Institute for production technology and systems
Organisational unit: Institute
- 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.
- Published
Simulation-based Investigation of Energy Flexibility in the Optimization of Hinterland Drainage
Hempel, M. C. & Heger, J., 2024, In: Simulation Notes Europe. 34, 1, p. 35–42 8 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Recent Advances in Intelligent Algorithms for Fault Detection and Diagnosis
Mercorelli, P., 22.04.2024, In: Sensors. 24, 8, 17 p., 2656.Research output: Journal contributions › Scientific review articles › Research
- E-pub ahead of print
Influence of implant base material on secondary bone healing: an in silico study
Nayak, G. S., Roland, M., Wiese, B., Hort, N. & Diebels, S., 13.04.2024, (E-pub ahead of print) In: Computer Methods in Biomechanics and Biomedical Engineering. 9 p.Research output: Journal contributions › Journal articles › Research › peer-review
- E-pub ahead of print
Effect of thermo-mechanical conditions during constrained friction processing on the particle refinement of AM50 Mg-alloy phases
de Castro, C. C., Neves, A. M. & Klusemann, B., 17.04.2024, (E-pub ahead of print) In: Journal of Magnesium and Alloys. 14 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Neural network-based estimation and compensation of friction for enhanced deep drawing process control
Thiery, S., Zein El Abdine, M., Heger, J. & Ben Khalifa, N., 15.05.2024, Material Forming ESAFORM 2024: The 27th International ESAFORM Conference on Material Forming – ESAFORM 2024 – held in Toulouse (France), at the Pierre Baudis Convention Center between 24-26th April, 2024. Araujo, A. C., Cantarel, A., Chabert, F., Korycki, A., Olivier, P. & Schmidt, F. (eds.). Millersville: MaterialsResearchForum LLC, p. 1462-1471 10 p. 162. (Materials Research Proceedings; vol. 41).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Motion and control of autonomous unmanned aerial systems as a challenge in Industry 4.0 process
Mercorelli, P., Nemati, H. & Zhu, Q., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Mercorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Academic Press Inc., p. 243-245 3 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Manufacturing as a challenge in Industry 4.0 process
Mercorelli, P., Nemati, H. & Zhu, Q., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Mercorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Academic Press Inc., p. 15-17 3 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Motion and control of autonomous unmanned aerial systems as a challenge in Industry 4.0 process
Mercorelli, P., Nemati, H. & Zhu, Q., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Mercorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Academic Press Inc., p. 327-330 4 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Advanced ice-clamping control in the context of Industry 4.0
Mironova, A., Mercorelli, P. & Zedler, A., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Mercorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Academic Press Inc., p. 19-40 22 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Multibody simulations of distributed flight arrays for Industry 4.0 applications
Yip, L., Nemati, H., Mercorelli, P. & Zhu, Q., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Mercorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Academic Press Inc., p. 247-278 32 p.Research output: Contributions to collected editions/works › Chapter › peer-review