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Research

Current research topics and projects

Digitalization in industry and transport

Rail4Future

A train running on a track in digital environment.

© voestalpine Railway Systems

Railway for Future: Resilient Digital Railway Systems to enhance performance
Keywords: Large Scale Simulation; Digital Twin; Turnout & Tracks; Bridge & Tunnel; Predictive Analytics; Hybrid Modeling;

Digital Teaching and Training

CResDET

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© Hatice EROL auf Pixabay

Crisis-Resistant Digital Education and Training
Keywords: Digital Education; Crisis Management; Online Training  

Perspective

The rapid technological progress of information and communication technology and the dawn of the fourth industrial revolution require a rethink in the development, manufacture and use of modern systems. In order to be successful on the market, future products will have to fulfill increasingly complex functions, the development of which requires knowledge from the fields of mechanical engineering, electrical engineering and computer science. So-called intelligent or smart systems require coordinated methods, processes and IT procedures of virtual product development as well as the efficient management of information throughout the entire product life cycle. In this context, the research group Virtual Product Development is characterized by a strong focus on industrial use cases, a fact that is also reflected in the research profile.

Research fields MIVP Tempel (PNG)

Research fields MIVP Tempel (PNG)

The Virtual Product Development subject field is concerned with the computer-aided, model-based representation and description of complex technical systems, including their properties and behavior.

The Industrial Information Systems in Product Creation subject field is concerned with the integration and optimization of IT processes for cross-domain and multidisciplinary product information management. A special focus is on system modeling and the information technology integration of product development, production system development and production (PDM, PLM, and others).

The Industrial Machine Learning subject field deals with the development and optimization of intelligent algorithms for industrial use cases. This enables the generation of knowledge from existing data over the entire product life cycle as well as the support and automation of production processes and business decisions.