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
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
- Published
Eilaufträge logistisch beherrschen
Heuer, T., Nyhuis, P., Maier, J. T. & Schmidt, M., 2021, In: wt Werkstattstechnik online. 111, 4, p. 185-189 5 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Co-extrusion of compound-cast AA7075/6060 bilayer billets at various temperatures
Chen, H., Giannopoulou, D., Greß, T., Mittler, T., Isakovic, J., Volk, W. & Ben Khalifa, N., 2021, Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. Daehn, G., Cao, J., Kinsey, B., Teekaya, E., Vivek, A. & Yoshida, Y. (eds.). Cham: Springer International Publishing AG, p. 993-1001 9 p. (Minerals, Metals and Materials Series).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Homogenization of the interfacial bonding of compound-cast AA7075/6060 bilayer billets by co-extrusion
Chen, H., Giannopoulou, D., Greß, T., Isakovic, J., Mittler, T., Volk, W. & Ben Khalifa, N., 09.2021, In: International Journal of Material Forming. 14, 5, p. 1109-1119 11 p.Research output: Journal contributions › Journal articles › Research › peer-review
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New concepts of extrusion dies to reduce the anisotropy of extruded profiles by means of additive manufacturing
Khalifa, N. B., Isakovic, J. & Bohlen, J., 2021, In: CIRP Annals. 70, 1, p. 231-234 4 p.Research output: Journal contributions › Journal articles › Research › peer-review
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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
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Tailoring of residual stresses by specific use of defined prestress during laser shock peening
Schwab, K. C., Keller, S., Kashaev, N. & Klusemann, B., 01.09.2021, In: Journal of Materials Processing Technology. 295, 11 p., 117154.Research output: Journal contributions › Journal articles › Research › peer-review
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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
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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
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