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
- Professorship of Production Management
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.
- 2020
- 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 contributions › Conference article in journal › Research › peer-review
- 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 contributions › Conference article in journal › Research › peer-review
- 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 contributions › Conference article in journal › Research › peer-review
- 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 contributions › Journal articles › Research › peer-review
- 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 contributions › Journal articles › Research › peer-review
- Published
Extended Kalman Filter for Temperature Estimation and Control of Peltier Cells in a Novel Industrial Milling Process
Mironova, A., Haus, B., Zedler, A. & Mercorelli, P., 01.03.2020, In: IEEE Transactions on Industry Applications. 56, 2, p. 1670-1678 9 p., 8954802.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Influence of data clouds fusion from 3D real-time vision system on robotic group dead reckoning in unknown terrain
Ivanov, M., Sergyienko, O., Tyrsa, V., Lindner, L., Flores-Fuentes, W., Rodriguez-Quinonez, J. C., Hernandez, W. & Mercorelli, P., 01.03.2020, In: IEEE/CAA Journal of Automatica Sinica. 7, 2, p. 368-385 18 p.Research output: Journal contributions › Journal articles › Research › peer-review
- 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 contributions › Other (editorial matter etc.) › Research
- Published
Polynomial Augmented Extended Kalman Filter to Estimate the State of Charge of Lithium-Ion Batteries
Haus, B. & Mercorelli, P., 02.2020, In: IEEE Transactions on Vehicular Technology. 69, 2, p. 1452-1463 12 p., 8933348.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Microstructure by design: An approach of grain refinement and isotropy improvement in multi-layer wire-based laser metal deposition
Froend, M., Ventzke, V., Dorn, F., Kashaev, N., Klusemann, B. & Enz, J., 20.01.2020, In: Materials Science and Engineering A. 772, 13 p., 138635.Research output: Journal contributions › Journal articles › Research › peer-review