EDA MM
Modeling for material development and application in CAE Systems
Decription

EDA MM (Material Modelling) allows the creation of material models by processing test data

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Challenges

Merging of data and functionalities of the modeling in one system

Solutions

EDA MM offers many possibilities for data processing, data compression and data reduction through the integration of expandable Scientific Python applications

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Benefits of EDA MM

  1. Transparency and traceability in the processing of test data
  2. System support for complex mathematical calculations
  3. Documentation and traceability of data creation
  4. Generation of models for CAE material cards in a protected system instead of using many "private" tools
  5. Integration of existing and heterogeneous scripts and programs into a common standard environment based on Scientific Python
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Challenges

  1. There are many media breaks in the processing of data, which greatly increases the susceptibility to errors
  2. Table processing programs are often used, for example to perform curve fittings
  3. Data leave the protected space of the information system to be evaluated with external tools

Solutions

  1. Own mathematical functions can be integrated into the system without additional programming and then used for visualization and modeling
  2. Extensive visualization options make it easier to work with multi-dimensional data fields, e.g. Flow curves and ZTU diagrams
  3. Data can be stored in and retrieved from n-dimensional data fields
  4. Constitutive material models can be parameterized
  5. Predefined material models, such as flow curves or phase transformation models, can be modified, extended and parameterized
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