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.
Topics
Die Forschungsschwerpunkte des IPTS liegen im Bereich neuer Produktionstechnologien und Produktionssysteme. Dazu gehören nicht nur neue Technologien für Produktinnovationen, sondern auch die Entwicklung von Prozessen, Systemen, Komponenten, Ausrüstungen und Dienstleistungen.
Forschungsziele sind unter anderem die Optimierung der wertschöpfenden Prozessschritte und Minderung indirekter Arbeitsschritte wie Transport, Handhabungsschritte, Nacharbeit und Qualitätsüberprüfung.
Ein wichtiger Aspekt ist dabei immer der schonende Umgang mit den weltweit knapper werdenden Ressourcen. Innovative, effizient gestaltete Produktions- und Servicesysteme bilden einen weiteren Forschungschwerpunkt. Von besonderer Relevanz für die Forschung in der Produktion ist die ganzheitliche Bewertung von Lebenszykluskosten bei der Produktionsplanung.
- 2024
- Published
Nonlinear control allocation applied on a QTR: the influence of the frequency variation
Ferreira dos Santos, M., de Mello Honório, L., Ferreira da Silva, M., Ferreira Vidal, V. & Mercorelli, P., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Mercorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Elsevier, p. 311-325 15 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Production of Mg-Mg2Si Composites
Neuhaus, J., Wiese, B. & Hort, N., 01.01.2024, Magnesium Technology 2024. Leonard, A., Barela, S., Neelameggham, N. R., Miller, V. M. & Tolnai, D. (eds.). Springer Science and Business Media Deutschland GmbH, p. 165-169 5 p. (Minerals, Metals and Materials Series).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Temperature control in Peltier cells comparing sliding mode control and PID controllers
Mironova, A., Mercorelli, P. & Zedler, A., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Elsevier, p. 41-77 37 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
U-model-based dynamic inversion control for quadrotor UAV systems
Aziz Lone, A., Nemati, H., Zhu, Q., Mercorelli, P. & Narayan, P., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Elsevier, p. 293-309 17 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Thermal Analysis and Cooling Strategies of High-Efficiency Three-Phase Squirrel-Cage Induction Motors—A Review
Konda, Y. R., Ponnaganti, V. K., Reddy, P. V. S., Singh, R. R., Mercorelli, P., Gundabattini, E. & Solomon, D. G., 04.01.2024, In: Computation. 12, 1, 21 p., 6.Research output: Journal contributions › Scientific review articles › Research
- E-pub ahead of print
Case study on delivery time determination using a machine learning approach in small batch production companies
Rokoss, A., Syberg, M., Tomidei, L., Deuse, J. & Schmidt, M., 12.01.2024, (E-pub ahead of print) In: Journal of Intelligent Manufacturing. 23 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Novel Magnesium Nanocomposite for Wire-Arc Directed Energy Deposition
Dieringa, H., Nienaber, M., Giannopoulou, D., Isakovic, J., Bohlen, J., Kujur, M. S., Ben Khalifa, N., Klein, T. & Gneiger, S., 20.01.2024, In: Materials. 17, 2, 11 p., 500.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Effect of filler materials on the tensile properties and fracture toughness of laser beam welded AA2198 joints under different ageing conditions
Examilioti, T. N., Karanikolas, D., Riekehr, S., Al-Hamdany, N., Papanikos, P., Klusemann, B., Kashaev, N. & Alexopoulos, N. D., 23.01.2024, In: Engineering Fracture Mechanics. 295, 20 p., 109811.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Application of novel constrained friction processing method to produce fine grained biomedical Mg-Zn-Ca alloy
Chen, T., Fu, B., Shen, J., Suhuddin, U. F. H. R., Wiese, B., Huang, Y., Wang, M., dos Santos, J. F., Bergmann, J. P. & Klusemann, B., 02.2024, In: Journal of Magnesium and Alloys. 12, 2, p. 516-529 14 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Application of friction surfacing for solid state additive manufacturing of cylindrical shell structures
Kallien, Z., Rath, L., Roos, A. & Klusemann, B., 01.02.2024, In: Additive Manufacturing Letters. 8, 8 p., 100184.Research output: Journal contributions › Journal articles › Research › peer-review