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.
- 2021
- Published
Deformation and Anchoring of AA 2024-T3 rivets within thin printed circuit boards
Antunes Viallas Boas, M. C., Rodrigues, C. F., Blaga, L. A., dos Santos, J. F. & Klusemann, B., 01.04.2021, ESAFORM 2021: 24th International Conference on Material Forming. Liège: ULiège Library, 12 p. 21.4327. (ESAFORM 2021).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Experimental and numerical thermo-mechanical analysis of wire-based laser metal deposition of Al-Mg alloys
Bock, F. E., Herrnring, J., Froend, M., Enz, J., Kashaev, N. & Klusemann, B., 01.04.2021, In: Journal of Manufacturing Processes. 64, p. 982-995 14 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Experimental-numerical study of laser-shock-peening-induced retardation of fatigue crack propagation in Ti-17 titanium alloy
Sun, R., Keller, S., Zhu, Y., Guo, W., Kashaev, N. & Klusemann, B., 01.04.2021, In: International Journal of Fatigue. 145, 13 p., 106081.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Evaluation of mechanical property predictions of refill Friction Stir Spot Welding joints via machine learning regression analyses on DoE data
Bock, F. E., Paulsen, T., Brkovic, N., Rieckmann, L., Kroeger, D., Wolgast, D., Zander, P., Suhuddin, U. F. H., dos Santos, J. F. & Klusemann, B., 02.04.2021, ESAFORM 2021: 24th International Conference on Material Forming. Liège: ULiège Library, 11 p. 2589. (ESAFORM 2021 - 24th International Conference on Material Forming).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Hybrid modelling by machine learning corrections of analytical model predictions towards high-fidelity simulation solutions
Bock, F. E., Keller, S., Huber, N. & Klusemann, B., 10.04.2021, In: Materials. 14, 8, 19 p., 1883.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Novel Magnesium Based Materials: Are They Reliable Drone Construction Materials? A Mini Review
Höche, D., Weber, W. E., Gazenbiller, E., Gavras, S., Hort, N. & Dieringa, H., 23.04.2021, In: Frontiers in Materials. 8, 7 p., 575530.Research output: Journal contributions › Scientific review articles › Research
- Published
Introducing Residual Stresses on Sheet Metals by Slide Hardening under Stress Superposition
Lehmann, J., Chen, H., Kruse, M. & Ben Khalifa, N., 27.04.2021, In: Key Engineering Materials. 883, p. 143-150 8 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Digital twin support for laser-based assembly assistance
Meier, N., Müller-Polyzou, R., Brach, L. & Georgiadis, A., 03.05.2021, 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 15-17 July 2020. Teti, R. & D`Addona, D. (eds.). Amsterdam: Elsevier B.V., p. 460-465 6 p. (Procedia CIRP; vol. 99).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Guest Editorial Special Issue on Sensors in Machine Vision of Automated Systems
Sergiyenko, O., Flores-Fuentes, W., Mercorelli, P., Rodriguez-Quinonez, J. C. & Kawabe, T., 15.05.2021, In: IEEE Sensors Journal. 21, 10, p. 11242-11243 2 p., 9408336.Research output: Journal contributions › Other (editorial matter etc.) › Research
- Published
Anwendungen des maschinellen Lernens in der Produktion aus Auftrags- und Produktsicht: Ein Überblick
Denkena, B., Dittrich, M-A., Noske, H., Kramer, K. & Schmidt, M., 19.05.2021, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 116, 5, p. 358-362 5 p.Research output: Journal contributions › Journal articles › Research