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Engineering

Autonomous Electrorefining of a Surrogate for Used Nuclear Fuel

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Author(s): Ander Fuller, Bryant Johnson, George Ankrah

Real-Time Vibration Monitoring with a High-Speed Camera

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Author(s): Thomas Munro, Sebastien Fregeau, Ella Hansen, Lucca Coelho, Rodrigo Armaza, Efe Sezer, Efe Kaya

Human Interfacing with Artificial Intelligence

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Author(s): Sebastien Fregeau, Ella Hansen,Thomas Munro, Lucca Coelho, Rodrigo Armaza, Efe Sezer, Efe Kaya

Simulated Physiological Environment Stimulates Corrosion in Stainless Steel Substrates following Carbon-Infiltrated Carbon Nanotube Surface Modification

December 30, 0020 12:00 AM
Bowden, Lucy; Monroe, Jacquelyn; Bowden, Anton E.; Jensen, Brian D. (Brigham Young University)
Faculty Advisor: Bowden, Anton (Engineering, Mechanical Engineering); Jensen, Brian (Engineering, Mechanical Engineering)

Previously our lab has shown that carbon-infiltrated carbon nanotube (CI-CNT) surfaces enhance osseointegration and resist biofilm formation, making them attractive possibilities as orthopedic implant materials. For these applications, CI-CNTs and their underlying substrate material must be able to withstand aqueous physiologic conditions. Due to microstructural changes that occur during CI-CNT production, we hypothesized that stainless steel substrate materials experience a loss of their protective, passivating layer, subsequently corroding when immersed in a simulated biological environment. The purpose of the study was to compare corrosion resistance of CI-CNT coated stainless steel substrates to bare stainless steel control samples after two days of incubation in different physiological analog media.

CI-CNTs were grown on 316L stainless steel samples which were sonicated for 20 minutes in isopropyl alcohol and given a 2 minute heat treatment in air at 800°C, followed by a 20 minute growth at the same temperature in ethylene and argon. Carbon infiltration was done for 5 minutes in the same gases at 900°C. The samples were autoclaved and placed into different media including deionized water, phosphor buffered saline solution (PBS), and DMEM culture media. The samples were then incubated for 48 hours at 37°C.

Macroscopic observation showed no obvious signs of corrosion (e.g., discoloration of the liquid media, cloudiness, physical changes in sample appearance) for any of the control samples, or for CI-CNT coated samples in deionized water. In contrast, the CI-CNT coated samples immersed in PBS and culture media exhibited significant discoloration and a cloudy appearance. Subsequent SEM images of the CI-CNT coated samples which had been immersed in culture media and PBS showed foreign residue. Energy dispersive x-ray analysis characterized this residue as having markedly higher levels of sodium and phosphorus than a baseline CI-CNT coated stainless steel sample. SEM images of the bare stainless steel samples and the CI-CNT samples cultured in deionized water showed no signs of corrosion or residue.

Our preliminary results illustrate that media containing salts initiated corrosion of CI-CNT coated stainless steel samples, likely due to disruption of the passivating layer in the substrate. Future work will explore methods for re-establishing the passivating layer in stainless steel materials.

Human-Robot Co-Manipulation of Extended Objects

December 30, 0020 12:00 AM
Howell, Ashley (Brigham Young University)
Faculty Advisor: Killpack, Marc (Ira A. Fulton College of Engineering, Mechanical Engineering); Salmon, John (Ira A. Fulton College of Engineering, Mechanical Engineering)

Human-robot co-manipulation of objects to complete specific tasks, such as carrying a stretcher in a search and rescue operation, is an open ended problem in the foreseeable future. Since many motions of the shared object, like rotation and translation, initially feel identical, it can create disagreement between the human and the robot on where to move the object. Programming a robot to determine what kind of movement a human is suggesting and acting accordingly requires extensive data on how humans interpret such communications. This project focuses on designing and constructing a stretcher like object that will be used in a series of experiments in which two humans will carry it through a random arrangement of obstacles. Sensors on the object will gather data on the different ways humans move and interact with it through forces and torques. Indications of these movements will be used to instruct a robot on how to "follow" with the goal of adding no additional cognitive load to the human leader.

Micropatterning Retinal Pigment Epithelial Cells to Model the Effects of Age-Related Macular Degeneration

December 30, 0020 12:00 AM
Barney, Nate; Paterson, Chase: Farjood, Farhod; Vargis, Elizabeth (Utah State University)
Faculty Advisor: Vargis, Elizabeth (College of Engineering, Biological Engineering Department)

Age-related macular degeneration (AMD) is the leading cause of blindness in the developed world. Often the cause of irreversible blindness is abnormal blood vessel growth, or angiogenesis, into the retina during AMD. This abnormal vascular growth affects a tissue monolayer called the retinal pigment epithelium (RPE). The RPE cells transport nutrients and maintain the photoreceptors of the eye. The loss of cells in the RPE layer can cause photoreceptor death and consequently blind spots in an individual's vision that steadily increase in size as AMD progresses. Early research suggests RPE cell disruption plays a role in abnormal angiogenesis as RPE cells lacking neighbors have higher production rates of angiogenic factors, such as vascular endothelial growth factor (VEGF). To better understand the effects of RPE detachment on angiogenesis, cells can be grown and characterized in vitro. This research can lead to an in vitro model of degeneration in the human retina that could be used to investigate specific causes of abnormal angiogenesis and potential therapeutics. Our research to date has shown the benefits of using micropatterning as a technique to simulate the areas of cell-cell detachment. To do so, we used photolithography to create thin PDMS stencils with 100 _m holes. ARPE-19 cells were grown across the stencil until confluent, and the stencil was peeled away to cause controlled cell-cell detachment. The concentration of angiogenic factors can then be analyzed to see the effects of cell-cell detachment. My ongoing research will include the use of human RPE cells and analyzing retinal images that show varying levels of degeneration to create micropatterns that are more representative of retinal degeneration during AMD.

Optogenetics in Engineered Cardiac Tissue Maturation

December 30, 0020 12:00 AM
Moncada, Silvia; Allen, Bryce; Hafen, Tanner; Valencia-Amores, Sebastian; Hanson, Luke; Dorian, Sariah; Bechtel, Matth;ew; Smith, Seth; Myres, Isaac; Holding, Clayton; Jacobs, Dallin; Hellwig, Lexi; White, Joshua; Evanson, Davin; Cheney, Cladin; Taylor, Sloan; Grossman, Jesse; Donaldson, Jesse; Jepsen, Emily; Johnston, Maren; Porter, Kaiden; Jardine, Alyson; Garfield, Seth; Larson, Spencer; Gardiner (Brigham Young University)
Faculty Advisor: Mizrachi, Dario (College of Life Sciences, Physiology & Molecular Biology)

Heart disease is the leading cause of death in the United States. During myocardial infarction cardiac tissue suffers a lack of nutrients and oxygen that leads to the formation of unregenerable scar tissue which causes a loss of myocardial functionality. With the advent of human induced pluripotent stem cells (hiPSC), the promise of engineering autologous cardiac tissues (ECTs) as a translatable treatment to cardiac disease and as a model for pharmaceutical research is ever closer. We create ECTs using iPS-human induced cardiomyocytes (hiCMs) and extra cellular matrix (ECM) derived from a decellularized left ventricle of a porcine heart. Decellularized matrices allow the preservation of important architectural cues found in the native heart for hiCMs development (Momtahan, 2015). Nevertheless, ECTs still face some challenges before they can be useful in a clinical or pharmaceutical research setting i.e. poor ECT contractile force, hiCM maturity, proper cell morphology and architecture, etc. (Dwenger, 2018). In this study, we seek to combine the mechanical cues of the preserved architecture of a decellularized matrix with the spatiotemporal accuracy of optogenetics as a novel technique to stimulate ECT functionality assessed through contractile force, proper hiCM elongation, and alignment.

Hierarchical Parcel Swapping: Turbulent Mixing Model

December 30, 0020 12:00 AM
Wheeler, Isaac; Lignell, David (Brigham Young University)
Faculty Advisor: Lignell, David (Brigham young University, Chemical Engineering)

Turbulence remains one of the great unsolved problems of classical physics; for this reason it remains one of the primary focuses of study in computational fluid dynamics. Numerically, the governing equations for fluid flow can be solved, but to accurately simulate a turbulent flow (as found in combustion, drag calculations, and a variety of other situations) the equations must be solved at small enough length scales to describe very small structures present in turbulent phenomena. Hierarchical parcel swapping (HiPS) is a proposed model for turbulent mixing; the model is computationally cheaper than a numerical simulation at similar length scales, and allows for variation in diffusion coefficients (Schmidt number Sc). In my presentation I will discuss the implementation of HiPS and its agreement with established turbulent phenomena.

Investigating The Biocompatibility Of Novel Recombinant Hagfish Thread Keratins As A Platform For Mammalian Cell Culture

December 30, 0020 12:00 AM
Walker, Caleb; Justin A. Jones (Utah State University)
Faculty Advisor: Jones, Justin (College of Science, Biology Department)

In recent years there has been a large push towards exploring the possibility of using protein-based materials to replace petroleum-based materials. Proteins such as those found in spider silk have been investigated, and this exploration has led to proteins not only being used for fibers, but also gels, foams, and films. As research progressed in protein-based filaments, hagfish intermediate filaments have started being explored, specifically, how to recreate these proteins synthetically and what material forms could be produced from them. In the last year, significant progress has been made into the production and of these novel proteins as well as studying their material applications.

The biocompatibility and cytotoxicity of protein films made of these novel recombinant hagfish proteins was evaluated through in vitro testing with a NIH/3T3 mouse fibroblast cell line. The films were produced from alpha and gamma hagfish proteins, purified as insoluble bodies from genetically engineered E. coli bacteria. Cytotoxicity of the films was tested through direct contact and extract testing using cell viability ratios, cell morphology, a cell proliferation assay, and a DNA quantitation assay.

This preliminary data is important for further experimentation with the novel hagfish proteins being used in the Jones lab for biomedical applications. The understanding of the cytotoxicity of these proteins is required before further testing can be done in any biomedical aspect, as in vitro studies provide the foundational data for moving forward with in vivo testing. This project is the first step into the biomedical field for these novel proteins and their potential applications.

Modular Design of In-Road Pads for In-Motion Wireless Power Transfer

December 30, 0020 12:00 AM
Hansen, Matthew; Kamineni, Abhilash; Zane, Regan (Utah State University)
Faculty Advisor: Kamineni, Abhilash (College of Engineering, Electrical and Computer Engineering Department); Zane, Regan (College of Engineering, Electrical and Computer Engineering Department)

Electric vehicles (EV) are becoming a cleaner, more popular mode of transportation. However, more convenient charging solutions are required for higher EV adoption. One possible solution is wireless charging of in-motion EVs, but that technology still needs to mature before realization. This research explores a novel charging technology for an in-road wireless charging pad that may increase the feasibility of in-motion wireless EV charging. The research is based on a commonly used pad design. The charging pad on-board the vehicle operates without direct input from the in-road pad, which simplifies current EV wireless charging designs. When the vehicle is not near an in-road pad, negligible energy is used by the vehicle's charging pad, increasing overall efficiency. As the vehicle approaches an in-road pad, the electromagnetic effects of the approaching, enabled vehicle pad activate the in-road pad. An innovative scheme is used to synchronize the in-road pad to the vehicle pad, achieving maximum power transfer. Protections against system instability have also been included. The control scheme only observes the electromagnetic effects of the approaching vehicle, eliminating the need for any radio frequency communication between the vehicle and road and between subsequent in-road pads. The result is a modular, secure, reliable, and simple design. The design improvements can be an enabling technology to in-motion wireless EV charging and broader EV adoption, which can result in lower emissions in populated areas.

Increasing Accuracy in Cell-Free Protein Synthesis Reactions

December 30, 0020 12:00 AM
Bundy, Bradley C; Mills, Heather; Nelson, Andrew (Brigham Young University)
Faculty Advisor: Bundy, Bradley (Brigham Young University, Chemical Engineering)

Many advantages are associated with cell-free protein synthesis. It is the fastest way to obtain a protein from a gene, and large amounts can be produced.

A common challenge in cell-free protein synthesis is inconsistency in reaction results, when protein yields appear to vary significantly between trials of the same reaction. Correcting this problem by focusing on and adjusting laboratory technique was the platform of this specific research project. Such adjustments aimed to increase the precision with which reagents were measured and the accuracy of the spectrophotometer results; and to decrease potential error created by air bubbles and non-uniformly mixed reagents.

Overall, amounts of protein yield became more consistent as procedural steps were performed with greater focus on laboratory technique. These results indicate that adjusting laboratory technique could potentially help to increase consistency in yield amounts and reduce error in cell-free protein synthesis reactions. Further direction for the research includes using the improved and more accurate CFPS reactions to produce protein therapeutics, which is used in the treatment of various diseases.

Pluronic Micelles Shield Antiviral Cargo from Oxidation

December 30, 0020 12:00 AM
Kjar, Andrew; Heap, Mitchell; Wadsworth, Ian; Vargis, Elizabeth; Britt, David (Utah State University)
Faculty Advisor: Britt, David (College of Engineering, Biological Engineering Department); Vargis, Elizabeth (College of Engineering, Biological Engineering Department)

Quercetin is a flavonoid that exhibits antiviral activity against cytomegalovirus infection, the leading cause of non-genetic sensorineural hearing loss in infants. However, delivering quercetin as an antiviral treatment is challenging as it is sparingly soluble in water and highly susceptible to oxidation once solubilized. This study investigated quercetin encapsulation in micelles formed from self-assembled nanocariiers of differing hydrophobic and hydrophilic chain lengths (specifically, F127, P123, and F68). Samples were investigated weekly for two months using UV-vis spectroscopy and dynamic light scattering to determine quercetin chemical stability and micelle size, respectively. Free quercetin and F68-encapsulated quercetin oxidized within one week in PBS, while quercetin encapsulated by Pluronics F127 and P123 remained stable and encapsulated over two months. Pluronics F127 and F68 have similar PEO chain lengths, but the lower hydrophobic PPO content of F68 was insufficient to allow quercetin-loaded F68 to form stable carriers. As a consequence, F68 also did not protect quercetin against oxidation. The decreased PEO chain length of P123 did not inhibit micelle formation nor oxidative protection. These data suggest the length of the hydrophilic chain is not a determining factor in the chemical stability of encapsulated quercetin. Instead, shielding effects appear to correlate to longer hydrophobic segment lengths, as in F127 and P123.

Conclusions: The ability of the selected Pluronics to encapsulate quercetin in stable micelles and inhibit oxidation was highly dependent on PEO/PPO ratios. This work indicates selection of the appropriate delivery vehicle is necessary to improve quercetin's efficacy as an antiviral and antioxidant for inhibiting CMV and associated SNHL.

Microprocessor Developing For an Air Quality Control System

December 30, 0020 12:00 AM
Craig, Michael W. ; Valle, Hugo E. (Weber State University)
Faculty Advisor: Valle, Hugo (Weber State university, Computer Science)

The purpose of Project Atmosniffer is to develop a scientific and commercial air-quality monitoring and recording tool.
This project has undergone many transformations over the years since its birth and is continuing to be improved during the period of my contributions. Project Atmosniffer has provided me a unique opportunity to enhance my computer science (CS) core skills. From networking, ticket tracking, version control, data analysis, and hands-on experience in the lab.
The atmosniffer has changed much of its hardware. The current version of the Atmosniffer device, upgraded the following components: microprocessor, gas board, dynamic sensor, OLED screen. The new version offers new features like a new CO2 sensor and WiFi connectivity.
More details covering the CS skills utilized in the development of new components and features of the Atmosniffer device will be presented.

Scientific Research Accessibility in an Open Access World

December 30, 0020 12:00 AM
Tucker, Ryan W.; Bundy, Bradley C. (Brigham Young University)
Faculty Advisor: Bundy, Bradley (Engineering, Chemical Engineering)

Peer-reviewed journal articles publications and their citation rate is the primary measure of research productivity and impact. Many measure of this impact have been developed and this has motivated many researchers to advertise and market their work. However, there are challenges with this system in that much of the scientific literature is not openly available and there are often high fees associated with making an article open access. Here I discuss this challenge and how engineering researchers are working to better make their research more available to the community.

Scheimpflug (aka Tilt-Tip) Applied to Solid Mechanics to Improve Depth of Field for Stereo DIC

December 30, 0020 12:00 AM
Van Leeuwen, Fiona; German, Emma; Berke, Ryan (Utah State University)
Faculty Advisor: Berke, Ryan (College of Engineering, Mechanical and Aerospace Engineering Department)

Stereo Digital Image Correlation (DIC) is a technique to visually analyze deformations and strains in a material. This way of calculating strains is useful due to the implications of the technique being non-contact. One of the methods to improve using this technique is to use scheimpflug (AKA tilt-tip lenses) to increase the depth of field of the image. These lenses are oriented at an angle with respect to the camera sensor, thereby rotating the angle between the image plane and the subject plane. These methods have been verified in fluids research for PIV measurements which are like DIC. The experiment was conducted by first verifying the method by using a single camera. The research currently being conducted is on using two cameras giving a verification for the 3D method. The goal for this research is to measure an increase in depth of field. Using the single camera 2D measurements, it has been shown that at steeper angles from the camera, the better the measurement when a larger scheimpflug angle is used.

Keyword: Depth of Field, Scheimpflug Lenses, Stereo DIC

Optimization of Turbine Tilt in a Wind Farm

December 30, 0020 12:00 AM
Cutler, James; Stanley, Andrew; Ning, Andrew (Brigham Young University)
Faculty Advisor: Ning, Andrew (Brigham Young University, Mechanical Engineering)

Wind farms are severely affected by negative wake interactions between turbines. By opti- mizing the tilt angle of the turbines in a farm, wakes may be deflected away from downstream turbines, increasing the overall energy production. In this study, we will optimize the tilt angle of turbines in a wind farm to maximize energy production. We will use an analytic wake model modified to consider wake deflection from tilt, and gradient-based optimization. We will consider optimizing the tilt angle of each turbine assuming that it will remain fixed for the lifetime of the farm. We will also consider active tilt control. Preliminary results with a simple five turbine row show that a large tilt angles of 35_ in the front upstream turbine increases the power production of the five turbines by about 20% compared to the power production with no tilt in the front turbine. Although these preliminary results only consider one wind direction and exaggerate the gains from wake deflection through tilt, we expect that considering a whole wind farm and wind distribution will still result in significant gains.

Quantifying Permeability of RPE Cells on Spider Silk Membranes as a Model of an Aged Bruch's Membrane

December 30, 0020 12:00 AM
Burrows, Tessa; Paterson, Chase; Harris, Tom; Jones, Justin; Elizabeth, Vargis (Utah State University)
Faculty Advisor: Vragis, Elizabeth (College of Engineering, Biological Engineering Department)

Age-related macular degeneration (AMD) is the leading cause of vision loss and blindness in developed nations. To better treat this disease, an accurate model of the retina is needed to study how its healthy and diseased functions. Modeling Bruch's membrane (BM) — a semipermeable layer separates the specialized cells in the retina from blood vessels and becomes more thick and brittle with age — can aid in identifying how the cells associated with AMD, retinal pigmented epithelial (RPE) cells, grow and respond to stress. This project identifies how the brittleness and thickness of a synthetic BM affects cell function and stress factor production in RPE cells. Previous research compared the growth of RPE cells on Transwell membranes and recombinant spider silk proteins (rSSPs) to model BM, and found rSSPs membranes to support RPE growth. Using rSSPs, nonporous membranes with thicknesses of approximately 36 and 50 µm were fabricated to simulate a thicker and more brittle, aged BM. Control assessments were performed with Transwell support membranes, and with 15 µm rSSPs membranes which have been found to support the growth of RPE cells. RPE cells (ARPE-19) were grown on the membranes to confluency and the permeability of the membrane-cell complex was assessed with a size dependent permeability assay with fluorescent dyes of varying molecular weight. Preliminary results found that 36 and 50 µm membranes have a lower permeability coefficient with 7 days of cell growth and a 10 kDa dye. This project is ongoing, and future work includes protein staining to determine the formation of tight junctions and the expression of vascular growth factors associated with AMD. Differences in permeability across the thicker cell-membrane complexes suggest RPE cells have a reduced ability to transport waste across BM. Using rSSPs provides a tunable substrate to quantify the importance of BM in AMD.

Implementing a Sectional Model for Soot Coagulation into a Standalone Soot Library

December 30, 0020 12:00 AM
Oldham, Keturah; Lignell, David; Stephens, Victoria (Brigham Young University)
Faculty Advisor: Lignell, David (Brigham Young University, Chemical Engineering)

Soot is an important but computationally expensive aspect of modeling combustion. To thoroughly predict the way that soot acts, it is necessary to know the number and size of every soot particle in a situation. Since that is clearly not practical, there are a variety of methods to approximate the soot size distribution: the method of moments, assuming monodispersion, and a sectional method. To facilitate the incorporation of these soot models into various applications, a C++ library including these models was created. As part of this C++ library, a sectional model was implemented. This splits the overall soot size distribution into discrete sections, then calculates the soot chemistry involved with these sections. To implement this into the library, a partial sectional model (including only coagulation) was first implemented in Python and compared to verified values. This model was then written in C++, expanded to include the various other soot mechanisms (e.g., growth, oxidation), and incorporated into the larger soot library. The sectional model as part of the soot library will be tested for validity. In summary, to enable the combustion simulation community to more easily simulate soot, a soot library that includes several models was created and expanded to include a sectional model. The use of these models enables modeling to be more accurate due to the easy inclusion of soot in a comparatively computationally inexpensive manner.

Physical Human-Robot Co-Manipulation of Extended Objects

December 30, 0020 12:00 AM
Qian,Rui (Brigham Young University)
Faculty Advisor: Salmon, John (BYU - Ira A. Fulton College of Engineering, Mechanical Engineering); Killpack, Marc (BYU - Ira A. Fulton College of Engineering, Mechanical Engineering)

The cooperation between humans and robots may become more intuitive as technology develops. It is foreseeable that soon physical human-robot collaboration may be applied in the area of co-manipulation of objects, especially in search and rescue. It comes naturally for a human dyad to adapt and respond to changes with each other while moving objects. However, it still can be difficult for a robot to determine the motion it should take to best collaborate with a human. In order to optimize robots imitation of humans and improve their efficiency to assist humans, the research aims to design algorithms for robots to move objects in more human-like ways by first analyzing behavioral characteristics of human-to-human collaborations.

During our experiments, we will designate one person per group as a leader and one as a follower to carry a stretcher-like table as a simulated object with force-torque sensors through different obstacles. As the follower will not be explicitly told the intention of the leader, the forces and torques that the follower feels through the object become important for understanding the leader's intent. With standardized specific goals and qualifiers, data will be gathered on the force and torque people exert on the object and motion of table; we will then analyze the correlation and characteristics between the data and people's actual intentions. The data will later be implemented as an algorithm on the robot to help it identify human's intentions and to complete the cooperative task efficiently and smoothly.

Optimization Of Tuberculosis Biomarker Detection In Breath Condensate Via Engineered Electroactive Solution

December 30, 0020 12:00 AM
Swomitra, Mohanty; Willis, Christina ; Larson, Shaylee (University of Utah)
Faculty Advisor: Mohanty, Swomitra (Engineering, Chemical Engineering)

The World Health Organization has cited tuberculosis (TB) as a global health emergency. As this is a disease that mainly affects those in developing countries, it is important to provide a rapid and affordable means of diagnosis. Emerging work has shown breath biopsy to be a promising resource for diagnosing a variety of diseases, but is particularly promising for TB, as it negates the need for sputum collection that can cause many problems in young or ill patients and can provide results at point of care.

The breath of a patient diagnosed with TB contain volatile organic biomarkers (VOBs) that are given off by the bacteria that cause the disease. Detection of VOBs with via metal-functionalized titanium dioxide sensors has been successful in very sick patients, however it is limited in its ability to detect low analyte levels and has unknown specificity in a complex human breath matrix. Preliminary results indicate that the use of an engineered electroactive solution (EAS), a liquid-phase complex which utilizes a functional metal in solution, can improve the current sensing platform by simplifying the electrode configuration and allowing the use of more complex electrochemical techniques (in this case square wave voltammetry (SWV)). Because the margins of detection can be quite small, successful optimization of SWV parameters is vital. The proposed project will explore a means of optimizing these parameters by collecting a variety of sample data in order to determine how the electrochemical activity of the EAS is altered when biomarkers are introduced.

Optimization of Strain Gauge Placement on Lower Back for Maximum Resolution of Spine Biomechanics

December 30, 0020 12:00 AM
Gibbons, Andrew; Clingo, Kelly; Emmett, Darian; Fullwood, David; Bowden, Anton (Brigham Young University)
Faculty Advisor: Fullwood, David (Brigham Young University, Ira A. Fulton College of Engineering; Engineering and Technology); Bowden, Anton (Brigham Young University, Ira A. Fulton College of Engineering; Engineering and Technology)

Spine dysfunctions such as stenosis and herniated discs have traditionally been diagnosed using X-ray or MRI imaging techniques; but these methods capture a snapshot of the problem, without revealing the positional dependence of the causes and effects. In order to provide a richer dataset to physicians, an NIH-funded project has begun with the aim of tracking details of spinal motion for people with healthy and symptomatic backs. Novel nanocomposite strain gauges will be used to capture skin deformation during typical back motion, and correlate these data with back motions that are known to reveal chronic subcutaneous trauma. This paper focuses on the optimal placement of strain gauges for maximum resolution of the underlying biomechanics.

An array of reflective markers was placed on a healthy individual's lower back between the L5 and T10 vertebrae. A QUALISYS motion capture lab was then used to determine the coordinates of these markers during flexion, rotation, flexion with rotation, and side bending. These motions were repeated 3 times for 10 seconds. The distances between markers were calculated for each motion and the strain values between resting and flexed positions were determined. Initial validation was performed by comparing a maximum tensile strain of 0.54, between the L5 and L1 vertebrae in flexion, with a previously reported value of 0.5 in the literature.

This paper will report the development of an optimal arrangement of sensors for resolving the relevant biomechanics of the spine, based upon a detailed analysis of the optical marker results. Future work will utilize these results to develop a skin mounted, wearable sensor array that can measure the real-time kinematics of the spine and compare them with a database of healthy and low back pain subjects using a machine-learning paradigm. We hope to use the system to identify mechanical sources of low-back pain.

Novel Methods for Composites Recycling via Pyrolysis

December 30, 0020 12:00 AM
Jacobs, Matt (Brigham Young University)
Faculty Advisor: George, Andy (Engineering, School of Technology); Miles, Mike (Engineering, School of Technology)

Composites are unique materials in many respects. When fabric woven from carbon fibers is joined with a thermoset resin in a controlled environment, it results in a very strong material. One aspect of this construction that provides great strength lies in the crosslinked chains of plastic polymers, which form strong bonds as the resin cures. It's a two-edged sword, though. Although the resin and the composite are quite strong together, they are very difficult to pull apart once they're formed, in order to be able to use again in the future. As such, composite structures formed with industry-standard thermoset resins have a single-use lifespan. The cheapest thing to do to dispose of them is to simply throw them away. However, by isolating the dry fibers by burning off the resin (a process called pyrolysis), the fibers are able to be processed again in useful ways — they are reclaimed. My research focuses on pyrolysis and ways to optimize its process. I aim to showcase its environmentally-friendly capabilities through making new composite structures with fibers reclaimed via pyrolysis to lessen landfill waste.

For the experimental phase of the research, a roll of unprocessed carbon fiber material will be selected for producing 4 test groups:
Virgin-sized carbon fibers
Fibers that have undergone pyrolysis
Fibers infused to part and reclaimed with pyrolysis, oxygen-free environment
Fibers infused to part and reclaimed with pyrolysis, ambient air environment

Fiber samples will then be processes into 3mm length fibers. Fibers will then be introduced to Matrix at TBD% Fiber volume content, following which, dog bones will be molded from samples for tensile testing. Dog bones will then be tensile tested and analyzed at fracture point.

Response variables involved include:
Oxygen vs deoxygenated atmosphere (during pyrolysis),
Bath vs spray vs no application (method of sizing).
Control variables include:
Fiber & Sizing,
Fiber resin ratio,
Fiber Length,
Pyrolysis Time & Temp.

Post-pyrolysis fibers will then be chopped, blended with plastic (polymer TBD) and extruded, cut into pellets, and injection molded into dog-bones for tensile testing. The resulting mechanical properties of the carbon fiber reinforced plastic compared with standard injection molding polymers as well as fully-cured composite.

Although uncertainties exist in the viability of sizing application and surface treatment for composites recycling, building upon previous work in pyrolysis and utilizing the unique resources available at BYU (composites lab, ready access to aerospace-grade fibers, industry standard processing equipment, scanning electron microscopes, etc.), the work's importance and potential for contributions to the field are clear.

Principles of Tremor Propagation from Neurological Activity to Joint Displacement Discovered from Upper Limb Simulation

December 30, 0020 12:00 AM
Baker, Spencer; Charles, Steven (Brigham Young University)
Faculty Advisor: Charles, Steven (Ira A. Fulton College of Engineering, Mechanical Engineering)

Essential tremor is one of the most common movement disorders and affects millions nationwide. Its debilitating effects and lack of satisfactory treatments accentuates the need for new tremor-suppressing methods. Alternative treatments are possible but would be more effective if tremor propagation from neurological activity to joint movement was better understood. The purpose of this research was to further develop previous investigations and discover the effects deep upper limb muscles on tremor propagation.
A model of the upper limb was developed to simulate tremor propagation from neural drive to muscle force, joint torque, and degree of freedom movement. An analysis of the model revealed four tremor propagation principles. (1) Musculoskeletal dynamics spread neural drive to multiple outputs, act as a low-pass filter in the tremor bandwidth, and cause a phase shift between muscle activity and joint movement. (2) Tremor spreads primarily due to inertia and secondarily due to moment arm geometry. (3) Tremor spreads narrowly. (4) The degree of freedom most affected by the tremor is wrist flexion-extension.
These conclusions provide new information regarding the propagation of tremor from superficial and deep upper-limb muscles, lay the foundation for determining the muscular source of tremor, and will assist in future tremor treatments.

UAV Photogrammetry Ground Truth Spacing Methodology to Accurately Model Reservoir Shorelines

December 30, 0020 12:00 AM
(Pace, Jenessa; Ence, Elodie; Kunz, Allison; Stevens, Rebecca; Kunz, Amber; Cooper, Izaak; Nelson, Alicia; Asplund, Alyssa; Stock, Julianna) (Brigham Young University)
Faculty Advisor: Williams, Gustavious (Ira A. Fulton College of Engineering and Technology, Civil and Environmental Engineering)

Photogrammetry using Unmanned Aerial Vehicles (UAV) has become more relevant to water resources issues. The models generated can be highly accurate and detailed. The use of ground truth is an integral part of ensuring the accuracy of such models. Ground truth based on GPS-obtained data of visual targets gathered in the field prior to UAV data collection are used to improve post processing accuracy. Proper spacing of ground truth is primarily dependent on the flight path of the UAV during data collection, flight height, and image resolution.
One developing task is creating models of full-pool bathymetric maps for reservoirs - using UAVs for above the waterline and sonar for below. Due to their erratic shapes, capturing the shorelines of reservoirs requires erratic flight paths. Planning ground truth spacing requires special care.
To determine proper ground truth spacing we completed a field survey at Starvation Reservoir, near Duchesne, Utah. We selected a two mile stretch along the north side of the reservoir to test various ground truth spacings. We flew the test stretch with two flights, one taking nadir photos and one with the photos taken at an angle of about 30 degrees, more normal to the shoreline. The primary placement of ground truth points was approximately 0.25 miles apart. After the data was recorded, we created models using Metashape software using different ground truth spacing, using spacings of 0.25, 0.5 and 1 mile. We used Cloud Compare software to determine the error between each model. We assumed that the model generated using 0.25 points/mile was "truth". We used this preliminary information to determine that for bathymetry maps, a ground truth spacing of 1 mile/point was acceptable, we are continuing our research to refine this finding.

Validating Ductility Scaling Relationships Using DIC

December 30, 0020 12:00 AM
Buxton, Ashley; Ahmed, Jasmin; Smith, Adam; Rowley, Robert; Kingstedt, Owen; Berke, Ryan (Utah State University)
Faculty Advisor: Berke, Ryan (College of Engineering, Menanical and Aerospace Engineering Department)

As nuclear facilities grow older, the Department of Energy (DOE) seeks to understand how materials degrade under irradiation conditions. However, engineering-scale radioactive specimens are expensive to irradiate and difficult to handle. Thus, there is significant interest in new methods to characterize materials using miniaturized specimens. In recent years, several promising techniques have gained popularity (for example: nano-indentation, MEMs-based micro-tension, or nano-pillar compression), but there remains a significant gap in translating measurements at a micro- or nano-scale to material properties at an engineering scale.
In the late stages of ductility testing, localized necking means that two specimens of the same material but differing dimensions can produce drastically different elongation measurements. Barba's Law addresses this through scaling relationships. The law's key assumption is that similarly sized tensile specimens develop geometrically similar necked regions. The presented work utilizes this relationship to bridge ductility tests across length scales.
Throughout this research, full-field displacements are measured using Digital Image Correlation (DIC). In brief, DIC works by recording images of a specimen before and after deformation with a digital camera, then comparing the images to compute deformation. The gauge region is then varied to assess whether Barba's Law can be satisfied with a single long specimen and multiple shorter gauge regions. Multiple physical specimen lengths are then measured to validate the DIC results.

Transverse Curvature Measurements of Lumbar Vertebral Bodies

December 30, 0020 12:00 AM
Brevin, Brevin; Taylor, Aubrie; Bowden, Anton (Brigham Young University)
Faculty Advisor: Bowden, Anton (Brigham Young University, Mechanical Engineering)

The development of precise lumbar vertebral devices depends heavily on the varying dimensions of vertebrae themselves. Upon literature review it was found that while much data presents spinal measurements for curvature in kyphosis, lordosis, and scoliosis, as well as individual vertebral heights and diameters, little to no data has been published regarding the transverse curvature of the vertebrae. As this measurement is requisite for the designing of a lumbar vertebral clamp currently being developed in our laboratory, the purpose of this work was to measure a variety of lumbar vertebrae, specifically characterizing lateral length, sagittal width, vertebral height, and the transverse curvature at the minimum lateral length. Dimensions were measured manually from dissected human spine samples using dial calipers and a measuring tape. 13 lumbar vertebrae from 3 cadaveric spines were measured. The average lateral length was 1.63 in (+/- 0.20 in) and the average transverse radius of curvature was 1.01 in (+/- 0.12 in). In future work, these measurements will be incorporated into the device design process for the lumbar vertebral clamp.

Water Entry Of Two Projectiles Side By Side

December 30, 0020 12:00 AM
Mortensen, Chase (Utah State University)
Faculty Advisor: Truscott, Tadd (College of Engineering, Mechanical and Aerospace Engineering Department)

The aim of this project is to analyze water entry based cavity formation of two projectiles and how it affects their motion. The study will be conducted by dropping two horizontally spaced similar-sized hydrophobic spheres from different heights into a quiescent water pool. The results will look at the position, acceleration and forces of the two sphere system and how they differ from a single sphere water entry. In addition, the horizontally spaced spheres show a change in the accompanying cavity formation and evolution when compared to past studies of a single sphere entry. Preliminary data suggests that the closer you drop projectiles to one another in water, the resulting of cavity-seal time, cavity shape, drag experienced by the bodies while in water could differ from single projectiles entering the water.

Analysis of the mobile app for timely self-management treatment of Type 2 Diabetes

December 30, 0020 12:00 AM
Mark Langeveld (University of Utah)
Faculty Advisor: Langeveld, Mark (University of Utah, Engineering)

Introduction:

The risk of getting type 2 diabetes has been widely found to be associated with lower socioeconomic position across countries. Not only the financial burden but also the clinicians often having the long waitlists for one-on-one assessment of chronic disease patient's behavior makes it difficult for timely treatment and monitoring supplies. Among the top 10 diseases that are causes of death, Diabetes is the most self-manageable chronic disease. Type 2 diabetes patients often require insulin therapy as well as self-managing on eating well and exercising. A mobile app can be applied as a self-managing mechanism that treats chronic complications of diabetes. I will describe my work to analyze five commercially available mobile apps that are effective in improving diabetes-related outcomes.

Method:

I analyzed with technology reviews of iterative mobile app design of each mobile app(Glucose Buddy, Diabetes care4Life, Diabetes Diary, BlueStar Diabetes, Gather Health) and reviewing comments from peer and public review. I organized the findings by test process with diabetes patients through three categories for this report: 1. App features (on which platform that the app is available, what the app does, cost, etc.) 2. App usability and quality of tracking presented as an average of three scores given by the University of Utah healthcare researchers 3. Summary of the evidence from the evaluation of each category of patients who are motivated and who were not: monitoring glycemic control, glucose control, blood pressure, HbA1c improvement, weight, and diabetes treatment satisfaction

Result:

The record comprised 30 patients, of which 10 completed the mobile app module for 6 weeks. Demographics were similar for users and nonusers. Of the application users, the behavior improvement of pre-test and posttest scores were better for users compared with non-users (+1.8%). Of the users, 92% reported that the application had significant improvement (p < 0.05) in an outcome compared with HbA1c and glycemic control. The usability score of each app evaluated by healthcare researchers was (Glucose Buddy: 72.3 (out of 100), Diabetes care4Life: 45, Diabetes Diary: 16, BlueStar Diabetes: 85, Gather Health: 60) Without additional support from a health care provider, 5 mobile apps demonstrated an improvement in fasting blood glucose, 2-hour post-breakfast blood glucose, diabetes knowledge, and self-care behaviors compared with controls.

Conclusion:

I have analyzed and created a prototype of a mobile app that fills the gap between efficacy, cost, and features from the limited statistical evidence. Patients were satisfied with the use of the mobile health app for Diabetes, and the use of the program significantly improved their behavior and knowledge retention. Tailoring the traceable evaluation of mobile app to patient preferences and needs and updating the tools could empower and guide the patients to effective mobile apps in improving diabetes outcomes.

Cell-Free Protein Synthesis as Biosensor

December 30, 0020 12:00 AM
Hunt, J. Porter; Wilding, Kristen M.; Barnett, R. Jordan; Robinson, Hannah; Soltani, Mehran; Cho, Jae; Bundy,Bradley C. (Brigham Young University)
Faculty Advisor: Bundy, Bradley (Brigham Young University, Chemical Engineering)

In this research, a cell-free protein synthesis (CFPS) platform is used to create a biosensor aimed towards detecting concentrations of amino acids or enzymes in a sample. A CFPS biosensor is an effective method to detect these molecules due to its rapid, high-throughput nature. Additionally, the biosensor analysis can be done on-site. Potential applications of this assay include monitoring dietary health, adjusting cancer treatments, and the diagnosis of the onset of certain disease.

Design, Manufacturing and Characterization of Flexible Silicone Strain Gauges for Measurement of Human Back Motion

December 30, 0020 12:00 AM
Howlett, Dylan (Brigham Young University)
Faculty Advisor: Fullwood, David (Brigham Young University, Mechanical Engineering); Bowden, Anton (Brigham Young University, Mechanical Engineering)

Identifying motion of the human spine, and irregularities in movement can be vital for diagnosing a back injury patient. Modern methods of identifying injuries include an expensive X-ray or MRI scan, simple inspection by a trained professional, or very primitive two point instruments. We have developed a strain gauge with high flexibility that is able to withstand repeated high-strain. This gauge is able to properly measure the motion of the lumbar spine, allowing health professionals and patients to monitor the state of their back. This paper presents a survey of different manufacturing methods for these gauges, including screen printing, extrusion and compression molding. The gauges are analyzed for their piezoresistivity vs strain and optimized for the desired application.

Effects of Curvature on Optical Coherence Tomography Images used for the 3D Reconstruction of a Deployed Stent

December 30, 0020 12:00 AM
Keyser, Michael A.; Jiang, David; Timmins, Lucas H. (University of Utah)
Faculty Advisor: Timmins, Lucas (University of Utah, Biomedical Engineering)

Coronary heart disease is one of the leading causes of death in the United States and is caused by a buildup of atherosclerotic plaque blocking blood flow in a coronary artery. Stents are used to restore blood flow to affected regions by reopening the blocked artery. Failure among stents is common, and a 3D reconstruction of a stent can be used to investigate the cause of failure. We have previously established a 3D stent reconstruction technique that utilizes optical coherence tomography (OCT) and micro-computed tomography imaging data to provide a high-spatially resolved stent reconstruction. However, analysis revealed that each OCT image was subjected to a curvature induced rotational drift due to the imaging process. Thus, the purpose of this study was to examine the relationship between vessel curvature and OCT image drift. Four separate channels of constant curvatures, 0, 1/60, 1/30, and 1/20 mm^-1 were drilled out of Delrin using a CNC machine resulting in a 'U' shaped channel. Each channel was imaged, and the rotational drift for the curvature of that channel was determined by calculating the average change in image orientation. The orientation of an image was the angle of the top edge of the 'U' with respect to a horizontal line. Results demonstrated the rotational drift was -0.172, -0.598, -0.927, and -1.124 degrees for curvatures of 0, 1/60, 1/30, and 1/20 mm^-1 .We discovered the relationship between the curvature of the channel and the rotational drift of an image to be _=-19.12_-0.227 where _ is the curvature of the channel _ is the rotational drift of the OCT image in degrees. In conclusion, we demonstrated that there is a linear relationship between curvature and OCT image circumferential drift that can be used to improve the overall accuracy of the reconstruction.

Engineering Origami-Inspired Furniture

December 30, 0020 12:00 AM
Parkinson, Bethany; Andrews, David; Magleby, Spencer (Brigham Young University)
Faculty Advisor: Magleby, Spencer (Brigham Young University, Mechanical Engineering)

Increasing worldwide urbanization is leading to a rising population of people living in apartments. Apartments typically have short leases, which lead to a high turnover rate, or number of renters that move in per year. For example, the 2018 turnover rate in New York City was 30.5%. People who move this often usually buy cheap furniture each time they change apartments, because carrying furniture on public transportation is impractical. The goal of our research is to create furniture that allows people who move often to avoid re-purchasing furniture. This goal leads to three design requirements. First, the furniture should be easily collapsed and deployed. This permits the furniture to be conveniently stored and transported. Ideally, the furniture could be deployed with one hand. Second, the furniture should be inexpensive, both in manufacturing processes and material selection. Lastly, the furniture should be aesthetically pleasing. We have utilized origami as a method to achieve these design objectives, because it can be deployed in one motion.

There are significant challenges to designing and implementing origami-inspired furniture. For example, any joints between the legs, seat, table, and back of the furniture need to allow not only for the furniture to be stable in its deployed state, but also to be flat in its non-deployed state. Additionally, the employed joints must account for the thickness of the material. Each type of joint that is adaptable to thick materials was therefore considered and analyzed in the specific loading situation of a chair. Using these criteria and three unique types of joints, a variety of chairs were conceptualized. After prototyping, each type of chair was expanded to create an entire family of furniture, including a table, stool, and couch. The principles and design approaches developed in this project have generated origami-inspired furniture that is easily transportable, functional, inexpensive, comfortable, and aesthetic.

Analysis and Optimization of Wind Harvesting Aircraft

December 30, 0020 12:00 AM
Mehr, Judd; Alvarez, Eduardo; Cardoza, Adam; Ning, Andrew (Brigham Young University)
Faculty Advisor: Ning, Andrew (Brigham Young University, Mechanical Engineering)

Wind power is an attractive alternative energy source because it is sustainable, clean and cost effective. However, wind energy is difficult to harvest because wind is irregular, seasonal, and often far away from urban areas. Several organizations have sought to solve this problem by designing wind harvesting aircraft, called windcraft. Windcraft are aircraft that are tethered to the ground, propel themselves into the air, enter steady flight in a crosswind, and allow the propellers to spin freely. The wind keeps the windcraft aloft and forces the propellers to turn backwards, turning them into turbines. Power generated from the turbines is sent down the tether and stored. Windcraft provide several advantages beyond those of conventional wind turbines, including high portability due to its smaller weight.

This research employs aerodynamic analysis to determine the forces on the turbines and lifting surfaces of a windcraft modeled after the Makani M600, an 8-rotor prototype produced by Makani Technologies. The analysis is a combination of modeling methods with varying fidelity, including the vortex lattice, vortex particle, and blade element momentum methods. The vortex lattice method models the lifting surface as a sheet of vortices that have the same capability to push on the oncoming flow as the lifting surface would. The vortex particle method uses a set of discretized fluid motion equations in a form that allows for the solution of the strength of the vortex at each point in the flow. The blade element momentum method uses two theories, the blade element theory and the momentum theory, to calculate the power, thrust and axial air velocity of a propeller or turbine. The modeling methods are validated by using experimental data from The Mexico Project and NASA. We implement basic design space exploration to display this model's compatibility with design optimization.

Bubbles in Cell-Free Protein Synthesis Reactions

December 30, 0020 12:00 AM
Brad Bundy; Nelson, Andrew; Welton, Meagan (Brigham Young University)
Faculty Advisor: Bundy, Brad (Brigham Young University, Chemical Engineering)

Cell-free protein synthesis (CFPS) is the process of making proteins without the limiting environment of a cell. The CFPS system allows us to modify and engineer proteins in ways that have not been done before. This technology has the potential to significantly impact the fields of protein therapeutics, unnatural amino acid insertion, and biosensors. Our research looks into optimizing the process of CFPS. Specifically, we want to understand what the impact of adding bubbles to a cell-free reaction is on CFPS yields. We want to know if adding bubbles to the CFPS mixture prior to incubation will increase the oxygenation of the reaction and affect protein production rates. This knowledge will help us optimize the CFPS process for future applications.

Applications of Radiative Heat Transfer in Combustion Modeling

December 30, 0020 12:00 AM
Jensen, Sally; Lignell, David (Brigham Young University)
Faculty Advisor: Lignell, David (Ira A. Fulton College of Engineering, Chemical Engineering)

Radiative heat transfer is central to many chemical engineering processes. Turbulent combustion accounts for 80% of the world's energy. Understanding radiative heat transfer is important for efficient design, regulating pollutant emissions, and doing hazard analyses of these processes. Radiation depends on temperature as well as local composition fields. It is important for combustion because it affects heat transfer to surrounding environments. This in turn impacts fire spread in wild fires as well as heat transfer in power plant boilers and other such applications. Radiation also directly affects the temperature field. The temperature field in turn feeds back to the radiation and impacts the formation of pollutants, such as soot, NOx and other species. Modeling is difficult because computing the absorption coefficient depends on the spectral properties of molecules. Computing these requires millions of spectral bands, which is too expensive to compute for normal applications. A common method that is currently used to predict radiation is the Weighted-sum-of-gray-gases model. Doctors Solovjov and Webb developed a new method called the Rank Correlated Integration of the Spectral Line Weighted-sum-of-gray-gases (rcSLW) model. It is a complex model that is difficult to implement, but it is accurate. It has been implemented in python and in C++. The model has been provided on github to allow for easy access by the community. We will present an overview of the rcSLW model and code interface as well as show selected results applied to systems of interest with respect to combustion.

GPS-Denied Navigation with Artificial Neural Networks

December 30, 0020 12:00 AM
Wheeler, Jesse; Bean, Brennan; Schwartz, Sam; Christensen, Randy; Moon, Kevin (Utah State University)
Faculty Advisor: Moon, Kevin (College of Science, Mathematics and Statistics Department)

Unmanned aerial vehicles (UAV) often rely on GPS for navigation. GPS signals, however, are very low in power and are easily jammed or otherwise disrupted. Precise measurements of initial position and motion at the time of GPS signal loss would allow navigation for UAV navigation in GPS denied regions. This work presents a method for determining the navigation errors present at the beginning of a GPS-denied period by utilizing data from a synthetic aperture radar (SAR) system. This is accomplished by comparing an online-generated SAR image with a reference image obtained a priori. The distortions relative to the reference image are learned and exploited with a convolutional neural network to recover the initial navigational errors, which can be used to recover the true flight trajectory throughout the synthetic aperture. Our neural network approach outperforms traditional navigation recovery methods as well as other machine learning models.

Flexible Wiring Systems in Biomechanical Sensing Devices

December 30, 0020 12:00 AM
Pulsipher, Kyle; Despain, Dillon; Wood, David; Fullwood, David T.; Bowden, Anton E. (Brigham Young University)
Faculty Advisor: Bowden, Anton (Brigham Young University - Ira A. Fulton College of Engineering, Mechanical Engineering); Fullwood, David (Brigham Young University - Ira A. Fulton College of Engineering, Mechanical Engineering)

Design and Testing of Flexible Wiring Systems in Biomechanical Devices
Kyle Pulsipher, Dillon Despain, David Wood, David T. Fullwood, Anton E. Bowden
A major challenge to wearable electronic devices is the implementation of required wiring and hardware that can accommodate large deformations and strain. For example, several current biomechanical engineering projects utilize a nanocomposite, wide-range, wearable strain sensing technology developed at BYU. Our research challenge was to create a wearable system of conductive links between a multi-sensor system and a microcontroller, while keeping the system low-profile, inexpensive, and functional when experiencing strains of at least 60%.

Several solutions were hypothesized and tested, including experimental silicone composite solutions with dispersed conductive nanofillers. Mechanical solutions were also contemplated, in the form of geometrically positioning a traditional wire in such a way that it could strain the required amount.

Our final solution utilizes a fine-gauge wire shaped into a sine curve, whose period and amplitude are controlled, such that the stretched length (the arc length of the sine curve) is a required strain factor longer than the period of the function. The wire is coated in an elastic silicone body that maintains the wire at the unstrained shape and length. Our implementation provides 130% of the wiring system and accommodates 16 independent sensor connections.

The wiring system is positioned in such a way that the wires are hidden in the artistic form of the sensing system. This electrical structure is both highly practical and aesthetically pleasing.

Electrospinning of Spider Silk Protein/Chitosan Composites for Neurological Tissue Engineering

December 30, 0020 12:00 AM
Bailey J. McFarland, Cheng Chen, Asfand Yar Khan, Harley Cragun, Justin A. Jones and Yu Huang (Utah State University)
Faculty Advisor: Huang, Yu (College of Engineering, Biological Engineering Department); Jones, Justin (College of Science, Biology Department)

Neurological diseases are the largest cause of disability worldwide. Tissue engineering approaches are desirable as they can be used to treat these diseases by replacing damaged and non-repairable brain tissues with engineered materials. Electrospinning of bioactive molecules is a promising materials engineering method to culture neurons and support nervous tissue growth. This suitability for neural cell culture is due to the electrospun material's fibrous and porous structure that mimics the structure of the extracellular matrix. The electrospinning process also allows for the controllable development of complex 3D cell culture, which is key to the creation of viable neural connections. In addition, the formation of both aligned and unaligned layers of fibers allows for intricate guiding of cell morphology that improves outcomes in neural cultures. Finally, the choice of appropriate bioactive materials can improve neurological cell culture. Spider silk, a bioactive protein, contains sequences of amino acids that support nerve cell binding and scaffolding, in complement to which, chitosan fibers have been shown to promote the healthy growth of neural cells.

This project develops a novel method of electrospinning a fibrous scaffold for neural tissue engineering from solutions of recombinant spider silk protein and chitosan. Preliminary results in this study are promising and add to the body of research in neural tissue engineering. These bioactive materials paired with the morphological benefits of electrospinning allow an opportunity to create a substrate that can improve stem cell differentiation into healthy neurons.

Designing a Code for Private Machine Learning

December 30, 0020 12:00 AM
Liu, Xintong (University of Utah)
Faculty Advisor: Ji, Mingyue (College of Engineering, Department of Electrical and Computing Engineering)

One of the significant challenges of the machine learning faces today is how to deal with the privacy constraint of the user in a large-scale and distributed communication network. A myriad of data produced by billions of distributed devices need to be sent into the central cloud and to be managed, but what happens if the user does not want to send his/her data to the central cloud. It is reasonable that many users expect the data they send is being protected and maintain privacy. So, we are thinking about whether it is possible to create an individual machine learning in the application of Federated Learning so that the user's data will be protected from the privacy constraints. In this case, the raw data will not be known by anyone except the owner of these data. So, there would be all unknown input data pass through the private machine learning model, and the generated result, which is still hidden data will be sent back to the user. The main topic of the presentation is the designed codes which produces a private configuration with non-linear computation for the learning model and enable privacy constraints for the user's data.

Controlled Flight Through Morphing Wing Aircraft

December 30, 0020 12:00 AM
Moulton, Benjamin (Utah State University)
Faculty Advisor: Hunsaker, Doug (College of Engineering, Mechanical and Aerospace Engineering Department)

A morphing allows for more efficient controlled flight. Morphing wings induce a continuous deflection of control surfaces. Deflection can be caused by compliant mechanisms and composite materials. Factors contributing to efficient morphing wings range from a continuous morphing trailing edge to stiffness and flexure. Wing stiffness supports aerodynamic loading. Wing flexure supports transverse deflection, or twist of the wing trailing edge. Graduate students in the USU Aerolab have written an algorithm to optimize where these deflections should occur on the wing. The student seeks to build a morphing wing to demonstrate the success of the optimization code. Different manufacturing methods are explored. 3D printing provides the most promising results. The 3D printing of thermoplastic materials allows for shear and deflection.

Applications of CFPS as an Amino Acid Biosensor

December 30, 0020 12:00 AM
Hunt, J. Porter; Barnett, R. Jordan; Robinson, Hannah; Wilding, Kristen; Bundy, Bradly C. (Brigham Young University)
Faculty Advisor: Bundy, Bradly (BYU Ira A. Fulton College of Engineering, Chemical Engineering)

Amino acid concentration assays assist both healthcare providers and patients in determining treatment plan options and diagnosis for diseases ranging from genetic conditions to eating disorders. Cell free protein synthesis provides a rapid, inexpensive platform where a single amino acid assay gives the concentration in that sample. As a biosensor, this assay has proven to provide sensitive and accurate results and has an extensive range of applications. Progress towards a simple product that anyone could use to test amino acid concentrations represents a major contribution to the healthcare industry.