EDA MM

Modeling for material development and application in CAE Systems

EDA MM (Material Modelling) allows the creation of material models by processing test data in an integrated system environment.

Challenges and Solutions

How EDA MM addresses modeling challenges

Challenges

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

Solutions

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

Your Requirements

Merging of data and functionalities of the modeling in one system

Our Solutions

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

Benefits of EDA MM

Advantages of using this module

Transparency and Traceability

In the processing of test data

System Support

For complex mathematical calculations

Documentation

And traceability of data creation

Protected Environment

Generation of models for CAE material cards in a protected system instead of using many ‘private’ tools

Integration of Scripts

Integration of existing and heterogeneous scripts and programs into a common standard environment based on Scientific Python

Want to improve your materials modeling processes?

Get in touch to discover how EDA MM can transform your materials modeling and testing workflow.