Events
A fast model for the optimal composition sensitivity based on regression analysis of superalloy properties calculated with CALPHAD approach
Date: 31.03.2017Place: Modelling and Simulation of Superalloys 2017, Ruhr-Universität, Bochum, Germany
Alexander Müller, Chair of Materials Science and Engineering for Metals, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
Irina Roslyakova
M. Sprenger, Friedrich-Alexander Universität Erlangen-Nürnberg
Matthias Markl, Chair of Materials Science and Engineering for Metals, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
Carolin Koerner, Department of Materials Science and Engineering, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
Robert Singer, Chair of Materials Science and Engineering for Metals, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
The scattering of element concentration during the manufacturing process causes the properties deviations of optimal alloy. Alloy-by-design usually based on MOOP (= Multi Objective Optimization Problem), so the result of such optimization is the pareto-front with a set of optimal compositions. The sensitivity of such pareto-points is depend on optimization problem and should be taken into account. The most known models for sensitivity require a high computation effort. So we derive a fast model for the moop-sensitivity, based on regression analysis of mean variation of given properties.
