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.
- Published
2D Simulations of the NS-Laser Shock Peening
Pozdnyakov, V. & Oberrath, J., 06.2019, 2019 IEEE Pulsed Power and Plasma Science, PPPS 2019. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., 4 p. 9009984. (IEEE International Pulsed Power Conference; vol. 2019-June).Research output: Contributions to collected editions/works › Article in conference proceedings › 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
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
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
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
Data based root cause analysis for improving logistic key performance indicators of a company’s internal supply chain
Schmidt, M., Maier, J. T. & Härtel, L., 2020, In: Procedia CIRP. 86, p. 276-281 6 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Production of aluminum AA7075/6060 compounds by die casting and hot extrusion
Greß, T., Mittler, T., Chen, H., Stahl, J., Schmid, S., Ben Khalifa, N. & Volk, W., 01.06.2020, In: Journal of Materials Processing Technology. 280, 12 p., 116594.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
Robust approximate fixed-time tracking control for uncertain robot manipulators
Su, Y., Zheng, C. & Mercorelli, P., 01.01.2020, In: Mechanical Systems and Signal Processing. 135, 1, 17 p., 106379.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Enabling Road Condition Monitoring with an on-board Vehicle Sensor Setup
Kortmann, F., Peitzmeier, H., Meier, N., Heger, J. & Drews, P., 10.2019, 2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings: Conference proceedings. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., 4 p. 8956699. (Proceedings of IEEE Sensors; vol. 2019-October).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review