Institute for production technology and systems
Organisational unit: Institute
- Junior professorship for Measurement and Sensor Technology in Production Engineering
- Professorship for Manufacturing – Innovative Manufacturing
- Professorship for materials mechanics
- Professorship for Materials Technology, in particular of Magnesium Materials
- Professorship for Modelling and Simulation of Technical Systems and Processes
- Professorship for Product Development and Design
- Professorship for Production Management
- Professorship of Control and Drive Systems
Organisation profile
The members of the Institute for Production Technology and Systems (IPTS) carry out work on a wide range of engineering-related research questions.
When it comes to subjects, the members of the Institute concentrate on the topics of supply chain management and production management, as well as on measurement, control, plasma, production and material technology. Within these fields, we aim to answer current research questions through both experimental work and the use of digital modelling. Our overarching goal here is to provide better solution strategies for complex problems within the field of engineering.
Main research areas
The members of the department investigate this field from both a production management and a technical perspective.
Cooperations with companies and external research institutes play an important role in the IPTS work. We collaborate with our industry partners to create practically-oriented solutions to problems within industrial practice. This allows us to transfer our research findings directly into industrial companies, thus helping to improve our partners' competitiveness. A particular highlight of our work is the strong partnership which exists between the IPTS and the Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research, which is formally expressed in the form of two shared professorships at the IPTS.
- 2026
- Published
Three-dimensional mapping of residual stresses and crack propagation in refill friction stir spot welded aluminium samples via synchrotron X-ray diffraction and X-ray micro-computed tomography
Bernardi, M., Canelo-Yubero, D., Chen, T., Suhuddin, U. F. H., Bergmann, L. & Klusemann, B., 01.2026, In: International Journal of Fatigue. 202, 11 p., 109223.Research output: Journal contributions › Journal articles › Research › peer-review
- 2025
- Published
Trans pixelate substitution scheme for denoising computed tomography images towards high diagnosis accuracy
Hu, F., Gu, H., Wu, F., Lhioui, C., Othmen, S., Alfahid, A., Yousef, A. & Mercorelli, P., 12.2025, In: Scientific Reports. 15, 1, 23 p., 11525.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Additive friction stir deposition vs. friction surfacing: Comparison of friction stir-based approaches for groove repair of high strength aluminum alloys
Kallien, Z., Rojas, V. A., Aspes, P., Swinney, A. N., Fleck, T. J., Jordon, J. B., Allison, P. G. & Klusemann, B., 10.2025, In: Materials and Design. 258, 14 p., 114511.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
From cost to capability: Technology Multiplier in EV manufacturing strategy
Girke, R., Schäfer, L., Maier, T., Stamer, F., Yang, S., Chun, J. H. & Lanza, G., 10.2025, In: Journal of Manufacturing Systems. 82, p. 319-332 14 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Analysis of piezoelectric harvester with multi-array configuration for ultra-low power sensor nodes
Schott, L., Bouattour, G., Fromm, R., Strakosch, F., Kanoun, O. & Derbel, F., 27.09.2025, In: Results in Engineering. 27, 17 p., 106728.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
A multi-component phase-field model for T1 precipitates in Al-Cu-Li alloys
Reza Safi, A., Mathew, E., Chafle, R. & Klusemann, B., 15.09.2025, In: Modelling and Simulation in Materials Science and Engineering. 33, 6, 32 p., 065009.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Application of dynamic pricing for variant production using reinforcement learning
Stamer, F., Henzi, M. & Lanza, G., 09.2025, In: CIRP Journal of Manufacturing Science and Technology. 60, p. 248-259 12 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Insight into the self-healing performance of dicalcium phosphate dihydrate coating on magnesium wires: Its damage and anti-corrosive behavior under deformation
Zhang, Y., Nie, T., Chen, D., Jiang, G., Xu, W., Liu, H., Qian, K., Ju, J., Chu, C., Xue, F., Huang, Y., Hort, N. & Bai, J., 09.2025, In: Corrosion Science. 254, 17 p., 113051.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Mechanical behavior, microstructural evolution and texture analysis of AA2024-T351 processed by multi-layer friction surfacing with high build rates
Hoffmann, M., Roos, A. & Klusemann, B., 09.2025, In: Progress in Additive Manufacturing. 10, 9, p. 6279-6293 15 p., 146582.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Machine learning pipeline for Structure–Property modeling in Mg-alloys using microstructure and texture descriptors
Guru, M. K., Bohlen, J., Aydin, R. C. & Khalifa, N. B., 15.08.2025, In: Acta Materialia. 295, 121132.Research output: Journal contributions › Journal articles › Research › peer-review