Machine Elements and Component Testing

Research focus in the field of component testing

The research group "Component Testing" pursues the goal of developing methods for the sustainable design of products as well as efficient production and development processes. In current research projects, we focus on the use of recycling-optimized material systems and the development of structure-optimized and function-integrating lightweight components. Simultaneously, we develop lifetime prediction systems for polymer components in order to support sustainable product design and shorten product development times.

The research group works closely with industry and research partners to develop technical solutions for practical challenges which promote resource efficiency and optimize product development processes. To achieve this goal, we use the latest methods from the fields of simulation, measurement and testing technology to investigate structural properties and behavior in stressed conditions.

Current Research Topics

Elastomer-based strain decoupling for performance enhancement of fiber composite components

Performance enhancement of fiber composite components by optimizing stress
distribution via elastomer-based strain decoupling.

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User-oriented service life prediction system for dynamically stressed elastomer components

Development of a service life prediction system for dynamically loaded elastomer components.

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Online service life prediction of elastomer couplings

Development of a predictive maintenance system by forming online characteristics from low-budget sensor technology to measure torque and the resulting torsional angle.

Potential analysis of thermoplastic elastomers (TPE) for flexible couplings

The production of flexible couplings with elastomers is very energy-intensive. The substitutability of elastomers with TPE is investigated against the background of the higher efficiency, recyclability and process reliability of TPE.

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Lifetime prediction for fiber-reinforced plastics.

Development of a service life prediction model for continuous fiber reinforced plastics considering material stress, fiber orientation, stress ratio and sequence influence.