Dr. Veronika Schleper
Virtual product development – greater insight into complex systems
“We develop simulation models and optimization methods to generate detailed virtual representations of our current and future products. This enables us to make a crucial contribution to the optimization of our manufactured goods.”
My name is Veronika Schleper, and I deal with the aspects of virtual product development. During my Ph.D. and postdoctoral studies, my research was predominantly in the areas of optimization and multiphase flows. Since 2016, I have been working as a research engineer, dealing with shape optimization and fluid dynamics, especially in porous media. The application areas range from heat exchangers to state-of-the-art fuel cells.
Robert Bosch GmbH
Research engineer in Fluid Mechanics
University of Stuttgart and the “Simulation Technology” Cluster of Excellence
Postdoctoral dissertation in mathematics on conservation laws
Ph.D. in mathematics on the optimal control of gas pipeline networks
R. M. Colombo et al. (2016)The compressible to incompressible limit of 1D Euler equations: The non-smooth case.
- R. M. Colombo; G. Guerra; V. Schleper
- Arch. Rat. Mech. Anal. 219, p. 701-718
J. Neusser et al. (2015)Relaxed Navier-Stokes-Korteweg Equations for Compressible Two-Phase Flow with Phase Transition
- J. Neusser; C. Rohde; V. Schleper
- Int. J. Numer. Meth. Fluids. 79, p. 615-639
S. Göttlich et al. (2013)Modeling, simulation and validation of material flow on conveyor belts
- S. Göttlich; S. Hoher; P. Schindler; V. Schleper; A. Verl
- Appl. Math. Modell, vol. 38, issue 13, p. 3295-3313
V. Schleper et al. (2012)Well-posedness of networked hyperbolic systems of balance laws
- V. Schleper; M. Gugat; M. Herty; A. Klar; G. Leugering
- Constrained Optimization and Optimal Control for Partial Differential Equations, p. 160
R. M. Colombo & V. Schleper (2012)Two-phase flows: non-smooth well posedness and the compressible to incompressible limit
- Nonlinear Anal. Real World Appl., vol. 13, issue 5, p. 2195-2213
M. Gugat et al. (2011)Flow control in gas networks: exact controllability to a given demand
- M. Gugat; M. Herty; V. Schleper
- Math. Methods Appl. Sci., vol. 34, issue 7, p. 745-757
M. Herty et al. (2010)A new model for gas flow in pipe networks
- M. Herty; J. Mohring; V. Sachers
- Math. Methods Appl. Sci., vol. 33, issue 7, p. 845-855
R. M. Colombo et al. (2009)Optimal control in networks of pipes and canals
- R. M. Colombo; M. Herty; V. Schleper
- SIAM J. Control Optim., vol. 48, issue 3, p. 2032-2050
G. Guerra et al. (2009)Balance laws with integrable unbounded sources
- G. Guerra; F. Marcellini; V. Schleper
- SIAM J. Math. Anal., vol. 41, issue 3, p. 1164-1189
R. M. Colombo et al. (2008)On 2x2 conservation laws at a junction
- R. M. Colombo; M. Herty; V. Sachers
- SIAM J. Math. Anal., Vol. 40, issue 2, p. 605-622
Interview with Dr. Veronika Schleper
Research Engineer for Fluid Dynamics and Virtual Product Engineering
Please tell us what fascinates you most about research.
Research means constantly discovering something new and surprising. As researchers, we have the privilege of being able to delve deeply into new areas of inquiry, which allows us to really get down to the nitty-gritty of the issues involved.
What makes research done at Bosch so special?
Without a doubt it’s the strong interdisciplinary focus! Our team brings together exactly those researchers, with their varying areas of expertise, who can contribute to solving these problems. This also makes it very easy to gain a broad range of technological knowledge that extends beyond our own fields of research.
What research topics are you currently working on at Bosch?
In virtual product development, we deal with a wide range of areas, from the development of new simulation models to the derivation of efficient simulation strategies to the optimization of the form and function of products. The topics I am currently focusing on are freeform optimization and the development of simulation methods for fuel cell vehicles.
What are the biggest scientific challenges in your field of research?
In such a broad and varied field as virtual product development, it is almost impossible to specify THE single greatest challenge. In many cases, it is still necessary to describe the physical processes in such a way that a predictive simulation model is created that can be solved with a moderate degree of computational effort. But naturally we are also concerned with general questions, such as the influence of quantum computers on future simulation methods or how machine learning can make our simulation processes more efficient.
How do the results of your research become part of solutions "Invented for life"?
Detailed simulation models contribute to a deeper understanding of the functional principles of our products. This enables us to make many processes more efficient, save resources, and thus contribute to the sustainable use of raw materials. By researching fuel cell vehicles, we are also making the shift toward CO2-neutral mobility more tangible.