Hexagon is proud to announce the availability of Digimat 2025.1. Some main highlights of this release include:
- Uncertainty quantification of short fiber reinforced plastics: Digimat introduces an innovative workflow for uncertainty quantification, enabling users to assess how variability in material properties and manufacturing processes affect the structural performance of short fiber reinforced plastic components. By leveraging AI and machine learning, the discovery process is accelerated, significantly reducing the number of simulations needed and allowing real-time exploration of how specific material and manufacturing parameter sets impact structural reliability.
- Fatigue analysis of continuous reinforced plastic components: In the latest two releases of Digimat-MS, significant advancements have been made in the fatigue analysis of continuous fiber reinforced plastics (CFRP). The software now includes comprehensive fatigue analysis for CFRP unidirectional composites incorporating the Gerber model. Additionally, latest functionalities allow for the evaluation of fatigue life in CFRP components modeled with shell elements, further enhancing the tool's capabilities for composite parts analysis.
- Vibrational fatigue analysis: Users can now assess the fatigue life of short fiber reinforced plastic components under vibrational fatigue conditions. By utilizing results from harmonic analysis, Digimat-MS presents both real and imaginary components of strain and stress fields for each frequency. By uploading the desired Digimat material card, users can rapidly calculate a component's lifetime at any given frequency.
- Heat generation and plating in batteries: Digimat now empowers users to predict heat generation during battery operation, crucial for designing effective thermal management systems that keep temperatures within safe limits. The thermo-electrochemical model can evaluate heat production under various electrical loads by taking into account cell design and electrode structure.
- Anisotropic yield surface prediction for metals: This new release offers an automated workflow for swiftly predicting the anisotropic yield surface and Lankford values using crystal plasticity material modeling, a process that is typically challenging to achieve through experimental methods.
- Enhance experimental data with Materials Enrich: From within Digimat-MS, users can efficiently predict tensile curves for short fiber reinforced plastics under new conditions, such as different fiber content and temperatures, using Materials Enrich. This feature allows for the generation of tensile curves that can be seamlessly imported back into Digimat-MS for structural simulations, reducing the need for costly and time-consuming experiments.
Download Digimat 2025.1 from the Software Download Center