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.
- Conference article in journal › Research › Peer-reviewed
- Published
Surface modification methods for fatigue properties improvement of laser-beam-welded Ti-6Al-4V butt joints
Fomin, F., Klusemann, B. & Kashaev, N., 31.12.2018, In: Procedia Structural Integrity. 13, p. 273-278 6 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
The effects of hybrid order processing strategies on economic and logistic objectives
Maier, J. T., Heuer, T., Nyhuis, P. & Schmidt, M., 01.01.2021, In: Procedia CIRP. 96, p. 266-271 6 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Towards 3D Process Simulation for In Situ Hybridization of Fiber-Metal-Laminates (FML)
Poppe, C. T., Werner, H. O., Kruse, M., Chen, H., Ben Khalifa, N., Henning, F. & Kärger, L., 22.07.2022, In: Key Engineering Materials. 926, p. 1399-1412 14 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Two-pass friction stir welding of cladded API X65
de Lima Lessa, C. R., Landell, R. M., Bergmann, L., dos Santos, J. F., Kwietniewski, C. E. F., Reguly, A. & Klusemann, B., 01.05.2020, In: Procedia Manufacturing. 47, p. 1010-1015 6 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Two-step simulation approach for laser shock peening
Pozdnyakov, V., Keller, S., Kashaev, N., Klusemann, B. & Oberrath, J., 11.2019, In: Proceedings in applied mathematics and mechanics. 19, 1, 2 p., e201900497.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Using data mining techniques to investigate the correlation between surface cracks and flange lengths in deep drawn sheet metals
Heger, J. & Zein El Abdine, M., 01.09.2019, In: IFAC-PapersOnLine. 52, 13, p. 851-856 6 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Using Decision Trees and Reinforcement Learning for the Dynamic Adjustment of Composite Sequencing Rules in a Flexible Manufacturing System
Voß, T., Heger, J. & Zein El Abdine, M., 09.2022, In: Simulation Notes Europe. 32, 3, p. 169-175 7 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Using haar wavelets for fault detection in technical processes
Mercorelli, P., 01.06.2015, In: IFAC-PapersOnLine. 48, 4, p. 37-42 6 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Vibration analysis based on the spectrum kurtosis for adjustment and monitoring of ball bearing radial clearance
Georgiadis, A., Gong, X. & Meier, N., 10.10.2018, In: MATEC Web of Conferences. 211, 6 p., 06006.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Vision-Based Deep Learning Algorithm for Detecting Potholes
Gajjar, K., Niekerk, T. V., Wilm, T. & Mercorelli, P., 25.01.2022, In: Journal of Physics: Conference Series. 2162, 11 p., 012019.Research output: Journal contributions › Conference article in journal › Research › peer-review