The ADVANCE project consists of an extensive and ambitious experimental program to generate detailed and accurate phase equilibrium data for a series of homogenous Ti-Al-X alloys of high purity, aiming to resolve existing experimental controversies and to determine missing data points of relevance, and ultimately support modelling activities consisting of assessing and re-optimising individual subsystems and the development of cutting-edge CALPHAD databases for TiAl alloys.
The consortium consists of four partners from three countries: Thermo-Calc Software AB (TCSAB), Sweden (Coordinator); Max-Planck-Institut für Eisenforschung GmbH (MPIE), Germany; Helmholtz-Zentrum Geesthacht Zentrum für Material- und Küstenforschung GmbH (HZG), Germany; and Montanuniversität Leoben (MUL), Austria. In addition, MTU Aero Engines AG, Germany, is the Topic Manager. Learn more about the partners.
Representatives of the consortium, left to right: Hai-Lin Chen (TCSAB), Roman Sowa MTU), Annett Seide (MTU), Svea Mayer (MUL), Martin Schloffer (MTU), Martin Palm (MPIE), Anders Engström (TCSAB), Florian Pyczak (HZG), Marcus Rackel (HZG), Roland Schmier (MTU). Missing from the photo: Frank Stein (MPIE), Yang Yang (TCSAB).
ADVANCE is funded by the European Union’s Horizon 2020 research and innovation programme and is part of the Clean Sky 2 joint undertaking. The Clean Sky 2 goals are to reduce aircraft noise and CO2 and NOx emissions, which is a vital part of several initiatives that have a focus on fostering new technologies to make tomorrow’s aircraft greener and more efficient.
At the completion of this project, the next generation of advanced CALPHAD databases (one thermodynamic and a compatible kinetic database for atomic mobility) for TiAl alloys will be available. Use of these databases in combination with the appropriate simulation software will contribute to the ability to decrease costs and development time for TiAl alloy design, which ultimately contributes to the Clean Sky 2 environmental mandate of ‘’Smart, Green, Integrated Transport’’.
This project has received funding From the European Union’s Horizon 2020 research and innovation Programme under grant agreement No 820647.