SFB 614: Self-Optimizing Concepts and Structures in Mechanical Engineering

Overview

Information technology is increasingly penetrating the field of conventional mechanical engineering, and this offers considerable potential for innovation. This is expressed in the term "mechatronics", which was itself formed by conjoining "mechanics" and "electronics". It describes the close interaction between mechanical science, electronics, control engineering, and software. Future systems in the area of mechanical engineering will comprise configurations of intelligent system elements. The communication and cooperation between intelligent system elements characterize the behavior of the overall system. In terms of software engineering, this involves distributed systems of interacting agents which opens up fascinating prospects for the design of future mechanical engineering products. The concept of self-optimization characterizes this perspective: Self-optimization enables empowered systems with inherent "intelligence" which are able to react autonomously and flexibly to changing environmental conditions. To realize the vision of mechanical engineering products that contain partial intelligence a toolset for designing self-optimizing systems is needed. This is the deciding factor in leveraging future research results, because only a well-documented and well-tested toolkit can help the industry successfully develop self-optimizing systems. Consequently the subsequent goals and research programs can be identified:

-- Fundamentals and potentials of self-optimization. Scientific penetration of the paradigm of self-optimization in an engineering context.

-- Design methods and toolsets. Establishing the methodological and tool requirements for the development of innovative systems that rely on the paradigm of self-optimization.

-- Implementation methods. Realization of self-optimization on the levels of hardware, system-software and controller-software.

-- Self-optimizing products and systems. Design and prototypical realization of new modules, products and systems in order to validate above mentioned methods and toolsets and to bring forward product innovation.

For demonstration purposes the "Neue Bahntechnik Paderborn" (Innovative Railway System Paderborn) project offers a powerful research infrastructure.

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Principal Investigators

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Prof. Dr.-Ing. Joachim Böcker

Power Electronics and Electrical Drives

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Prof. Dr. Wilhelm Dangelmaier

Department 3: Information Systems

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Prof. Dr. Michael Dellnitz

Chair of Applied Mathematics

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Dr. Norbert Fröhleke

Power Electronics and Electrical Drives

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Prof. Dr. Jürgen Gausemeier

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Dr.-Ing. Tobias Hemsel

Dynamics and Mechatronics (LDM)

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Prof. Dr. Franz-Josef Rammig

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Prof. Dr. Ulrich Rückert

System and Circuit Technology / Heinz Nixdorf Institut

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Prof. Dr. Wilhelm Schäfer

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Prof. Dr.-Ing. habil. Ansgar Trächtler

Regelungstechnik und Mechatronik / Heinz Nixdorf Institut

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Prof. Dr. Heike Wehrheim

Specification and Modelling of Software Systems

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Prof. Dr.-Ing. Detmar Zimmer

Design and Drive Technology (KAt)

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Prof. Dr. Sina Ober-Blöbaum

Numerical Mathematics and Control

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Prof. Dr.-Ing. habil. Walter Sextro

Dynamics and Mechatronics (LDM)

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Prof. Dr.-Ing. J. Christoph Scheytt

System and Circuit Technology / Heinz Nixdorf Institut

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Mario Porrmann

Universität Osnabrück

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