Optimization of the Catalytic Chemical Vapor Deposition Synthesis of Multiwall Carbon Nanotubes on FeCo(Ni)/SiO2 Aerogel Catalysts by Statistical Design of Experiments

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• 作者：La虂szlo虂 Vanyorek ; Danilo Loche ; Hajnalka Katona ; Maria Francesca Casula ; Anna Corrias ; Zolta虂n Ko虂nya ; A虂kos Kukovecz ; Imre Kiricsi
• 刊名：Journal of Physical Chemistry C
• 出版年：2011
• 出版时间：April 7, 2011
• 年：2011
• 卷：115
• 期：13
• 页码：5894-5902
• 全文大小：1071K
• 年卷期：v.115,no.13(April 7, 2011)
• ISSN：1932-7455

文摘

We report on optimizing the catalytic chemical vapor deposition synthesis of multiwall carbon nanotubes (MWCNTs) from ethene over supported transition metal SiO₂ nanocomposite aerogels using the statistical design of experiments (DOE) approach. DOE allowed us to test 19 different catalysts in a total of 49 reactions instead of testing 27 catalysts in 729 runs as required by a three-level full factorial design. Both catalyst-related and process-related variables were optimized; in particular varied parameters were Fe + Co loading, Fe/Co ratio, Ni loading, C₂H₄ flow rate, temperature, and duration of the reaction. The results of the optimization indicate that a good catalyst should contain a high overall loading (10 wt %) of iron and cobalt in similar amount, should be free of nickel and should be operated at a relatively low temperature (650鈭?00 掳C) at high carbon source space velocity for optimum performance. The uniqueness of this work is that we demonstrated that catalyst-related and process-related variables can be optimized simultaneously in the DOE of MWCNT synthesis.