Hochleistungslegierungen
Der Begriff Hochleistungslegierungen umfasst eine Vielzahl von Materialsystemen. Üblicherweise wird er für Legierungen verwendet, die extremen Bedingungen trotzen, wie zum Beispiel hohen Temperaturen oder korrosiven Atomsphären, eine außergewöhnliche Kombination von Festigkeit und Duktilität aufweisen, oder andere einzigartige Eigenschaften besitzen, wie zum Beispiel den sogenannten Formgedächtniseffekt. Das Ziel der Gruppe für Hochleistungslegierungen ist es bestehende Materialien zu optimieren und neue Legierungen durch eine systematische Untersuchung der relevanten multidimensionalen Legierungsräume zu entdecken.
Christopher Zenk, Dr.-Ing.
Benjamin Wahlmann, M.Sc.
Tobias Gaag, M.Sc.
Florian Galgon, M.Sc.
Luis Morales, M.Sc.
Ning Luo, M.Sc.
Nick Semjatov, M.Sc.
Beiträge in Fachzeitschriften
- , , , , , , , :
Preparation of Fe-Co-B-Si-Nb bulk metallic glasses by laser powder bed fusion: Microstructure and properties
In: Materials Characterization 162 (2020), Art.Nr.: 110206
ISSN: 1044-5803
DOI: 10.1016/j.matchar.2020.110206 - , , , , , :
Additively manufactured Raney-type Copper catalyst for methanol synthesis
In: Catalysis: Science and Technology 10 (2020), S. 164-168
ISSN: 2044-4753
DOI: 10.1039/C9CY01657K - , , , , , , :
Growth and coarsening kinetics of gamma prime precipitates in CMSX-4 under simulated additive manufacturing conditions
In: Acta Materialia (2019)
ISSN: 1359-6454
DOI: 10.1016/j.actamat.2019.08.049 - , , , , , , :
MultOpt++: a fast regression-based model for the constraint violation fraction due to composition uncertainties
In: Modelling and Simulation in Materials Science and Engineering 27 (2019)
ISSN: 0965-0393
DOI: 10.1088/1361-651X/aaf01e - , , , , , , , :
MultOpt++: a fast regression-based model for the development of compositions with high robustness against scatter of element concentrations
In: Modelling and Simulation in Materials Science and Engineering 27 (2019)
ISSN: 0965-0393
DOI: 10.1088/1361-651X/aaf0b8
Abschlussarbeiten
A new numerical tool will be explored that supports the experimental alloy developer in defining new compositions with potential for high strength. Starting with a composition space that is defined by the developer based on his metallurgical experience and his design goals, the numerical tool will propose the most promising compositions. The research program will on the one hand address open questions regarding the mathematical optimization in this application and on the other hand new models for predicting the relevant material properties.
It is worked on novel hierarchical FeAl-based precipitate-strengthened alloys for high-temperature structural applications. Some of them show very unique hierarchical microstructure with L21 precipitates within B2 precipitates within a bcc matrix. This exciting group of materials resembles a promising low-cost alternative to Ni-superalloys and Ti-based alloys under specific conditions. A potential application for these alloys ultra-supercritical power plants with service temperatures…
In this project two different but equally exciting material systems are being investigated:
Development of high temperature Cu-Al-Ni-X shape memory alloys (SMAs)
Compared to commercially available Ni-Ti SMAs, Cu-Al-Ni-X SMAs possess a slightly higher transformation temperature above 100 °C and exhibit a lower production cost. However, poor mechanical properties caused by their typically coarse grain size and anisotropy severely limit their worldwide application. Therefore, …