Institute for production technology and systems
Organisational unit: Institute
- Junior professorship for Measurement and Sensor Technology in Production Engineering
- Professorship for Manufacturing – Innovative Manufacturing
- Professorship for materials mechanics
- Professorship for Materials Technology, in particular of Magnesium Materials
- Professorship for Modelling and Simulation of Technical Systems and Processes
- Professorship for Product Development and Design
- Professorship for Production Management
- 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.
Main research areas
The members of the department investigate this field from both a production management and a technical perspective.
Cooperations with companies and external research institutes play an important role in the IPTS work. We collaborate with our industry partners to create practically-oriented solutions to problems within industrial practice. This allows us to transfer our research findings directly into industrial companies, thus helping to improve our partners' competitiveness. A particular highlight of our work is the strong partnership which exists between the IPTS and the Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research, which is formally expressed in the form of two shared professorships at the IPTS.
- Published
Preface (Editorial)
Zhou, F., Mercorelli, P., Han, Y., Idris, N. R. N., Dong, W., Andreescu, G. D., Bose, B. K., Singh, R., Carbone, G., Kolhe, M. L., Iqbal, K., Amer, G., Anggono, W., Liu, C., Dwivedi, P. & Aly, H., 2024, 4th International Conference on Electrical Engineering and Computer Technology (ICEECT 2024). 1 ed. IOP Publishing Ltd, Vol. 2917. 2 p. (Journal of Physics: Conference Series; vol. 2917).Research output: Contributions to collected editions/works › Other › Research
- Published
Beschleunigte Erstellung von Simulationsmodellen für Produktions- und Logistikprozesse mithilfe von GPT-basierten Large Language Models
Krämer, R. & Heger, J., 01.09.2024, ASIM SST 2024 Tagungsband Kurzbeiträge: 27. ASIM Symposium Simulationstechnik, 4.9.-6.9.2024, Universität der Bundeswehr München. Rose, O. & Uhlig, T. (eds.). Wien: ARGESIM Verlag , p. 21 - 24 4 p. (ARGESIM Report; vol. 46)(ASIM Mitteilung; vol. 189).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Sliding Mode Control Strategies for Maglev Systems Based on Kalman Filtering
Diab, M., Mercorelli, P. & Haus, B., 2024, Power Engineering and Intelligent Systems - Proceedings of PEIS 2024. Shrivastava, V., Bansal, J. C. & Panigrahi, B. K. (eds.). Springer Science and Business Media Deutschland, p. 85-98 14 p. (Lecture Notes in Electrical Engineering; vol. 1247 LNEE).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Precision Denoising in Medical Imaging via Generative Adversarial Network-Aided Low-Noise Discriminator Technique
Alanazi, T. M. & Mercorelli, P., 12.2024, In: Mathematics. 12, 23, 21 p., 3705.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation
Kharrat, M., Krichen, M., Alhazmi, H. & Mercorelli, P., 01.2025, In: Journal of the Franklin Institute. 362, 2, 21 p., 107471.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Innovative Solid-State Recycling of Aluminum Alloy AA6063 Chips Through Direct Hot Rolling Process
Carta, M., Ben Khalifa, N., Buonadonna, P., El Mohtadi, R., Bertolino, F. & El Mehtedi, M., 17.12.2024, In: Metals. 14, 12, 19 p., 1442.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Continuous Casting with Mid-Process Alloying: An Experimental Study on the Importance of Inlet Positioning
Kammerloher, S., Fuchs, G., Hoyer, J., Kirchebner, B., Thiery, S. & Volk, W., 2024, Copper Alloys 2024: Proceedings. Kupferverband, R. (ed.). Düsseldorf: Kupferverband e.V., p. 47-51 5 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research
- Published
Inductance Estimation Using an EKF for the Robust Control of PMSMs in the Presence of Saturation
Van Rossum, F. M., Mercorelli, P., Haus, B. & Aschemann, H., 11.11.2024, 2024 28th International Conference on System Theory, Control and Computing (ICSTCC) : October 10 - 12, 2024 Sinaia, Romania; Proceedings . Barbulescu, L.-F. (ed.). Piscataway: Institute of Electrical and Electronics Engineers Inc., p. 463-469 7 p. (International Conference on System Theory, Control and Computing, ICSTCC - Proceedings; vol. 2024).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Impulsive Feedback Linearization for Decoupling of a Constant Disturbance with Low Relative Degree to Control Maglev Systems
Diab, M., Mercorelli, P. & Haus, B., 11.11.2024, 2024 28th International Conference on System Theory, Control and Computing (ICSTCC): October 10 - 12, 2024 Sinaia, Romania; Proceedings. Barbulescu, L.-F. (ed.). Piscataway: Institute of Electrical and Electronics Engineers Inc., p. 470-476 7 p. (International Conference on System Theory, Control and Computing, Proceedings; vol. 2024).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Point Cloud Optimization Employing Multisensory Vision
Sepulveda-Valdez, C., Alaniz-Plata, R., Núñez-López, J. A., Alba-Corpus, I. Y., Andrade-Collazo, H., Flores-Fuentes, W., Rodríguez-Quiñonez, J. C., Mercorelli, P., Tyrsa, V., Camacho-López, S. & Sergiyenko, O., 01.12.2024, Scanning Technologies for Autonomous Systems. Rodríguez-Quiñonez, J. C., Flores-Fuentes, W., Castro-Toscano, M. J. & Sergiyenko, O. (eds.). Springer Nature, p. 275-302 28 p.Research output: Contributions to collected editions/works › Chapter › peer-review