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
Model inversion using fuzzy neural network with boosting of the solution
Mercorelli, P. & Nentwig, M., 2012, In: International Journal of Pure and Applied Mathematics. 80, 2, p. 261-270 10 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Modeling the Quarter-Vehicle: Use of Passive Sensor Data for Road Condition Monitoring
Kortmann, F., Horstkötter, J., Warnecke, A., Meier, N., Heger, J., Funk, B. & Drews, P., 15.07.2021, In: IEEE Sensors Journal. 21, 14, p. 15535-15543 9 p., 9281332.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Modeling precipitation kinetics for multi-phase and multi-component systems using particle size distributions via a moving grid technique
Herrnring, J., Sundman, B., Staron, P. & Klusemann, B., 15.08.2021, In: Acta Materialia. 215, 14 p., 117053.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Modeling of temperature- and strain-driven intermetallic compound evolution in an Al-Mg system via a multiphase-field approach with application to refill friction stir spot welding
Raza, S. H., Mittnacht, T., Diyoke, G., Schneider, D., Nestler, B. & Klusemann, B., 01.12.2022, In: Journal of the Mechanics and Physics of Solids. 169, 105059.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Modeling of microstructural pattern formation in crystal plasticity
Klusemann, B., 2016, Book of Abstract of the Joint Annual Meeting of GAMM and DMV. G. F. A. M. U. M. E. V. (ed.). Technische Universität Braunschweig, p. 621 1 p.Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Research › peer-review
- Published
Modeling of microstructural pattern formation in crystal plasticity
Klusemann, B., 25.10.2016, In: Proceedings in applied mathematics and mechanics. 16, 1, p. 361-362 2 p.Research output: Journal contributions › Journal articles › Research
- Published
Modeling of 3D fluid-structure-interaction during in-situ hybridization of double-curved fiber-metal-laminates
Poppe, C. T., Kruse, M. & Kärger, L., 19.04.2023, Material Forming - The 26th International ESAFORM Conference on Material Forming – ESAFORM 2023: The 26th International ESAFORM Conference on Material Forming - ESAFORM 2023. Madej, L., Sitko, M. & Perzynski, K. (eds.). Krakow: MaterialsResearchForum LLC, p. 219-230 12 p. (Materials Research Proceedings; vol. 28).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Modeling Interactions and Dependencies in Production Planning and Control: An Approach for a Systematic Description
Mütze, A., Lebbing, S., Hillnhagen, S., Schmidt, M. & Nyhuis, P., 04.03.2023, Smart, Sustainable Manufacturing in an Ever-Changing World: Proceedings of International Conference on Competitive Manufacturing (COMA ’22) . von Leipzig, K., Sacks, N. & Clelland, M. M. (eds.). Cham: Springer Schweiz, p. 31-44 14 p. (Lecture Notes in Production Engineering; vol. Part F1162).Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Modeling, Identification, and Control for Cyber-Physical Systems Towards Industry 4.0
Mercorelli, P. (ed.), Zhang, W. (ed.), Nemati, H. (ed.) & Zhang, Y. M. (ed.), 01.01.2024, Academic Press Inc. 450 p.Research output: Books and anthologies › Collected editions and anthologies › Research
- Published
Modeling a modular omnidirectional AGV developmental platform with integrated suspension and power-plant
Macfarlane, A. B. S., van Niekerk, T., Becker, U. & 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.). Academic Press Inc., p. 151-168 18 p.Research output: Contributions to collected editions/works › Chapter › peer-review