Multiscale Modeling and Simulation Platform for Materials and Life Sciences
J-OCTA
Multiscale Modeling and Simulation Platform for Materials and Life Sciences
J-OCTA
Calculation of pressure and porosity in the forming process (calendaring) of battery electrodes
The discrete element method (DEM), a type of particle method, was used to analyze the pressure distribution and porosity changes during the calendering process of battery electrodes. The influence of forming conditions on electrode structure was quantitatively evaluated, contributing to process design for optimizing battery performance.
Use Cases Highlights
- Compression–extension simulation of solid (powder) layers using the particle method (DEM)
- Capability to analyze porosity
Compression/extension simulation of solid (powder) layers using the particle method (DEM)
An initial particle structure created using the RVE modeler in J-OCTA is shown. Active material and binder are randomly placed with different particle sizes, mimicking the structure of actual electrode materials.
Initial particle structure calculated with the RVE modeler of J-OCTA
Analysis of porosity
A graph showing the relationship between pressure on the upper wall and porosity during elongation is presented. The calculation results by VSOP-PS (blue circles) show good agreement with experimental and computational results from previous studies, confirming the validity of the model.
Relationship between pressure applied to the upper wall and porosity during the elongation process
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Related Information
Solutions
Materials Simulation and Materials Informatics (Automotive)
Materials development through the integration of simulation and data science (Materials DX)
Materials Simulation and Materials Informatics (Mobility)
Materials development through the integration of simulation and data science (Materials DX)
Materials Simulation and Materials Informatics (Electrical Equipment/Precision Equipment/Semiconductors/Heavy Electrical Equipment)
Materials development through the integration of simulation and data science (Materials DX)
