CFD prediction of carbon nanotube production rate in a CVD reactor

Hajime Endo, Kazunori Kuwana, Kozo Saito, Dali Qian, Rodney Andrews, Eric A. Grulke

Research output: Contribution to journalArticlepeer-review

75 Scopus citations


Chemical vapor deposition (CVD) is known as one of the most efficient methods of synthesizing carbon nanotubes. This Letter presents a computational fluid dynamics (CFD) model to predict the production rate of nanotubes via catalytic decomposition of xylene in a CVD reactor. In our model, two gas-phase reactions and four surface reactions were considered. The rate constants of the surface reactions were determined using the inverse technique based on the measured tail gas concentrations. The predicted production rate agreed well with the experimental data, validating our model.

Original languageEnglish
Pages (from-to)307-311
Number of pages5
JournalChemical Physics Letters
Issue number4-6
StatePublished - Apr 1 2004

Bibliographical note

Funding Information:
This work was funded by NSF MRSEC Grant DMR-9809686.

ASJC Scopus subject areas

  • Physics and Astronomy (all)
  • Physical and Theoretical Chemistry


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