Professorship for materials mechanics

Organisational unit: Professoship

Organisation profile

The professorship for materials mechanics with a focus on process simulation is a shared professorship carried out in cooperation with the Helmholtz-Zentrum hereon GmbH. In particular, this is concerned with the digital modelling of technological production processes and materials, whereby considerable focus is placed on local modification processes, solid state joining processes and forming processes. The modelling approaches which are used for these range from micromechanics (e.g. crystal plasticity and phase field simulations), to continuum mechanics for describing material behaviour, to approaches for complex process simulations.

Main research areas

At the same time, one of the main focuses of the activities carried out by the professorship at the Leuphana is the development and application of mathematical models (material models) for describing microstructure development and the deformation behaviour of various metallic materials across multiple length scales. These developments often take place in close conjunction with the experimental work being carried out at the hereon. The length scale and timescale on which the relevant processes in the material take place or on which these are modelled depends on the material, the process and the component. Over the past few years, the work group has built up a vast wealth of experience when it comes to modelling many material systems such as these. In addition to carrying out intense studies on deformation processes in metallic materials, the work group has also dealt with additional material systems such as metallic glasses and polymers.

At the Helmholtz-Zentrum hereon, the professorship deals specifically with the experimental study and process modelling of solid state joining processes and manufacturing processes which act on a local level. Some named examples of these are joining processes such as friction stir welding and laser welding, as well as additive manufacturing processes such as friction welding and laser deposition welding. This is accompanied by local modification processes for the targeted adjustment of residual stresses (residual stress engineering), such as laser shock peening and hammer peening. One of the fundamental goals of these research activities is to investigate the entire system of process, microstructure and property through a combination of experimental and simulation-based approaches in order to achieve an improved physical understanding thereof. By adapting the process parameters in a targeted manner, the insights gained can be used to optimise material or structural behaviour, e.g. with regard to deformation and failure behaviour.

The professorship plays an active role in various national and international organisations such as the GAMM (International Association of Applied Mathematics and Mechanics) or the ZHM (Centre for Advanced Materials).

Key teaching focuses are in the fields of applied mechanics and material modelling, as well as in the provision of additional engineering basics.

  1. Published

    Experimentally established correlation of friction surfacing process temperature and deposit geometry

    Kallien, Z., Rath, L., Roos, A. & Klusemann, B., 15.09.2020, In: Surface and Coatings Technology. 397, 7 p., 126040.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  2. Published

    On the influence of laser beam welding parameters for autogenous AA2198 welded joints

    Examilioti, T., Kashaev, N., Enz, J., Klusemann, B. & Alexopoulos, N. D., 01.09.2020, In: The International Journal of Advanced Manufacturing Technology. 110, 7-8, p. 2079-2092 14 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  3. Published

    Combined experimental–numerical study on residual stresses induced by a single impact as elementary process of mechanical peening

    Sandmann, P., Nielsen, M. A., Keller, S., Maawad, E., Staron, P. & Klusemann, B., 01.08.2020, In: Strain. 56, 4, 17 p., e12338.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  4. Published

    Two-pass friction stir welding of cladded API X65

    de Lima Lessa, C. R., Landell, R. M., Bergmann, L., dos Santos, J. F., Kwietniewski, C. E. F., Reguly, A. & Klusemann, B., 01.05.2020, In: Procedia Manufacturing. 47, p. 1010-1015 6 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

  5. Published

    Friction riveting of 3D printed polyamide 6 with AA 6056-T6

    dos Santos Mallmann, P. H., Blaga, L. A., dos Santos, J. F. & Klusemann, B., 05.2020, In: Procedia Manufacturing. 47, p. 406-412 7 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

  6. Published

    Mechanical performance prediction for friction riveting joints of dissimilar materials via machine learning

    Bock, F. E., Blaga, L. A. & Klusemann, B., 05.2020, In: Procedia Manufacturing. 47, p. 615-622 8 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

  7. Published

    The influence of laser shock peening on fatigue properties of AA2024-T3 alloy with a fastener hole

    Sikhamov, R., Fomin, F., Klusemann, B. & Kashaev, N., 09.04.2020, In: Metals. 10, 4, 13 p., 495.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  8. Published

    On the application of laser shock peening for retardation of surface fatigue cracks in laser beam-welded AA6056

    Kashaev, N., Ushmaev, D., Ventzke, V., Klusemann, B. & Fomin, F., 01.07.2020, In: Fatigue and Fracture of Engineering Materials and Structures. 43, 7, p. 1500-1513 14 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  9. Published

    Editorial: Machine Learning and Data Mining in Materials Science

    Huber, N., Kalidindi, S. R., Klusemann, B. & Cyron, C. J., 28.02.2020, In: Frontiers in Materials. 7, 3 p., 51.

    Research output: Journal contributionsOther (editorial matter etc.)Research

  10. Published

    Diffusion-driven microstructure evolution in OpenCalphad

    Herrnring, J., Sundman, B. & Klusemann, B., 01.04.2020, In: Computational Materials Science. 175, 10 p., 109236.

    Research output: Journal contributionsJournal articlesResearchpeer-review

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