A Comparison of Mechanical and Electrical Properties in Hierarchical Composites Prepared using Electrophoretic or Chemical Vapor Deposition of Carbon Nanotubes

MRS Advances ◽  
2016 ◽  
Vol 1 (12) ◽  
pp. 785-790 ◽  
Author(s):  
Andrew N. Rider ◽  
Qi An ◽  
Narelle Brack ◽  
Erik T. Thostenson

ABSTRACTTwo approaches have been employed in the preparation of hierarchical composite laminates with a carbon nanotube (CNT) phase. Glass fibers were coated with CNTs using electrophoretic deposition (EPD) prior to infusion with epoxy resin. The CNTs were functionalized using an ultrasonicated-ozone process followed by reaction with polyethyleneimine (PEI) to enhance CNT to fiber and matrix adhesion. Chemical vapor deposition (CVD) was also used to grow CNTs onto quartz fibers, prior to infusion with an epoxy resin modified with a thermoplastic nanophase. The mechanical performance of the two CNT laminates types were similar, however, the fracture surfaces indicated distinct differences. The EPD laminates showed fracture in the CNT-rich interphase region, whereas, the CVD laminates showed that strength was limited by adhesion failure at the CNT-fiber interface. The electrical conductivity of CVD laminates was 100 times higher than EPD laminates. For the EPD laminates the PEI functionalization increases the CNT-CNT distance resulting in reduced conductivity, while the high CNT packing density and residual iron catalyst on the fiber surface in the CVD laminates creates conducting pathways resulting in higher conductivities.

Author(s):  
M. Esmaieli ◽  
A. Khodadadi ◽  
Y. Mortazavi

In this study we report the effects of support and pretreatment conditions on growth of carbon nanotubes (CNTs) by chemical vapor deposition of methane on iron catalyst supported on MgO, silica or alumina. The iron was impregnated onto the supports, and then the samples were dried, calcined at 550°C and pretreated in either helium or hydrogen up to 1000°C before exposure to methane as a carbon source for CNTs growth. Temperature programmed reduction (TPR) of the fresh catalysts and the ones pre-treated in He and in H2 shows various interactions of the iron with supports at pretreatment conditions. The CNTs are characterized by SEM, Raman, FTIR, and TEM. The IG/ID of Raman spectroscopy are 6.2, 3.8 and 0.7 for the CNTs grown on the MgO, alumina, and silica-supported iron catalysts pretreated in helium, respectively. When the Fe/MgO catalyst is pretreated in hydrogen the IG/ID ratio dramatically reduces to 0.8. A less significant effect of pretreating of the catalysts in hydrogen is observed for silica- and alumina-supported catalysts. RBM peaks of Raman spectra along with TEM results indicate the formation of bundles of 0.8-1.2 nm single-wall as well as multiwall carbon nanotubes on the Fe/MgO catalyst pre-treated in He.


Volume 3 ◽  
2004 ◽  
Author(s):  
Kinghong Kwok ◽  
Wilson K. S. Chiu

An atmospheric-pressure laser-induced chemical vapor deposition (CVD) reactor has been developed that is capable of continuously depositing carbon protective films on moving optical fibers from several hydrocarbon precursors. The relationship between operating parameters and the carbon deposition temperature was investigated experimentally and the results indicate that they are highly dependent on the laser power density and the fiber’s drawing velocity. A computational heat transfer model was developed to calculate the fiber surface temperature during deposition and to provide a deeper understanding of the fundamental principles that govern laser heating and the carbon CVD processes. The surface temperatures obtained from experiments are compared with the calculated temperature in order to validate the numerical model.


RSC Advances ◽  
2018 ◽  
Vol 8 (45) ◽  
pp. 25815-25818 ◽  
Author(s):  
Sook Young Moon ◽  
Woo Sik Kim ◽  
Chung Soo Kim

In this study, we investigated the effect of hydrocarbon species composition on carbon nanotube (CNT) growth using an iron catalyst by chemical vapor deposition.


2010 ◽  
Vol 13 (5) ◽  
pp. 1979-1986 ◽  
Author(s):  
Yongzhen Yang ◽  
Xuguang Liu ◽  
Xingmei Guo ◽  
Hairong Wen ◽  
Bingshe Xu

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