Home Mathematical Modeling of Carbon Nanotubes Formation in Fluidized Bed Chemical Vapor Deposition
Article
Licensed
Unlicensed Requires Authentication

Mathematical Modeling of Carbon Nanotubes Formation in Fluidized Bed Chemical Vapor Deposition

  • Firoozeh Danafar EMAIL logo , Said S. Elnashaie , Hassan Hashemipour and Mohammad Ali Rostamizadeh
Published/Copyright: November 11, 2016

Abstract

This study investigates mathematical modeling of carbon nanotubes (CNTs) formation on catalyst particulate in a fluidized bed chemical vapor deposition (FBCVD) reactor. The mass of CNTs formed corresponds to the catalyst activity directly. The catalyst deactivation occurs as active sites are occupied by CNTs and thus causes unsteady state behavior of the process. The effects of catalyst loading (as bed height) as well as reaction temperature on the reaction progressing were investigated. The model, validated with our experimental data, indicates a good accuracy to predict the yield of CNTs formation for a given operating conditions. The model presented also can predict the optimized time as well as the suitable amount of catalyst loading to produce CNTs for a given reactor conditions.

Acknowledgements

The authors gratefully acknowledge the Shahid Bahonar University of Kerman and Universiti Putra Malaysia for their support.

Nomenclature

A

cross section area of reactor

Ar

dimensionless number

CETH

concentration of ethanol (mol/m3)

db

bubble diameter (m)

DEA

diffusivity of ethanol vapor in argon (m2/s)

DEM

diffusivity of ethanol vapor in gas mixture (m2/s)

E

activation energy (kJ/mol)

g

gravitational acceleration (m/s2)

H

height of active part in the reactor or bed height of fluidized bed (m)

Hmf

height of fluidized bed at minimum fluidization velocity (m)

k0

pre-exponential kinetic constant (1/s)

Kbd

overall mass transfer coefficient between dense phase and bubble phase (1/s).

MAr

molecular weight of argon (g/mol)

METH

molecular weight of ethanol (g/mol)

NAvo

Avogadro number

nC

moles of carbon formed by the reaction (mol)

NC-CNT

number of carbon atoms involved in formation of one CNT (dimensionless)

nETH

molar rate of ethanol conversion (mol/s)

NuCatm

rate of carbon atoms formation (1/s)

P

pressure (Pa)

qB

volumetric flow rate of stream in bubble phase (m3/s)

qD

volumetric flow rate of stream in dense phase (m3/s)

qmf

volumetric flow rate of stream corresponding to minimum fluidization velocity (m3/s)

R

perfect gas constant (J/mol. K)

rETH

rate of cracking reaction of Ethanol converted to CNT (mol./m3s)

T

temperature (K)

Ub

rising velocity of bubble (m/s)

UF

feed superficial gas velocity (m/s)

Umf

minimum fluidization velocity (m/s)

xETH

mole fraction of ethanol (dimensionless)

xAr

mole fraction of argon (dimensionless)

α0

initial numbers of active sites (dimensionless)

γ

numbers of active sites covered by CNTs (dimensionless).

δ

fractional volume of bubbles (dimensionless)

εd

dense-phase voidage (dimensionless)

εmf

dense-phase voidage at minimum fluidization velocity (dimensionless)

ρf

density of fluids (kg/m3)

ρP

density of particulates (kg/m3)

ψ

parameter of dimensionless catalyst activity (dimensionless)

vAr

specific molar volume of argon (m3/mol)

vETH

specific molar volume of ethanol (m3/mol)

Subscripts
B

Bubble phase

D

Dense phase

F

Feed

ETH

Ethanol

Ar

Argon

References

1. 1. Conroy, D., Moisala, A., Cardoso, S., Windle, A., Davidson, J., 2010. Carbon nanotube reactor: Ferrocene decomposition, iron particle growth, nanotube aggregation and scale-up. Chemical Engineering Science 65, 2965–2977.10.1016/j.ces.2010.01.019Search in Google Scholar

2. 2. Danafar, F., Fakhru’l-Razi, A., Mohd Salleh, M.A., Awang Biak, D.R., 2009. Fluidized bed catalytic chemical vapor deposition synthesis of carbon nanotubes – a review. Chemical Engineering Journal 155, 37–48.10.1016/j.cej.2009.07.052Search in Google Scholar

3. 3. Danafar, F., Fakhru’l-Razi, A., Mohd Salleh, M.A., Awang Biak, D.R., 2011. Influence of catalytic particle size on the performance of fluidized-bed chemical vapor deposition synthesis of carbon nanotubes. Chemical Engineering Research and Design 89, 214–223.10.1016/j.cherd.2010.05.004Search in Google Scholar

4. 4. Dasgupta, K., Joshi, J.B., Banerjee, S., 2011. Fluidized bed synthesis of carbon nanotubes – a review. Chemical Engineering Journal 171, 841–869.10.1016/j.cej.2011.05.038Search in Google Scholar

5. 5. Dasgupta, K., Joshi, J.B., Singh, H., Banerjee, S., 2014. Fluidized bed synthesis of carbon nanotubes: Reaction mechanism, rate controlling step and overall rate of reaction. AIChE Journal 60, 2882–2892.10.1002/aic.14482Search in Google Scholar

6. 6. Dupuis, A.-C., 2005. The catalyst in the CCVD of carbon nanotubes – a review. Progress in Materials Science 50, 929–961.10.1016/j.pmatsci.2005.04.003Search in Google Scholar

7. 7. Fakhru’l-Razi, A., Danafar, F., Dayang Radiah, A.B., Mohd Salleh, M.A., 2009. An innovative procedure for large-scale synthesis of carbon nanotubes by fluidized bed catalytic vapor deposition technique. Fullerenes, Nanotubes and Carbon Nanostructures 17, 652–663.10.1080/15363830903291705Search in Google Scholar

8. 8. Kunii, D., Levenspiel, O., 2013. Fluidization Engineering. Elsevier, USA.Search in Google Scholar

9. 9. Kwok, C.T.M., Reizman, B.J., Agnew, D.E., Sandhu, G.S., Weistroffer, J., Strano, M.S., Seebauer, E.G., 2010. Temperature and time dependence study of single-walled carbon nanotube growth by catalytic chemical vapor deposition. Carbon 48, 1279–1288.10.1016/j.carbon.2009.11.053Search in Google Scholar

10. 10. MacKenzie, K.J., Dunens, O.M., Harris, A.T., 2010. An updated review of synthesis parameters and growth mechanisms for carbon nanotubes in fluidized beds. Industrial & Engineering Chemistry Research 49, 5323–5338.10.1021/ie9019787Search in Google Scholar

11. 11. Pirard, S.L., Pirard, J.-P., Bossuot, C., 2009. Modeling of a continuous rotary reactor for carbon nanotube synthesis by catalytic chemical vapor deposition. AIChE Journal 55, 675–686.10.1002/aic.11755Search in Google Scholar

12. 12. Raji, K., Thomas, S., Sobhan, C.B., 2011. A chemical kinetic model for chemical vapor deposition of carbon nanotubes. Applied Surface Science 257, 10562–10570.10.1016/j.apsusc.2011.07.051Search in Google Scholar

13. 13. Simate, G.S., Moothi, K., Meyyappan, M., Iyuke, S.E., Ndlovu, S., Falcon, R., Heydenrych, M., 2014. Kinetic model of carbon nanotube production from carbon dioxide in a floating catalytic chemical vapour deposition reactor. RSC Advances 4, 9564–9572.10.1039/c3ra47163bSearch in Google Scholar

14. 14. Voelskow, K., Becker, M.J., Xia, W., Muhler, M., Turek, T., 2014. The influence of kinetics, mass transfer and catalyst deactivation on the growth rate of multiwalled carbon nanotubes from ethene on a cobalt-based catalyst. Chemical Engineering Journal 244, 68–74.10.1016/j.cej.2014.01.024Search in Google Scholar

15. 15. Yang, W.-C. (Ed.), 2003. Handbook of Fluidization and Fluid-Particle Systems, CRC press.10.1201/9780203912744Search in Google Scholar

16. 16. Ying, L.S., Amran bin Mohd Salleh, M., Abdul Rashid, S.B., 2011. Continuous production of carbon nanotubes – a review. Journal of Industrial and Engineering Chemistry 17, 367–376.10.1016/j.jiec.2011.05.007Search in Google Scholar

Published Online: 2016-11-11
Published in Print: 2017-04-01

© 2017 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Articles
  2. Genetic Programming based Drag Model with Improved Prediction Accuracy for Fluidization Systems
  3. Catalytic Photodegradation of Rhodamine B in the Presence of Natural Iron Oxide and Oxalic Acid under Artificial and Sunlight Radiation
  4. Esterification of Lauric Acid with Glycerol in the Presence of STA/MCM-41 Catalysts
  5. Existence of Synergistic Effects During Co-pyrolysis of Petroleum Coke and Wood Pellet
  6. Photocatalytic Treatment of Binary Mixture of Dyes using UV/TiO2 Process: Calibration, Modeling, Optimization and Mineralization Study
  7. Aqueous Phase Biosorption of Pb(II), Cu(II), and Cd(II) onto Cabbage Leaves Powder
  8. Design and Simulation of a Chaotic Micromixer with Diamond-Like Micropillar Based on Artificial Neural Network
  9. Experimentally Validated CFD Model for Gas-Liquid Flow in a Round-Bottom Stirred Tank Equipped with Rushton Turbine
  10. Pyrolysis Products Characterization and Dynamic Behaviors of Hydrothermally Treated Lignite
  11. Pd/ZrO2: An Efficient Catalyst for Liquid Phase Oxidation of Toluene in Solvent Free Conditions
  12. Micro-reactor for Non-catalyzed Esterification Reaction: Performance and Modeling
  13. Mathematical Modeling of Carbon Nanotubes Formation in Fluidized Bed Chemical Vapor Deposition
  14. Electrogeneration of Active Chlorine in a Filter-Press-Type Reactor Using a New Sb2O5 Doped Ti/RuO2-ZrO2 Electrode: Indirect Indigoid Dye Oxidation
  15. Adsorptive Removal of As(III) from Aqueous Solution by Raw Coconut Husk and Iron Impregnated Coconut Husk: Kinetics and Equilibrium Analyses
  16. Synthesis and Optical Properties of Sb-Doped CdS Photocatalysts and Their Use in Methylene Blue (MB) Degradation
Downloaded on 16.11.2025 from https://www.degruyterbrill.com/document/doi/10.1515/ijcre-2016-0081/pdf
Scroll to top button