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Prof. Dr.-Ing. Franz Dietrich
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Office: PTZ 303
Tel.: +49 (0)30/314-22014
Fax: +49 (0)30/314-22759
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Scientific career
2018 Professor and head of the department of assembly and handling technology (successor em. Prof. Günther Seliger), TU Berlin
2017 TU Berlin: Call to TU Berlin
2013 Head of the research group "Assembly and Production Automation", Institute of Machine Tools and Production Technology, TU Braunschweig, with active contribution to the research campus OpenHybrid LabFactory, Wolfsburg to the research center BatteryLabFactory Braunschweig
2013 Promotion to Dr.-Ing. with the research topic "Nonlinear Modelling of Hydraulically Actuated Production Machines Using Optimized Experiments", TU Braunschweig
2005 Diplom mechanical engineering (mechatronics & microsystems technology), Karlsruhe Institute of Technology KIT (former University Karlsruhe (TH)), with studies in England and at the University of Bremen
- Chairman and organizer of the 7th International CIRPe Web Conference 2019
- Research Affiliate of the International Academy of Production Engineering (CIRP)
- Winner of the science award of the Heribert-Nasch-Foundation
- Guest lectures at the Tongji-University, Shanghai, und Singapore Institute of Manufacturing Technology (SIMTECH), Singapur
- Scientific advisor in the EXIST-project FormHand (now FormHand GmbH, Braunschweig)
- Involved in over 70 scientific publications and several patents
Contact me for a full CV.
Scientific interests
- Dynamised production with utilization of user-centred means of intervention and design thinking models
- Handling technology, robotics, systems technology and control technology for production automation
- Human-Robot collaboration
- Control technology for robots, process automation and command levels
- Modeling, control, trajectory generation
- Robot controlled additive production
- Machine concepts, multi-purpose gripper and end effectors
- Micro assembly, precision assembly, high speed assembly
- Lab automation and packaging technology (pharamaceutics and bio technology)
- Process automation, linking and stacking technology for batteries and fuel cells
- Automation for production process chains in lightweight construction / multi-material-components / in additive production
- Handling technology for flexible transfer, intra-logistics and commissioning
- Handling technology, assembly and disassembly in the context of sustainability and energy efficiency
- New forms of engineer training, i.e. with augmented reality and maker spaces
- Augmented reality for qualification and productivity increase in assembly and logistics
- Automation and rationalization of non-production handling processes (i.e. flow of goods, services, construction industry)
- Targeted use and management of heat in automated production
Publications
| Citation key | SchillingGuembelMoellerEtAl2019 |
|---|---|
| Author | Schilling, Antje and Gümbel, Philip and Möller, Markus and Kalkan, Fatih and Dietrich, Franz and Dröder, Klaus |
| Pages | 163-167 |
| Year | 2019 |
| ISBN | 10.1149/2.0251903jes |
| Journal | Journal of The Electrochemical Society |
| Volume | 166(3) |
| Abstract | The electrolyte filling process constitutes the interface between cell assembly and formation of lithium ion batteries. Electrolyte filling is known as a quality critical and also time consuming process step. To avoid limitations in battery quality a homogeneous electrolyte distribution is necessary. Therefore, especially large sized cells are stored for hours. To accelerate filling and wetting processes the effect of materials- and process parameters on electrolyte distribution needs to be investigated. Unfortunately, in situ methods to characterize the filling and wetting state are still rare, limited in availability or even time-consuming in preparation. To overcome these drawbacks this paper introduces x-ray as an innovative method to visualize the electrolyte filling process in large scaled lithium ion batteries. Therefore, an experimental setup was developed to enable in situ x-ray measurements during the filling process of large scaled cells. Additionally, an evaluation process for the optical data was proposed. Based on these images the suitability of x-ray as visualization method is shown considering three exemplary filling parameters. |
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