Institute for production technology and systems
Organisational unit: Institute
- Junior professorship for Measurement and Sensor Technology in Production Engineering
- Professorship for Engineering, in particular Modelling and Simulation of Technical Systems and Processes
- Professorship for Machine Tools
- Professorship for Manufacturing – Innovative Manufacturing
- Professorship for materials mechanics
- Professorship for Materials Technology, in particular of Magnesium Materials
- Professorship for Process Measurement Technology and Intelligent Systems
- Professorship for Product Development and Design
- 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.
Topics
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.
- 2025
- Published
Inner loop model predictive control and outer loop PI reference governor for PMSMs with input and state saturation for torque control
Zwerger, T. & Mercorelli, P., 01.02.2025, In: Mathematics and Computers in Simulation. 228, p. 178-201 24 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Die geometry influence on the texture and microstructure development during extrusion of AZ31 and ZK60 magnesium alloy chips
Hendriok, L., Nienaber, M., Kurz, G. & Ben Khalifa, N., 2025, In: Materials and Design. 249Research output: Journal contributions › Journal articles › Research › peer-review
- 2024
- Published
Innovative Solid-State Recycling of Aluminum Alloy AA6063 Chips Through Direct Hot Rolling Process
Carta, M., Ben Khalifa, N., Buonadonna, P., El Mohtadi, R., Bertolino, F. & El Mehtedi, M., 17.12.2024, In: Metals. 14 (12), 1442, 19 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Point Cloud Optimization Employing Multisensory Vision
Sepulveda-Valdez, C., Alaniz-Plata, R., Núñez-López, J. A., Alba-Corpus, I. Y., Andrade-Collazo, H., Flores-Fuentes, W., Rodríguez-Quiñonez, J. C., Mercorelli, P., Tyrsa, V., Camacho-López, S. & Sergiyenko, O., 01.12.2024, Scanning Technologies for Autonomous Systems. Rodríguez-Quiñonez, J. C., Flores-Fuentes, W., Castro-Toscano, M. J. & Sergiyenko, O. (eds.). Springer Nature AG, p. 275-302 28 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Assistance systems for patient positioning in radiotherapy practice
Müller-Polyzou, R., Reuter-Oppermann, M., Feger, J., Meier, N. & Georgiadis, A., 12.2024, In: Health Systems. 13, 4, p. 332-360 29 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Case study on delivery time determination using a machine learning approach in small batch production companies
Rokoss, A., Syberg, M., Tomidei, L., Hülsing, C., Deuse, J. & Schmidt, M., 12.2024, In: Journal of Intelligent Manufacturing. 35, 8, p. 3937-3958 22 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Corrosion behavior of multi-layer friction surfaced structure from dissimilar aluminum alloys
Antunes Duda, E., Kallien, Z., da Silva Soares, S., Hernandez Schneider, T., Ribeiro Piaggio Cardoso, H., Vieira Braga Lemos, G., Falcade, T., Reguly, A. & Klusemann, B., 12.2024, In: Scientific Reports. 14, 1, 10 p., 9882.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Improving the surface quality of AlMgSi1 alloy with the selection of the appropriate vibration grinding stones
Engler, C., Georgiadis, A., Lange, D. & Meier, N., 12.2024, In: Journal of Engineering and Applied Science. 71, 20 p., 35.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Increased Reliability of Draw-In Prediction in a Single Stage Deep-Drawing Operation via Transfer Learning
Wollschlaeger, L., Heinzel, C., Thiery, S., Abdine, M. Z. E., Khalifa, N. B. & Heger, J., 12.2024, In: Procedia CIRP. 130, p. 270-275 6 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Increased Reliability of Draw-In Prediction in a Single Stage Deep-Drawing Operation via Transfer Learning
Wollschlaeger, L., Heinzel, C., Thiery, S., El abdine, M. Z., Khalifa, N. B. & Heger, J., 12.2024, In: Procedia CIRP. 130, p. 270-275Research output: Journal contributions › Journal articles › Research › peer-review