| About this Abstract |
| Meeting |
2023 TMS Annual Meeting & Exhibition
|
| Symposium
|
Advanced Characterization Techniques for Quantifying and Modeling Deformation
|
| Presentation Title |
Surface Roughness in Polycrystalline Copper under Cyclic Thermal Loading: FFT-based Thermomechanical Modelling with Experimental Verification for Accelerator Applications |
| Author(s) |
Zhangxi Feng, Miroslav Zecevic, Rodney McCabe, Daniel Hooks, Marko Knezevic, Ricardo Lebensohn |
| On-Site Speaker (Planned) |
Zhangxi Feng |
| Abstract Scope |
During normal operations, accelerator cavities—made of a polycrystalline metal with extremely flat surfaces— experience pulsed heating due to radio-frequency loss, which induces surface temperature rises of about 50 K per heating cycle at a frequency of 60 Hz. This ultra-high-cycle thermal loading results in the development of surface roughness that affects the surface currents and eventually limits the operando lifetime of these cavities. A large-strain thermo-elasto-viscoplastic Fast Fourier Transform (LS-TEVPFFT) formulation [1] has been coupled with the solution for heat conduction, adding thermo-mechanical effects that enable microstructure-sensitive predictions of surface roughness in polycrystalline copper under high-cycle thermal loading. The new capabilities of the model are demonstrated via the comparison between predictions and cyclic heating experiments followed by roughness measurements by Atomic Force Microscopy (AFM).
[1] M. Zecevic, R.A. Lebensohn and L. Capolungo "New large-strain Fast Fourier Transform-based formulation..."(2022). |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Computational Materials Science & Engineering, Copper / Nickel / Cobalt, Modeling and Simulation |