期刊
CATALYSTS
卷 12, 期 3, 页码 -出版社
MDPI
DOI: 10.3390/catal12030287
关键词
FC-CVD; floating catalyst chemical vapor deposition; carbon nanotubes; aerogel; direct spinning; yield; metallocene; ferrocene; nickelocene; cobaltocene; sulfur; iron; nickel; cobalt
资金
- Office of Naval Research
- UC Accelerator for Commercialization Project
- National Institute for Occupational Safety and Health through the Pilot Research Project Training Program of the University of Cincinnati Education and Research Center Grant [T42OH008432]
This study investigates the synthesis of carbon nanotube (CNT) sheet using high temperature floating catalyst chemical vapor deposition (FC-CVD) method. Various combinations of metallocenes are used as precursors for metal catalysts, enabling the tailoring of properties of the CNT sheet. The multi-catalyst method reduces impurities but increases structural defects in the CNTs.
This work studies synthesis of carbon nanotube (CNT) sheet using the high temperature (1400 degrees C) floating catalyst chemical vapor deposition (FC-CVD) method. Three metallocenes-ferrocene, nickelocene, cobaltocene-and their combinations are used as precursors for metal catalysts in the synthesis process. For the carbon source, an alcohol fuel, a combination of methanol and n-hexane (9:1), is used. First, the metallocenes were dissolved in the alcohol fuel. Then, the fuel mixture was injected into a tube furnace using an ultrasonic atomizer with Ar/H-2 carrier gas in a ratio of about 12/1. The synthesis of CNTs from a combination of two or three metallocenes reduces the percentage of metal catalyst impurity in the CNT sheet. However, there is an increase in structural defects in the CNTs when using mixtures of two or three metallocenes as catalysts. Furthermore, the specific electrical conductivity of the CNT sheet was highest when using a mixture of ferrocene and cobaltocene as the catalyst. Overall, the multi-catalyst method described enables tailoring certain properties of the CNT sheet. However, the standard ferrocene catalyst seems most appropriate for large-scale manufacturing at the lowest cost.
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