| About this Abstract |
| Meeting |
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
| Symposium
|
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
| Presentation Title |
Multiscale Material Modeling of Laser Powder Bed Fusion Additive Manufacturing Soft Magnetic Composites |
| Author(s) |
Li Ma, Caleb Andrew, Ryan Carter, Mitra Taheri, Joe Sopcisak |
| On-Site Speaker (Planned) |
Li Ma |
| Abstract Scope |
Soft magnetic composites (SMCs), which provide high electrical resistivity with high magnetic permeability, have the potential to create lighter and more efficient electronic devices. With the increasing complexity of these devices, conventional manufacturing methods limited their application. Recent advances in multi-material Laser Powder Bed Fusion (L-PBF) Additive Manufacturing (AM) have enabled the production of more complex SMCs. Our prior research has demonstrated that the as-built L-PBF sample with multi-material system incorporating NiZnCu-ferrite and high purity iron showed high maximum relative permeability. However, it is challenge to produce fully dense SMCs without defects. To improve the magnetic properties and reduce defects within the multi-material system, we develop the multiscale material modeling of L-PBF NiZnCu-ferrite soft magnetic composites. Mean field homogenization method is applied for two material system. The effect of various composition and scanning parameters on the melting pool size is studied. The computational results are compared with L-PBF experimental results. |
| Proceedings Inclusion? |
Undecided |