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1. Introduction Click to copy section linkSection link copied! Ferrites or ferrimagnetic oxides (MeO·Fe2O3, Me = Mn, Fe, Co, Ni, Zn, etc.) underpin many high-frequency magnetic components such as inductors, transformers, and coupled electronic devices because their large resistivity, tunable ferrimagnetism, and chemical robustness mitigate conduction losses while sustaining useful permeability at higher switching frequencies and elevated operating temperatures.
Abstract The large amount of strain combined with high temperature during Friction Stir Welding and Processing (FSWP) results in dynamic recrystallization and grain growth. The final properties of the processed material depend on the recrystallized grain structure. The ability to predict recrystallized microstructural features would take the FSWP modeling efforts one step closer to estimating the final weld mechanical properties.
Martensitic phase transformation of zirconia (ZrO2), when realized from the superelastic effect, has immense potential in energy applications, such as micro-actuation and high-energy dissipation/damping. In this study, martensitic transformation in ZrO2 is studied using a newly developed microscale phase field model, which is scale-independent and contains an averaged gradient term. The model is implemented using the FEniCS package in Python.
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