Computational analysis of copper electrodeposition into a porous preform
Source abstract
Abstract
Electroplating of metals into a porous preform with conductive walls is relevant in the fabrication of structural composites, fuel cells and batteries, and microelectronics. Electrodeposition process parameters, such as direct current or pulsed current, electric potential, and electrolyte concentration, as well as preform geometry, have important implications in the process outcomes including the filling process and the percentage of the infiltrated volume. Although electroplating into a vertical interconnect access (with nonconductive walls) for microelectronic applications has been extensively studied, the "flow-through" electroplating into a channel geometry with conducive walls has not been previously investigated. Here, copper infiltration into a such channel has been investigated using computational analysis for the first time. The effects of the inlet flow velocity, potential, electrolyte concentration, and microchannel geometry are systematically studied to quantify their influence on the electrodeposition rate, uniformity of the deposition front, and the infiltrated area within the channel. Computational results revealed that the unfilled area can be reduced to lower than 1% with a low applied potential, a high electrolyte concentration, and no inflow velocity. The results can be used to guide experiments involving electroplating metals into porous preforms toward reliable and reproducible manufacturing processes.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Electrodeposition and Electroless Coatings · Anodic Oxide Films and Nanostructures · Nanoporous metals and alloys
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mechanical Engineering, The University of Texas at Dallas 1 , Richardson, Texas 75080, USA
School for Engineering of Matter, Transport and Energy, Arizona State University 2 , Tempe, Arizona 85287, USA
Funding
US National Science Foundation · US Air Force Office of Scientific Research
References (32)
Show source-provided references
1. ACS Appl. Mater. Interfaces · 2019 · 11 · 436410.1021/acsami.8b18730 ↗
2. Commun. Mater. · 2020 · 1 · 1210.1038/s43246-020-0012-7 ↗
3. Adv. Eng. Mater. · 2018 · 20 · 170078210.1002/adem.201700782 ↗
4. Int. J. Hydrogen Energy · 2016 · 41 · 962710.1016/j.ijhydene.2016.04.061 ↗
5. Electrochim. Acta · 2003 · 48 · 297510.1016/s0013-4686(03)00363-3 ↗
6. IEEE Electr. Insul. Mag. · 2003 · 19 · 2710.1109/mei.2003.1238715 ↗
7. Anal. Chem. · 2005 · 77 · 24310.1021/ac040134l ↗
8. J. Electron. Mater. · 2017 · 46 · 432110.1007/s11664-017-5385-0 ↗
9. Electrochim. Acta · 2013 · 109 · 110.1016/j.electacta.2013.07.122 ↗
10. J. Electrochem. Soc. · 2015 · 162 · D57510.1149/2.0761512jes ↗
11. Electrochim. Acta · 2011 · 56 · 595410.1016/j.electacta.2011.04.109 ↗
12. J. Electrochem. Soc. · 2008 · 155 · D75010.1149/1.2988134 ↗
13. J. Electrochem. Soc. · 2007 · 154 · D50210.1149/1.2761638 ↗
14. Electrochim. Acta · 2008 · 53 · 822810.1016/j.electacta.2008.06.042 ↗
15. J. Electrochem. Soc. · 2008 · 155 · D38310.1149/1.2890413 ↗
16. Adv. Mater. Sci. · 2018 · 3 · 110.15761/ams.1000143 ↗
17. J. Electrochem. Soc. · 2019 · 166 · D52110.1149/2.1241912jes ↗
18. J. Electrochem. Soc. · 2015 · 162 · D54010.1149/2.0671510jes ↗
19. Electrochim. Acta · 2011 · 56 · 826010.1016/j.electacta.2011.06.084 ↗
20. Numerical modeling of the electroplating process for microvia fabrication
21. Comput. Methods Appl. Mech. Eng. · 2004 · 193 · 481910.1016/j.cma.2004.05.003 ↗
22. J. Electrochem. Soc. · 1989 · 136 · 12510.1149/1.2096571 ↗
23. Nano Lett. · 2015 · 15 · 838510.1021/acs.nanolett.5b04225 ↗
24. J. Electrochem. Soc. · 1962 · 109 · 79810.1149/1.2425558 ↗
25. Trans. Faraday Soc. · 1959 · 55 · 158610.1039/tf9595501586 ↗
26. J. Appl. Phys. · 2017 · 121 · 02490310.1063/1.4973622 ↗
27. J. Appl. Phys. · 2017 · 121 · 21430510.1063/1.4984910 ↗
28. ACS Appl. Mater. Interfaces · 2021 · 13 · 1927110.1021/acsami.1c01890 ↗
29. 2011
30. Sci. Rep. · 2019 · 9 · 1903210.1038/s41598-019-55640-7 ↗
31. Nano Lett. · 2018 · 18 · 20810.1021/acs.nanolett.7b03930 ↗
32. Adv. Eng. Mater. · 2019 · 21 · 180094610.1002/adem.201800946 ↗