education and Research (BMBF)
Project Manager: Helmut Echsler

In order to raise efficiency and to reduce the CO2 emission of land based gas turbines or aero engines, service temperatures should be increased. Even very complex cooling techniques are not sufficient to reduce the surface temperature of the metallic parts of first stage blades and vanes to a tolerable temperature level. In order reduce the surface temperatures a ceramic thermal barrier coating (TBC) can be applied on top of the oxidation resistant bond coat (BC). The service life times of these TBC systems are strongly influenced by the oxidation processes going on at the interface between the bond coat and the ceramic top coat. To take full advantage of the potential of such TBC systems, which means a design integration of the ceramic top coat demands for a reliable life time prediction. However, such life time prediction models that can ensure inspection intervals in excess of for example 25000h in the case of land based gas turbines are not yet available and research activities of all potential users are focused on the improvement of these life time prediction models.


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