CMI Project 2.1.13: Finite element modeling of magnetic and electrochemical systems

News & Highlights

All News | All Highlights

3D Microstructure of Sm-Co magnet with 1 vol.% MgO particles (yellow particles).

Research Highlight

Modeling mechanical properties in Sm-Co magnets

FEM vs. Microstructural model, showing the stress-strain relationship to be accurately captured by the computationally less intensive FEM model. This allows for very rapid assessments of mechanical properties of novel architectures.

Research Highlight

Finite Element Model for mechanical properties of SmCo5

Capacity gain vs. relative tortuosity. Note the more than 25% gain at low tortuosity for the high charging rate 4C.

Research Highlight

Magnetically aligned electrodes predicted to increase lithium-ion battery capacity by as much as 25%

Depiction of the magnetic-field aligning permanent magnet-producing apparatus, side view.

Research Highlight

Functionalizing magnet additive manufacturing systems with in-situ magnetic field source

Research Highlight

Predicting mechanical performance of Sm-Co magnets

Project Team

Principal Researchers

Cajetan Nlebedim

nlebedim@ameslab.gov

Ikenna Nlebedim at Ames Laboratory leads the CMI project "Finite element modeling of magnetic and electrochemical systems"

Project Description: To bridge the gap between laboratory experiments and performance of materials in a system. It helps experimental efforts to see past properties measured in laboratories and understand the necessary optimizations for finding the market niche for materials developed, optimized or recycled in the CMI. As needed for a given material, the project incorporates different physics (e.g., magnetic, mechanical, and thermal) and their coupled interactions to determine the suitability of the material for any given application. The feedback from the project to experimental efforts is useful for engaging with potential industrial partners or technology licensees. Technology: Properties of materials developed by CMI will be obtained and modelled to determine system performance in critical applications where the materials are used. System design changes will be developed to take advantage of the material properties to enhance performance and/or reduce the use of critical materials.