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This thesis evaluates the viability of an original design for a cost-effective wheel-mounted dynamometer for road vehicles. The goal is to show whether or not a device that generates torque and horsepower curves by processing accelerometer data collected at the edge of a wheel can yield results that are comparable

This thesis evaluates the viability of an original design for a cost-effective wheel-mounted dynamometer for road vehicles. The goal is to show whether or not a device that generates torque and horsepower curves by processing accelerometer data collected at the edge of a wheel can yield results that are comparable to results obtained using a conventional chassis dynamometer. Torque curves were generated via the experimental method under a variety of circumstances and also obtained professionally by a precision engine testing company. Metrics were created to measure the precision of the experimental device's ability to consistently generate torque curves and also to compare the similarity of these curves to the professionally obtained torque curves. The results revealed that although the test device does not quite provide the same level of precision as the professional chassis dynamometer, it does create torque curves that closely resemble the chassis dynamometer torque curves and exhibit a consistency between trials comparable to the professional results, even on rough road surfaces. The results suggest that the test device provides enough accuracy and precision to satisfy the needs of most consumers interested in measuring their vehicle's engine performance but probably lacks the level of accuracy and precision needed to appeal to professionals.
ContributorsKing, Michael (Author) / Ren, Yi (Thesis director) / Spanias, Andreas (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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A model has been developed to modify Euler-Bernoulli beam theory for wooden beams, using visible properties of wood knot-defects. Treating knots in a beam as a system of two ellipses that change the local bending stiffness has been shown to improve the fit of a theoretical beam displacement function to

A model has been developed to modify Euler-Bernoulli beam theory for wooden beams, using visible properties of wood knot-defects. Treating knots in a beam as a system of two ellipses that change the local bending stiffness has been shown to improve the fit of a theoretical beam displacement function to edge-line deflection data extracted from digital imagery of experimentally loaded beams. In addition, an Ellipse Logistic Model (ELM) has been proposed, using L1-regularized logistic regression, to predict the impact of a knot on the displacement of a beam. By classifying a knot as severely positive or negative, vs. mildly positive or negative, ELM can classify knots that lead to large changes to beam deflection, while not over-emphasizing knots that may not be a problem. Using ELM with a regression-fit Young's Modulus on three-point bending of Douglass Fir, it is possible estimate the effects a knot will have on the shape of the resulting displacement curve.
Created2015-05
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Circular Dichroism (CD) and electron paramagnetic resonance (EPR) were used to investigate the metal-binding sites of five different four-helix bundles, which have slight differences in the population of their side chains. Of the four-helix bundles, three have central dinuclear metal binding sites; two of these three also have outer dinuclear

Circular Dichroism (CD) and electron paramagnetic resonance (EPR) were used to investigate the metal-binding sites of five different four-helix bundles, which have slight differences in the population of their side chains. Of the four-helix bundles, three have central dinuclear metal binding sites; two of these three also have outer dinuclear metal binding sites. The other two peptides have two identical, non-central, dinuclear metal binding sites. The CD spectra showed changes in the secondary structure of the peptides, and X-band EPR spectra of these peptides revealed the unique four peak signal of Cu(II). These findings improve our understanding of the metal binding environments of these peptides.
ContributorsCanarie, Elizabeth Rose (Author) / Allen, James (Thesis director) / Wolf, George (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description

The self-assembly of strongly-coupled nanocrystal superlattices, as a convenient bottom-up synthesis technique featuring a wide parameter space, is at the forefront of next-generation material design. To realize the full potential of such tunable, functional materials, a more complete understanding of the self-assembly process and the artificial crystals it produces is

The self-assembly of strongly-coupled nanocrystal superlattices, as a convenient bottom-up synthesis technique featuring a wide parameter space, is at the forefront of next-generation material design. To realize the full potential of such tunable, functional materials, a more complete understanding of the self-assembly process and the artificial crystals it produces is required. In this work, we discuss the results of a hard coherent X-ray scattering experiment at the Linac Coherent Light Source, observing superlattices long after their initial nucleation. The resulting scattering intensity correlation functions have dispersion suggestive of a disordered crystalline structure and indicate the occurrence of rapid, strain-relieving events therein. We also present real space reconstructions of individual superlattices obtained via coherent diffractive imaging. Through this analysis we thus obtain high-resolution structural and dynamical information of self-assembled superlattices in their native liquid environment.

ContributorsHurley, Matthew (Author) / Teitelbaum, Samuel (Thesis director) / Ginsberg, Naomi (Committee member) / Kirian, Richard (Committee member) / Barrett, The Honors College (Contributor) / Department of Physics (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Historical, Philosophical & Religious Studies, Sch (Contributor)
Created2023-05
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There has been a recent push to examine the materials that nature is able to synthesize and consider whether the materials that humans have invented are geomimetic in nature, and whether designing nature-inspired materials is economically and environmentally beneficial. Mesoporous silica represents a class of materials with pore sizes of

There has been a recent push to examine the materials that nature is able to synthesize and consider whether the materials that humans have invented are geomimetic in nature, and whether designing nature-inspired materials is economically and environmentally beneficial. Mesoporous silica represents a class of materials with pore sizes of 2-50 nm and has been studied in catalysis, separations, and drug delivery. It has generally been made using organosilicon precursors, but in this work, we demonstrate for the first time the successful synthesis of mesoporous silica with uniform mesoporosity of 10 nm using the mineral forsterite (Mg2SiO4) as a silica source, providing a potentially cheaper and more Earth-friendly route to making this technologically important material. Forsterite was synthesized by a solid-state chemistry route and underwent dissolution-reprecipitation in an aqueous acid solution containing the soft template surfactant, Pluronic P123. The formation of forsterite was confirmed with X-ray diffraction (XRD), the successful templating of surfactant was demonstrated with thermogravimetric analysis (TGA) and Fourier-transform infrared spectroscopy (FTIR), the surface area was determined through Brunauer-Emmett-Teller (BET) analysis, and pore size and distribution were demonstrated with Barrett-Joyner-Halenda (BJH) analysis. The synthesized mesoporous silica at optimal conditions has surface area of 740 m2/g and pore volume of 1.4 mL/g.

Created2022-05