Quantitative imaging of carbon dimer precursor for nanomaterial synthesis in the carbon arc
Abstract
Delineating the dominant processes responsible for nanomaterial synthesis in a plasma environment requires measurements of the precursor species contributing to the growth of nanostructures. Here, we performed comprehensive measurements of spatial and temporal profiles of carbon dimers (C2) in sub-atmospheric-pressure carbon arc by laser-induced fluorescence. Measured spatial profiles of C2 coincide with the growth region of carbon nanotubes (Fang et al 2016 Carbon 107 273–80) and vary depending on the arc operation mode, which is determined by the discharge current and the ablation rate of the graphite anode. The C2 density profile exhibits large spatial and time variations due to motion of the arc core. A comparison of the experimental data with the 2D simulation results of self-consistent arc modeling shows good agreement. The model predicts well the main processes determining spatial profiles of carbon dimers (C2).
- Authors:
-
- Princeton Plasma Physics Lab. (PPPL), Princeton, NJ (United States)
- Princeton Univ., NJ (United States). Dept. of Chemical and Biological Engineering
- Publication Date:
- Research Org.:
- Princeton Plasma Physics Laboratory (PPPL), Princeton, NJ (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Fusion Energy Sciences (FES); USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22). Materials Sciences & Engineering Division
- OSTI Identifier:
- 1432195
- Grant/Contract Number:
- AC02-09CH11466
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Plasma Sources Science and Technology
- Additional Journal Information:
- Journal Volume: 27; Journal Issue: 2; Journal ID: ISSN 1361-6595
- Publisher:
- IOP Publishing
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 70 PLASMA PHYSICS AND FUSION TECHNOLOGY; arc nanomaterial synthesis; laser induced fluorescence; atmospheric plasma diagnostic; arc discharge
Citation Formats
Vekselman, V., Khrabry, A., Kaganovich, I., Stratton, B., Selinsky, R. S., and Raitses, Y. Quantitative imaging of carbon dimer precursor for nanomaterial synthesis in the carbon arc. United States: N. p., 2018.
Web. doi:10.1088/1361-6595/aaa735.
Vekselman, V., Khrabry, A., Kaganovich, I., Stratton, B., Selinsky, R. S., & Raitses, Y. Quantitative imaging of carbon dimer precursor for nanomaterial synthesis in the carbon arc. United States. https://doi.org/10.1088/1361-6595/aaa735
Vekselman, V., Khrabry, A., Kaganovich, I., Stratton, B., Selinsky, R. S., and Raitses, Y. Tue .
"Quantitative imaging of carbon dimer precursor for nanomaterial synthesis in the carbon arc". United States. https://doi.org/10.1088/1361-6595/aaa735. https://www.osti.gov/servlets/purl/1432195.
@article{osti_1432195,
title = {Quantitative imaging of carbon dimer precursor for nanomaterial synthesis in the carbon arc},
author = {Vekselman, V. and Khrabry, A. and Kaganovich, I. and Stratton, B. and Selinsky, R. S. and Raitses, Y.},
abstractNote = {Delineating the dominant processes responsible for nanomaterial synthesis in a plasma environment requires measurements of the precursor species contributing to the growth of nanostructures. Here, we performed comprehensive measurements of spatial and temporal profiles of carbon dimers (C2) in sub-atmospheric-pressure carbon arc by laser-induced fluorescence. Measured spatial profiles of C2 coincide with the growth region of carbon nanotubes (Fang et al 2016 Carbon 107 273–80) and vary depending on the arc operation mode, which is determined by the discharge current and the ablation rate of the graphite anode. The C2 density profile exhibits large spatial and time variations due to motion of the arc core. A comparison of the experimental data with the 2D simulation results of self-consistent arc modeling shows good agreement. The model predicts well the main processes determining spatial profiles of carbon dimers (C2).},
doi = {10.1088/1361-6595/aaa735},
journal = {Plasma Sources Science and Technology},
number = 2,
volume = 27,
place = {United States},
year = {Tue Feb 06 00:00:00 EST 2018},
month = {Tue Feb 06 00:00:00 EST 2018}
}
Web of Science
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