Professorship for materials mechanics
Organisational unit: Section
Organisation profile
The professorship "materials mechanics“ focuses on the development of suitable models for different classes of materials based on the physical deformation mechanisms as well as on the modeling and simulation of local production processes. The development of these material models is crucial for the application of new materials, since these models are able to describe the deformation behavior in industrial production processes which allows for their optimization. In particular, local engineering in the context of production processes is of high technological relevance in adjusting local properties. For example, laser material processing and friction stir welding are relevant processes which are investigated. A targeted heat input into the material can be used to control and adjust the properties near the surface. As a result, improved properties, particularly in terms of damage tolerance can be achieved. The complexity of the interaction between the process parameters and material properties leads to high experimental effort, with sophisticated experimental techniques required to determine the influence of the process on the component. Therefore, reliable models are required to reduce the experimental effort. The developed material and process models are used to identify optimal process parameters that produce the desired properties inside the material and structure. The main objective of the professorship is to develop realistic and efficient numerical models which are formulated on basis of the underlying physical mechanisms. The identification of these mechanisms requires interdisciplinary collaborations with scientists from materials science, mechanics and production.The cooperation between the University of Lüneburg and the Helmholtz-Zentrum Geesthacht provides an ideal opportunity to accomplish the goals of this shared professorship.
Topics
modeling of microstructures
process modeling ans simulation of laser shock peening
process modeling and simulation of laser welding
modeling of metallic glasses
modeling of residual stresses
modeling of nano materials
development of homogenization approaches for heterogeneous materials
- Published
Friction Stir Welding of Various Aluminium Alloys to Titanium
Grassel, S. F., Bergmann, L. & Klusemann, B., 29.11.2023, In: Key Engineering Materials. 966, p. 49-54 6 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Friction surfacing of aluminum to steel: Influence of different substrate surface topographies
Roos, A., Metternich, F., Kallien, Z., Baumann, J., Ehrich, J., Kipp, M., Hanke, S., Biermann, D. & Klusemann, B., 01.11.2023, In: Materials and Design. 235, 12 p., 112390.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Fully periodic RVEs for technological relevant composites: Not worth the effort!
Schneider, K., Klusemann, B. & Bargmann, S., 07.2017, In: Journal of Mechanics of Materials and Structures. 12, 4, p. 471-484 14 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Fundamental study of multi-track friction surfacing deposits for dissimilar aluminum alloys with application to additive manufacturing
Soujon, M., Kallien, Z., Roos, A., Zeller-Plumhoff, B. & Klusemann, B., 01.07.2022, In: Materials and Design. 219, 15 p., 110786.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Fundamental study on additive manufacturing of aluminum alloys by friction surfacing layer deposition
Shen, J., Hanke, S., Roos, A., Santos, J. F. D. & Klusemann, B., 02.07.2019, In: AIP Conference Proceedings. 2113, 1, 6 p., 150015.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Generation of 3D representative volume elements for heterogeneous materials: A review
Bargmann, S., Klusemann, B., Schneider, K., Soyarslan, C., Markmann, J., Schnabel, J. E. & Wilmers, J., 01.07.2018, In: Progress in Materials Science. 96, p. 322-384 63 p.Research output: Journal contributions › Scientific review articles › Research
- Published
Global modelling of the ns-laser shock peening
Pozdnyakov, V., Keller, S., Klusemann, B., Kashaev, N. & Oberrath, J., 03.2019, DPG-Frühjahrstagung der Sektion Materie und Kosmos (SMuK) : mit den Fachverbänden (sektionszugehörig): Extraterrestrische Physik, Gravitation und Relativitätstheorie, Physik der Hadronenund Kerne, Theoretische und Mathematische Grundlagen der Physik sowie weiteren Fachverbänden: Geschichte der Physik, Kurzzeit- und angewandte Laserphysik, Plasmaphysik, Umweltphysik und den Arbeitskreisen bzw. der Arbeitsgruppe: Beschleunigerphysik, Chancengleichheit, Junge DPG, Philosophie der Physik. Bad Honnef: Deutsche Physikalische Gesellschaft, p. 151 1 p. K 6.1. (Verhandlung der Deutschen Physikalischen Gesellschaft, Reihe 6; vol. 54, no. 2).Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Research › peer-review
- Published
Grain Structure Evolution Ahead of the Die During Friction Extrusion of AA2024
Chan, C. Y. C., Suhuddin, U. F. H. R., Rath, L., Bachiega, F. L. & Klusemann, B., 2024, Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology of Plasticity - ICTP 2023 - Volume 3. Mocellin, K., Bouchard, P-O., Bigot, R. & Balan, T. (eds.). Cham: Springer Science and Business Media Deutschland GmbH, p. 422-428 7 p. (Lecture Notes in Mechanical Engineering).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Heterogenous activation of dynamic recrystallization and twinning during friction stir processing of a Cu-4Nb alloy
Escobar, J., Gwalani, B., Olszta, M., Silverstein, J., Ajantiwalay, T., Overman, N., Fu, W., Li, Y., Bergmann, L., Maawad, E., Klusemann, B., Santos, J. F. D. & Devaraj, A., 20.12.2022, In: Journal of Alloys and Compounds. 928, 9 p., 167007.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Hybrid modelling by machine learning corrections of analytical model predictions towards high-fidelity simulation solutions
Bock, F. E., Keller, S., Huber, N. & Klusemann, B., 10.04.2021, In: Materials. 14, 8, 19 p., 1883.Research output: Journal contributions › Journal articles › Research › peer-review