MultOpt++: a fast regression-based model for the development of compositions with high robustness against scatter of element concentrations

Beitrag in einer Fachzeitschrift


Details zur Publikation

Autorinnen und Autoren: Müller A, Roslyakova I, Sprenger M, Git P, Rettig R, Markl M, Körner C, Singer R
Zeitschrift: Modelling and Simulation in Materials Science and Engineering
Verlag: IOP PUBLISHING LTD
Jahr der Veröffentlichung: 2019
Band: 27
Heftnummer: 2
ISSN: 0965-0393
Sprache: Englisch


Abstract

Alloys-by-design is a term used to describe new alloy development techniques based on numerical simulation. These approaches are extensively used for nickel-base superalloys to increase the chance of success in alloy development. During alloy production of numerically optimized compositions, unavoidable scattering of the element concentrations occurs. In the present paper, we investigate the effect of this scatter on the alloy properties. In particular, we describe routes to identify alloy compositions by numerical simulations that are more robust than other compositions. In our previously developed alloy development program package MultOpt, we introduced a sensitivity parameter that represents the influence of alloying variations on the final alloy properties in the post-optimization process, because the established sensitivity calculations require high computational effort. In this work, we derive a regression-based model for calculating the sensitivity that only requires one-time calculation of the regression coefficients. The model can be applied to any function with nearly linear behavior within the uncertainty range. The model is then successfully applied to the computational alloys-by-design work flow to facilitate alloy selection using the sensitivity of a composition owing to the inaccuracies in the manufacturing process as an additional minimization goal.


FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Git, Paul
Lehrstuhl für Werkstoffwissenschaften (Werkstoffkunde und Technologie der Metalle)
Körner, Carolin Prof. Dr.-Ing.
Lehrstuhl für Werkstoffwissenschaften (Werkstoffkunde und Technologie der Metalle)
Markl, Matthias Dr.-Ing.
Lehrstuhl für Werkstoffwissenschaften (Werkstoffkunde und Technologie der Metalle)
Müller, Alexander
Technische Fakultät
Rettig, Ralf
Lehrstuhl für Werkstoffwissenschaften (Werkstoffkunde und Technologie der Metalle)
Singer, Robert Prof. Dr.-Ing.
Technische Fakultät
Sprenger, Mario
Lehrstuhl für Werkstoffwissenschaften (Werkstoffkunde und Technologie der Metalle)


Einrichtungen weiterer Autorinnen und Autoren

Ruhr-Universität Bochum (RUB)


Forschungsbereiche

Hochtemperaturwerkstoffe
Lehrstuhl für Werkstoffwissenschaften (Werkstoffkunde und Technologie der Metalle)
Numerische Simulation
Lehrstuhl für Werkstoffwissenschaften (Werkstoffkunde und Technologie der Metalle)


Zitierweisen

APA:
Müller, A., Roslyakova, I., Sprenger, M., Git, P., Rettig, R., Markl, M.,... Singer, R. (2019). MultOpt++: a fast regression-based model for the development of compositions with high robustness against scatter of element concentrations. Modelling and Simulation in Materials Science and Engineering, 27(2). https://dx.doi.org/10.1088/1361-651X/aaf0b8

MLA:
Müller, Alexander, et al. "MultOpt++: a fast regression-based model for the development of compositions with high robustness against scatter of element concentrations." Modelling and Simulation in Materials Science and Engineering 27.2 (2019).

BibTeX: 

Zuletzt aktualisiert 2019-15-02 um 15:23