Abstract
In this study, carbon nanotubes (CNTs) added polyacrylonitrile/polypyrrole (PAN/PPy) electrospun nanofibers were produced. Average diameters of the nanofibers were measured as 268 and 153 nm for 10 and 25 wt% of PPy contents, respectively. A relatively higher strain to failure values (23.3%) were observed for the low PPy content. When as-grown CNTs (1 and 4 wt%) were added into the PAN/PPy blends, disordered nanofibers were observed to form within the microstructure. To improve the interfacial properties of CNTs/PAN/PPy composites, CNTs were functionalized with H2SO4/HNO3/HCl solution. The functionalized CNTs were well dispersed within the nanofibers and aligned along the direction of nanofibers. Therefore, beads formation on nanofibers decreased. The impedance of the nanofibers was found to decrease with the PPy content and CNT addition. These nanofibers had a great potential to be used as an electrochemical actuator or a tissue engineering scaffold.
Highlights
There is a great research and industrial interest to use carbon nanotubes (CNTs) as nanofillers to obtain polymer composites with improved mechanical, electrical and thermal properties [1,2,3,4,5]
After functionalization I D /I G ratio was increased. This might be due to breakage of some bonds of CNTs and chemical groups bonded to these groups after H 2 SO 4 /HNO 3 /HCl treatments
These chemical groups could be interpreted as defects on the structure, which lead to increase in D band intensity
Summary
There is a great research and industrial interest to use carbon nanotubes (CNTs) as nanofillers to obtain polymer composites with improved mechanical, electrical and thermal properties [1,2,3,4,5]. Because of their superior mechanical properties such as modulus, strength and thermal and electrical conductivity with their low weight, they have been attractive candidate for composite systems [6,7]. Surface functionalization of CNTs has been found be an effective method to obtain a good CNT dispersion and enhance the bonding between the CNTs and polymer matrix
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