CFD prediction of carbon nanotube production rate in a CVD reactor

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

doi:10.1016/j.cplett.2004.01.124

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 journal › Article › peer-review

78 Scopus citations

Abstract

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 language	English
Pages (from-to)	307-311
Number of pages	5
Journal	Chemical Physics Letters
Volume	387
Issue number	4-6
DOIs	https://doi.org/10.1016/j.cplett.2004.01.124
State	Published - Apr 1 2004

Bibliographical note

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

Funding

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

Funders	Funder number
Materials Research Science and Engineering Center, Harvard University	DMR-9809686

ASJC Scopus subject areas

General Physics and Astronomy
Physical and Theoretical Chemistry

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10.1016/j.cplett.2004.01.124

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title = "CFD prediction of carbon nanotube production rate in a CVD reactor",

abstract = "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.",

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AU - Endo, Hajime

AU - Kuwana, Kazunori

AU - Saito, Kozo

AU - Qian, Dali

AU - Andrews, Rodney

AU - Grulke, Eric A.

N1 - Funding Information: This work was funded by NSF MRSEC Grant DMR-9809686.

PY - 2004/4/1

Y1 - 2004/4/1

N2 - 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.

AB - 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.

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SP - 307

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JO - Chemical Physics Letters

JF - Chemical Physics Letters

IS - 4-6

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CFD prediction of carbon nanotube production rate in a CVD reactor

Abstract

Bibliographical note

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