|About this Abstract
||7th World Congress on Integrated Computational Materials Engineering (ICME 2023)
||Smoothed Particle Hydrodynamics Model for Friction Stir Processing of 316 L Stainless Steel: Process Modeling and Microstructure Prediction
||Lei Li, Ayoub Soulami, Donald Todd, Neil Henson, Erin Barker, Eric Smith
|On-Site Speaker (Planned)
Friction stir processing (FSP) is a solid-phase processing technique that provides localized modification and control of microstructures in the processed zones. Numerical models can help predict material deformation and temperature history during FSP that directly relate to microstructural refinement, densification, and homogeneity of the processed zone. This work presents a meshfree smoothed particle hydrodynamics (SPH) model for FSP of 316 L stainless steel using a thermo-elasto-plastic constitutive model and stick-slip tool-workpiece contact approach. The model’s predicted material flow, temperature distribution, and stress-strain state are presented and validated with experimental data. The strain rate and temperature histories obtained from the SPH model are used for predicting Zener-Hollomon parameter and average material grain size. Numerical results on the microscale are also found to agree with experimental observations in the stir zone. This high-fidelity model is feeding results as an input to lower-length scale models and informing the process conditions.