Fatigue strength database for plastics

Foundation for Design, Material Selection, and Service Life Prediction

In the “Fatigue Strength Database for Thermoplastics,” we bring together over three decades of experience to create a unique foundation for design, material selection, and service life prediction. The database identifies relationships between material, geometry, external influences, and loading, making this information immediately usable for development and validation.

The database comprises more than 11,000 tested specimens and 1,300 Wöhler curves. It covers engineering thermoplastics from various manufacturers, different additive formulations, conditioning states, varied specimen geometries, environmental influences, and mechanical loads. Standardized test documentation and evaluation ensure high comparability and direct transferability to simulation and design routines.

Data-Driven Insights for Efficient and Reliable Plastic Designs

Key Findings: The notch effect increases significantly with rising cycle life and is influenced exclusively by the glass transition temperature. Sharper notches result in steeper Wöhler curves and thus a faster decline in strength. In industrial practice, this knowledge enables targeted material selection and the development of streamlined test matrices, which reduces development time and costs while increasing reliability and accelerating time-to-market.

We are continuously expanding our database and evaluating data-driven models to predict the effects of notches and temperature. With additional material classes and application-specific load sets, design guidelines are further refined - for more robust plastic structures, lower risk of failure, and more efficient development processes - backed by the largest fatigue strength database of its kind.

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From Research to Your Application

More robust plastic designs, lower risk of failure, and more efficient development processes.

 

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Research & Development

Scientific and Technological Priorities

  • Analysis and evaluation of components and materials

Department Engineered Materials and Components

  • Reliability engineering for systems

Department System Reliability

  • Understanding and accurately evaluating material properties

Department Material Analytics

 

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Model-Based Research and Development

 

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Digital Twins & Simulation

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