Issue |
MATEC Web Conf.
Volume 80, 2016
NUMIFORM 2016: The 12th International Conference on Numerical Methods in Industrial Forming Processes
|
|
---|---|---|
Article Number | 12001 | |
Number of page(s) | 5 | |
Section | MS12: Computational Fluid Dynamics in Material Forming Processes | |
DOI | https://doi.org/10.1051/matecconf/20168012001 | |
Published online | 24 October 2016 |
Simulation of Friction Stir Processing in 304L Stainless Steel
1 Manufacturing Engineering Technology, Brigham Young University, Provo, UT 84602, USA
2 Mechanical Engineering, Brigham Young University, Provo, UT 84602, USA
3 Mines ParisTech, Centre de Mise en Forme des Materiaux (CEMEF), 06904 Sophia-Antipolis Cedex, France
a Corresponding author: mmiles@byu.edu
A major dilemma facing the nuclear industry is repair or replacement of stainless steel reactor components that have been exposed to neutron irradiation. When conventional fusion welding is used for weld repair, the high temperatures and thermal stresses inherent in the process enhance the growth of helium bubbles, causing intergranular cracking in the heat-affected zone (HAZ). Friction stir processing (FSP) has potential as a weld repair technique for irradiated stainless steel, because it operates at much lower temperatures than fusion welding, and is therefore less likely to cause cracking in the HAZ. Numerical simulation of the FSP process in 304L stainless steel was performed using an Eulerian finite element approach. Model input required flow stresses for the large range of strain rates and temperatures inherent in the FSP process. Temperature predictions in three locations adjacent to the stir zone were accurate to within 4% of experimentally measure values. Prediction of recrystallized grain size at a location about 6mm behind the tool center was less accurate, because the empirical model employed for the prediction did not account for grain growth that occurred after deformation in the experiment was halted.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.