Browsing by Subject "multifunctional materials"
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Item Computational Analysis of Carbon Nanotube Networks in Multifunctional Polymer Nanocomposites(2013-09-16) Maxwell, Kevin SCarbon nanotubes (CNTs) have attracted much attention as reinforcements in polymer composite materials because of their unique mechanical, electrical, and thermal properties. The high electrical conductivity of CNTs is especially promising for use in multifunctional materials. Dispersing a small amount of CNTs in electrically insulating polymers has been shown to increase the conductivity of the material by many orders of magnitude because the high aspect ratio CNTs form percolating networks at very low volume fractions. Additionally, it has been shown that the application of mechanical strain to these nanocomposites results in a change in material resistivity, or piezoresistivity. Many experimental research e?orts have focused on optimizing this e?ect for strain and damage sensing applications, but much is still unknown about the dominant mechanisms a?ecting piezoresistivity. The objective of this work was to develop a computational model that can predict and investigate the electrical and piezoresistive properties of CNT/polymer composites. The nanocomposites were modeled as random networks of resistors in 2D and 3D in order to understand the mechanisms that a?ect the percolative, electrical, and piezoresistive performance of di?erent material systems. The model was used extensively to analyze and predict the electrical conductivity of 2D single-walled car- bon nanotube thin ?lms and 3D multi-walled carbon nanotube (MWCNT)/polymer nanocomposites. It was found that the contact resistance between individual nanotubes greatly a?ects the conductivity of 2D ?lms as well as 3D MWCNT/polymer materials. Additionally, it was shown that the electrical conductivity model could be calibrated to experimental results by adjusting the contact resistance alone. The 3D random resistor network model was also used to predict the piezoresis-tive properties for MWCNT/polymer Nano composites. The dominant mechanisms that cause the piezoresistive e?ect in these material systems were investigated, and the Poisson?s ratio of the composite was found to greatly impact the piezoresistive performance. The predictions indicated that decreasing the Poisson?s ratio of the composite leads to higher strain sensitivity, which could have implications for choosing material systems for strain sensor applications.Item Energy landscape and electric field mediated interfacial colloidal assembly(Texas A&M University, 2007-09-17) Bahukudumbi, PradipkumarChemically and physically patterned surfaces can be used as templates to guide nano- and micro- scale particle assembly, but the design is often limited by an inability to sufficiently characterize how pattern features influence local particle-surface interactions on the order of thermal energy, kT. The research outlined in this dissertation describes comprehensive optical microscopy (i.e. evanescent wave, video) measurements and analyses of many-body and multi-dimensional interactions, dynamics and structure in inhomogeneous colloidal fluid systems. In particular, I demonstrate how non-intrusive observation of an ensemble of particles diffusing past each other and over a physically patterned surface topography can be used to obtain sensitive images of energy landscape features. I also link diffusing colloidal probe dynamics to energy landscape features, which is important for understanding the temporal imaging process and self-assembly kinetics. A complementary effort in this dissertation investigated the use of external AC electric fields to reversibly tune colloidal interactions to produce metastable ordered configurations. In addition, the electrical impedance spectra associated with colloidal assemblies formed between interfacial microelectrode gaps was measured and consistently modelled using representative equivalent circuits. Significant results from this dissertation include the synergistic use of the very same colloids as both imaging probes and building blocks in feedback controlled selfassembly on patterns. Cycling the AC field frequencies was found to be an effective way to anneal equilibrium colloidal configurations. Quantitative predictions of dominant transport mechanisms as a function of AC electric field amplitude and frequency were able to consistently explain the steady-state colloidal microstructures formed within electrode gaps observed using video microscopy. A functional electrical switch using gold nanoparticles was realized by reversibly forming and breaking colloidal wires between electrode gaps. Extension of the concepts developed in this dissertation suggest a general strategy to engineer the assembly of colloidal particles into ordered materials and controllable devices that provide the basis for numerous emerging technologies (e.g. photonic crystals, nanowires, reconfigurable antennas, biomimetic materials).