Design of Bioinspired Conductive Smart Textile Page: 3
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non-woven conductive carbon fabric using a low-cost electrospinning technique. The
fabric shows superior mechanical and electrical properties being derived from a
biological source. Different fiber material composition and architecture was investigated
to improve strength, conductivity, and flexibility of the non-woven fabric by blending
PCFA with Poly acrylonitrile (PAN) and Poly ethylene oxide (PEO) polymers. A
manufacturing technique was developed to engineer a bioinspired architecture of the
fibers by inducing controlled porosity on the surface or core of fibers. A finite element
model was developed to design the fabric for mechanical properties. This manufacturing
method can use for hierarchical functionalization of fibers by adding conductive
nanoparticles at different levels of fiber cross-section.
In this chapter, the background to the elements of this dissertation is given. First,
we review the intrinsic materials properties for carbon fibers and challenges due to the
environment and energy concern (1.1). Next, the architecture of biological fibers and
attributes associated with it are reviewed (1.2). Then the manufacturing techniques to
create synthetic fibers are provided in sectionl.3. Finally, the scope of the dissertation is
presented in section 1.4.
1.1 Intrinsic Properties of Carbon Fibers
Carbon fibers have become an essential engineering material for design and
manufacturing. The increasing surface area on the fiber surface through porosity lends
itself to a high surface area substrate whose interfacial coupling has been shown to
counter the negatives from high defect density in carbon formed in high volumes [15].
Carbon fiber applications cover a diverse spectrum and its usage is expected to reach3
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Rizvi, Syed Hussain Raza. Design of Bioinspired Conductive Smart Textile, dissertation, August 2017; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc1062837/m1/15/: accessed July 18, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .