A linked-scale coupled model of mass erosion and redistribution in plasma-exposed micro-foam surfaces
Source abstract
Abstract
Abstract Surface evolution due to exposure to harsh environments is of importance in many scientific and technological applications. In plasma-exposed materials, the surface receives charged particles from the plasma, leading to a series of processes that drive the system far from equilibrium and may lead to the severe deterioration of the surface properties. Although surface morphological changes are driven by atomic collisions taking place over picoseconds and nanometers, these processes result in mass loss and redistribution of matter over much larger length and time scales. This necessitates a multi-scale approach capable of capturing the range of processes linking primary atomic collision events with engineering-level surface geometry changes. In this paper, we develop a computational model to simulate the morphological evolution and effective erosion rate of micro-architected tungsten foams during low-energy plasma ion bombardment. The model acts on several length scales, with the energy and angular dependence of the sputtering yield of flat tungsten surfaces determined using the SRIM code based on the binary collision approximation. This information is introduced into a low-fluence, short-term Monte Carlo raytracing model, and further into a high-fluence, long-term particle transport model. In the latter, material particles representing billions of atoms are described in a digitized 3-D representation of the foam structure from X-ray tomography data, and are sputtered off and redeposited using the atomistic information. We show that the redeposition of sputtered atoms leads to partial self-healing in the bottom layers with a sharp reduction in the sputtering coefficient of low density foams, roughly 25% of the solid W value. This is in qualitative agreement with recent experiments on low porosity W structures. At high fluence, the foam structure degrades considerably as there are fewer ligaments available to recapture sputtered atoms and, consequently, the sputtering rate increases again.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Ion-surface interactions and analysis · Fusion materials and technologies · Metal and Thin Film Mechanics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (57)
Show source-provided references
1. Electric propulsion for satellites and spacecraft: established technologies and novel approaches10.1088/0963-0252/25/3/033002 ↗
2. Recent progress and perspectives of space electric propulsion systems based on smart nanomaterials10.1038/s41467-017-02269-7 ↗
3. Goebel · 2008 · vol. 1
4. Design, fabrication and testing of 30-cm dia. dished carbon-carbon ion engine grids
5. Development of a high performance RF-ion thruster
6. Ion engine grids: function, main parameters, issues, configurations, geometries, materials and fabrication methods10.1016/j.cja.2018.06.005 ↗
7. Low energy sputtering of mo surfaces10.1016/j.jnucmat.2020.152274 ↗
8. G.C. Soulas, The Impact of Back-Sputtered Carbon on the Accelerator Grid Wear Rates of the NEXT and NSTAR ion thrusters, NASA Report, NASA/TM-2013-216605.
9. Lifetime assessment of the next ion thruster
10. Instability, collapse, and oscillation of sheaths caused by secondary electron emission10.1063/1.4773195 ↗
11. Effect of secondary electron emission on the plasma sheath10.1063/1.4914854 ↗
12. Sputtering of a metal nanofoam by Au ions10.1016/j.nimb.2014.10.005 ↗
13. Calculation of secondary electron emission yields from low-energy electron deposition in tungsten surfaces10.1016/j.apsusc.2018.04.155 ↗
14. Monte Carlo raytracing method for calculating secondary electron emission from micro-architected surfaces10.1016/j.apsusc.2019.01.089 ↗
15. Monte Carlo modeling of low-energy electron-induced secondary electron emission yields in micro-architected boron nitride surfaces10.1016/j.nimb.2019.05.079 ↗
16. Fluence-dependent sputtering yield of micro-architectured materials10.1016/j.apsusc.2017.02.140 ↗
17. Sputtering of molybdenum and tungsten nano rods and nodules irradiated with 150 eV argon ions10.1016/j.apsusc.2014.12.201 ↗
18. Y. Raitses, D. Staack, A. Dunaevsky, N.J. Fisch, Operation of a segmented Hall thruster with low-sputtering carbon-velvet electrodes, 2006.10.2172/934607 ↗
19. A. Ottaviano, C. Jin, Y. Raitses, S. Banerjee, Characterization of secondary electron emission yield from velvet-type materials, 35th International Electric Propulsion Conference Georgia Institute of Technology, Atlanta, Georgia, USA(2017).
20. Electron emission from carbon velvet due to incident xenon ions10.1063/1.5037200 ↗
21. Secondary electron emission from reticulated cellular copper surfaces10.1063/5.0015528 ↗
22. Electron emission from nano-and micro-engineered materials relevant to electric propulsion
23. Sputtering of nanostructured tungsten and comparison to modelling with tri3dyn10.1016/j.jnucmat.2020.152019 ↗
24. In situ plasma sputtering and angular distribution measurements for structured molybdenum surfaces10.1088/1361-6595/aa6a7d ↗
25. Patino · 2017
26. SRIM–the stopping and range of ions in matter (2010)10.1016/j.nimb.2010.02.091 ↗
27. Experimental and modeling studies of low energy ion sputtering in ion thrusters
28. Evaluation of the threshold displacement energy in tungsten by molecular dynamics calculations10.1016/j.jnucmat.2017.08.019 ↗
29. Sputtering yields for low energy He+-, Kr+-, and Xe+-ion bombardment10.1063/1.1728843 ↗
30. Sputtering yields at very low bombarding ion energies10.1063/1.1728959 ↗
31. Energy transfer to a tungsten lattice by ion bombardment10.1103/PhysRevB.10.55 ↗
32. Low-energy sputtering yields of tungsten and tantalum10.1116/1.2110385 ↗
33. Sputter yields of Mo, Ti, W, Al, Ag under xenon ion incidence10.1140/epjd/e2010-10553-8 ↗
34. Behrisch · 2007 · vol. 110
35. Distilling free-form natural laws from experimental data10.1126/science.1165893 ↗
36. M. Schmidt, H. Lipson, Eureqa (version 0.98 beta)[software], Nutonian, Somerville, Mass, USA(2013).
37. Angular and velocity distributions of tungsten sputtered by low energy argon ions10.1016/j.jnucmat.2017.09.021 ↗
38. Molybdenum angular sputtering distribution under low energy xenon ion bombardment10.1063/1.2336502 ↗
39. Ultramet, Ceramic and metal foams, 2013. [Online; accessed April 24, 2020], https://ultramet.com/refractory-open-cell-foams/ceramic-and-metal-foams/.
40. Surface simplification using multi-edge mesh collapse
41. Fast, minimum storage ray-triangle intersection10.1080/10867651.1997.10487468 ↗
42. Graph visualization and navigation in information visualization: a survey10.1109/2945.841119 ↗
43. Meshlab: an open-source mesh processing tool
44. Reproducing kernel particle methods10.1002/fld.1650200824 ↗
45. Why particle methods work10.1137/0903027 ↗
46. Particle methods for multiscale simulation of complex flows10.1360/04wb0108 ↗
47. Multiscale flow simulations using particles10.1146/annurev.fluid.37.061903.175753 ↗
48. System and method of drawing anti-aliased lines using a modified Bresenham line-drawing algorithm
49. Modeling and analysis of surface roughness effects on sputtering, reflection and sputtered particle transport10.1016/0022-3115(90)90060-Z ↗
50. The effects of surface roughness characterized by fractal geometry on sputtering10.1016/0168-583X(90)90019-Q ↗
51. Sputtering properties of tungsten fuzzy surfaces10.1016/j.jnucmat.2010.12.017 ↗
52. BPT-4000 Hall thruster discharge chamber erosion model comparison with qualification life test data
53. Simulating plasma-induced Hall thruster wall erosion with a two-dimensional hybrid model10.1109/TPS.2007.905943 ↗
54. J.T. Yim, Computational modeling of Hall thruster channel wall erosion. (2008).
55. Molecular dynamics simulation of low-energy sputtering of molybdenum with xenon ions
56. Computation of total and differential sputter yields of boron nitride using molecular dynamics
57. Molecular dynamics investigation of hexagonal boron nitride sputtering and sputtered particle characteristics10.1063/1.4958869 ↗