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  4. Planning and Simulation

Planning and Simulation

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Planning and Simulation

Definition

‪

The technology field “Planning and Simulation” bundles group-wide the chair competence regarding the used planning and simulation software. The software range extends from the design and physical simulation of individual components through integrated engineering to integrated material flow simulation and factory planning.

Industrial production facilities and mechatronic products are becoming increasingly complex, which minimizes investment risk, shortens implementation time, and requires comprehensive review of behavior. In addition, the market situation requires ever more rapid adaptation to customer requirements and thus requires high flexibility of the production systems due to their volatility. Digital planning and simulation systems form a functional basis for these and other challenges, which must be extended to meet the higher requirements for adaptability and integra- bility in the context of Industry 4.0.

In various fields of application in the field of production, the technology field Planning and Simulation investigates the coordinated use of diverse software tools as well as their integration into existing systems and tests them in a number of real applications of the research groups. In addition to the detailed planning of systems and test setups using integrated engineering tools and process / kinematics simulations, this also includes process simulations with which the behavior of complex systems can be analyzed and optimized during operation. In addition, investigations at the process and component level are gaining in importance, allowing optimized process design taking into account and combining different physical effects.

Vision

All research topics in the area of ​​technology field aim at the orientation and extension of generic software solutions for an integrated use in concrete processes or systems. Accordingly, existing tools are to be supplemented with appropriate functionalities so that they can function as a digital twin based on an integrated data model for the entire product life cycle of a mechatronic product / system. In the long term, this will make closed-loop manufacturing feasible at the factory level.

Focus areas

  • Product design
  • Plant Engineering
  • Line design
  • Manufacturing planning
  • Magnetic field simulation
  • Thermal simulation
  • Mechatronic simulation
  • Thermodynamic simulation
  • Optical simulation
  • Finite element method
  • Computational Fluid Dynamics
  • Kinematics simulation
  • Ergonomics simulation
  • Material flow simulation
  • Energy Simulation
  • CAD, MCD, ECAD
  • PLC programming
  • Virtual Commissioning

Head of technology field

  • Florian Faltus, M. Sc.

Members

  • Sebastian Anders, M. Sc.
  • Martin Barth, M.Eng.
  • Dipl.-Ing. Matthias Brossog
  • Andreas Brunner, M.Sc.
  • Thaís de Freitas, M.A.
  • Baris Erdönmez, M.Sc.
  • Nicolas Falbesaner, M.Sc.
  • Florian Faltus, M. Sc.
  • Sebastian Hörlin
  • Ikrom Kambarov, M.Sc.
  • Oguz Kedilioglu, M.Sc.
  • David Kunz, M.Sc.
  • Andreas Mayr, M.Sc., M.Sc.
  • Huong Giang Nguyen, M. Sc.
  • Tony Phan, M.Sc.
  • Alexander Schlosser, M. Sc.
  • Elisabeth Schmidl, M.Eng.
  • Lorenz Schmidt
  • Marvin Schobert, M. Sc.
  • Martin Sjarov, M. Sc.
  • Mario Sprenger, M. Sc.
  • Dr.-Ing. Michael Weigelt
  • Robert Werthmann
Friedrich-Alexander-Universität
Erlangen-Nürnberg

Schlossplatz 4
91054 Erlangen
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