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2020

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Articles 6121 - 6150 of 10650

Full-Text Articles in Engineering

Machine Learning Modeling Of Horizontal Photovoltaics Using Weather And Location Data, Christil Pasion, Torrey Wagner, Clay Koschnick, Steven Schuldt, Jada Williams, Kevin Hallinan May 2020

Machine Learning Modeling Of Horizontal Photovoltaics Using Weather And Location Data, Christil Pasion, Torrey Wagner, Clay Koschnick, Steven Schuldt, Jada Williams, Kevin Hallinan

Mechanical and Aerospace Engineering Faculty Publications

Solar energy is a key renewable energy source; however, its intermittent nature and potential for use in distributed systems make power prediction an important aspect of grid integration. This research analyzed a variety of machine learning techniques to predict power output for horizontal solar panels using 14 months of data collected from 12 northern-hemisphere locations. We performed our data collection and analysis in the absence of irradiation data-an approach not commonly found in prior literature. Using latitude, month, hour, ambient temperature, pressure, humidity, wind speed, and cloud ceiling as independent variables, a distributed random forest regression algorithm modeled the combined …

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Gjendja Aktuale E Sistemit Energjetik Dhe Potenciali I Energjisë Së Ripërtëritshme Në Kosovë, Nezir Spanca May 2020

Gjendja Aktuale E Sistemit Energjetik Dhe Potenciali I Energjisë Së Ripërtëritshme Në Kosovë, Nezir Spanca

Theses and Dissertations

Kërkesa ditore për energji nga popullata në të gjithë botën është duke u rritur ndërsa toka në formën e saj nuk mund të ndryshojë ose të paktën i duhen miliona vite për të recikluar burimet e veta konvencionale. Nevoja për energji dhe shërbime të lidhura me të për të kënaqur zhvillimin shoqëror dhe ekonomik të njeriut, mirëqenien dhe shëndetin po rritet. Fokusimi në burime të ripërtëritshme për të ndihmuar në zbutjen e ndryshimit të klimës është një qasje e shkëlqyeshme që duhet të jetë e qëndrueshme në mënyrë që të plotësojë kërkesën për energji të brezave të ardhshëm. Përkundër këtyre …

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Removal Of Fluoride From Mine Water Via Adsorption For Land-Applied Soil Amendment, Kevin Le, Adrian Damian, Mary Johnson, Ethan Phan, Courtney Golman, Michelle Dopp, Jacqueline Payne May 2020

Removal Of Fluoride From Mine Water Via Adsorption For Land-Applied Soil Amendment, Kevin Le, Adrian Damian, Mary Johnson, Ethan Phan, Courtney Golman, Michelle Dopp, Jacqueline Payne

Chemical Engineering Undergraduate Honors Theses

The team researched, designed, and economically analyzed a full-scale adsorption column system to be applied in mining processes that leave high amounts of fluoride in their effluent. This system was designed to remove fluoride from water saturated with calcium sulfate, as calcium sulfate is present in high amounts in certain mining processes. Currently, high density sludge (HDS) is commonly employed to reduce fluoride concentrations, but due to solubility limits the sludge treatment cannot lower fluoride below 10 mg/L (ppm). The current enforceable EPA standard for discharged water is at 4 mg/L (ppm), although mining companies anticipate that this standard will …

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Removal Of Fluoride From Mine Water Via Adsorption For Land-Applied Soil Amendment, Michelle Dopp, Kevin Le, Ethan Phan, Mary Johnson, Jacqueline Payne, Adrian Damian, Courtney Golman May 2020

Removal Of Fluoride From Mine Water Via Adsorption For Land-Applied Soil Amendment, Michelle Dopp, Kevin Le, Ethan Phan, Mary Johnson, Jacqueline Payne, Adrian Damian, Courtney Golman

Chemical Engineering Undergraduate Honors Theses

The Moo Pig Sooie’s researched, designed, and economically analyzed a full-scale adsorption column system to be applied in mining processes that leave high amounts of fluoride in their effluent. This system was designed to remove fluoride from water saturated with calcium sulfate, as calcium sulfate is present in high amounts in certain mining processes. Currently, high density sludge (HDS) is commonly employed to reduce fluoride concentrations, but due to solubility limits the sludge treatment cannot lower fluoride below 10 mg/L (ppm). The current enforceable EPA standard for discharged water is at 4 mg/L (ppm), although mining companies anticipate that this …

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Synthesis Of Nickel-Titanium Intermetallic Surface Coatings Via Electrolytic Plasma Processing, Brody Allen Moore May 2020

Synthesis Of Nickel-Titanium Intermetallic Surface Coatings Via Electrolytic Plasma Processing, Brody Allen Moore

Material Science and Engineering Theses - Archive

Electrolytic plasma processing (EPP) is an environmentally friendly surface cleaning and deposition technique. Dependant on circuit polarity, anionic or cationic species can be deposited from an aqueous electrolyte bridge, resulting in characteristic nanograin surface morphology and very high deposition rates. This work was conducted to study the EPP process, develop optimal parameters for the synthesis of very hard surface coatings, and study the resultant physical and electrochemical properties of produced titanium-nickel intermetallic surfaces. This study focuses on Ni deposited onto pure Ti surfaces for improvement of surface wear, hardness, and corrosion properties while retaining uncompromised Ti bulk characteristics. The surface …

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Earth/Space Science - Earth's Place In Space: Seasonal Change, Elizabeth Martinez, Peg Steffen May 2020

Earth/Space Science - Earth's Place In Space: Seasonal Change, Elizabeth Martinez, Peg Steffen

Model NGSS Lessons: 4th - 5th Grade

A key Disciplinary Core Idea for understanding our place in space is that the orbits of Earth and the sun and of the moon around Earth cause observable patterns. These include day and night; daily changes in the length of shadows; and different positions of the sun, moon, and stars at different times. There are many misconceptions about earth’s orbit but it is important to remember and to convey to students that Earth is moving around the Sun and the Moon is moving around us. What we see each day with the motion of the Sun moving across the sky …

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Cascaded Linear Regulator With Negative Voltage Tracking Switching Regulator, Ernest Lei May 2020

Cascaded Linear Regulator With Negative Voltage Tracking Switching Regulator, Ernest Lei

Master's Theses

DC-DC converters can be separated into two main groups: switching converters and linear regulators. Linear regulators such as Low Dropout Regulators (LDOs) are straightforward to implement and have a very stable output with low voltage ripple. However, the efficiency of an LDO can fluctuate greatly, as the power dissipation is a function of the device’s input and output. On the other hand, a switching regulator uses a switch to regulate energy levels. These types of regulators are more versatile when a larger change of voltage is needed, as efficiency is relatively stable across larger steps of voltages. However, switching regulators …

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Quantification Of Nocturnal Blood Pressure Oscillations In Obstructive Sleep Apnea Patients, Yao Shun Chuang May 2020

Quantification Of Nocturnal Blood Pressure Oscillations In Obstructive Sleep Apnea Patients, Yao Shun Chuang

Bioengineering Theses - Archive

An approach to quantifying and analysis of nocturnal blood pressure (BP) variations that are elicited by sleep-disordered breathing (SDB) is presented. A sample-by-sample aggregation of the dynamic BP variations during normal breathing and BP oscillations prompted by apnea episodes is performed. This approach facilitates the visualization and analysis of BP oscillations. Nocturnal BP oscillations reflect the cardiovascular stresses that SDB mediates and may be of clinical significance. Preliminary results from an analysis of full night study of 10 SDB subjects (8 Male 2 Female, 53±5.7 yrs., Body Mass Index 34.5±7.8 kg/m2, Apnea-Hypopnea Index 63.5±28.7) are presented. Aggregate trajectory and quantitative …

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Integrated Photonic Device, Brittney Kuhn May 2020

Integrated Photonic Device, Brittney Kuhn

Student Scholar Symposium Abstracts and Posters

In computer mediated communication networks, information is typically encoded optically to transmit signals over long distances. At a network node, the optical signal is transformed into the electrical domain, processed electronically, and transformed back to an optical state to reach its destination. Transitioning between optical and electrical encoding of the signal is a potential security weak point, especially for quantum communication links. If information can remain in one state as it travels through the network, then security breaches can be detected and dealt with more easily. Furthermore, keeping the information in one state can reduce power consumption in the network. …

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Remediation Of Crude Petroleum Oil-Water Emulsions Using Microalgae, Mohamed Shafi May 2020

Remediation Of Crude Petroleum Oil-Water Emulsions Using Microalgae, Mohamed Shafi

Civil and Environmental Theses

Crude petroleum oil spills are among the most important organic contaminations, which result from uncontrolled releases and spillages during transportation or storage. The separated oils on that accumulate on top of the water can be removed by various conventional skimming methods. However, the emulsified portions that remain within the water phase are more difficult to remove and pose significant threats to the environment and could tamper the tertiary treatment in a wastewater treatment plant. Biological treatment, using bacteria, have proven to be an effective method in the removal of the emulsified oils. However, the biomass produced in this case does …

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Machine Learning Modeling Of Horizontal Photovoltaics Using Weather And Location Data, Christil Pasion, Torrey J. Wagner, Clay Koschnick, Steven J. Schuldt, Jada B. Williams, Kevin Hallinan May 2020

Machine Learning Modeling Of Horizontal Photovoltaics Using Weather And Location Data, Christil Pasion, Torrey J. Wagner, Clay Koschnick, Steven J. Schuldt, Jada B. Williams, Kevin Hallinan

Faculty Publications

Solar energy is a key renewable energy source; however, its intermittent nature and potential for use in distributed systems make power prediction an important aspect of grid integration. This research analyzed a variety of machine learning techniques to predict power output for horizontal solar panels using 14 months of data collected from 12 northern-hemisphere locations. We performed our data collection and analysis in the absence of irradiation data—an approach not commonly found in prior literature. Using latitude, month, hour, ambient temperature, pressure, humidity, wind speed, and cloud ceiling as independent variables, a distributed random forest regression algorithm modeled the combined …

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Improvement Of Geometric Quality Inspection And Process Efficiency In Additive Manufacturing, Yu Jin May 2020

Improvement Of Geometric Quality Inspection And Process Efficiency In Additive Manufacturing, Yu Jin

Graduate Theses and Dissertations

Additive manufacturing (AM) has been known for its ability of producing complex geometries in flexible production environments. In recent decades, it has attracted increasing attention and interest of different industrial sectors. However, there are still some technical challenges hindering the wide application of AM. One major barrier is the limited dimensional accuracy of AM produced parts, especially for industrial sectors such as aerospace and biomedical engineering, where high geometric accuracy is required. Nevertheless, traditional quality inspection techniques might not perform well due to the complexity and flexibility of AM fabricated parts. Another issue, which is brought up from the growing …

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Simulation Modeling Of Cross-Dock And Distribution Center Based Supply Chains, Ghewa Al Chall May 2020

Simulation Modeling Of Cross-Dock And Distribution Center Based Supply Chains, Ghewa Al Chall

Graduate Theses and Dissertations

Companies are implementing new strategies to meet the customer requirements in terms of quality, timing, and cost. One of these strategies is cross-docking, which can be defined as the process of consolidating the products coming from different suppliers, but having the same destination, with minimal handling and almost no storage between loading and unloading of the goods. The purpose of this research is to investigate the benefits of having a cross-docking facility in a supply chain. In this research, we focus on developing discrete event simulation models using the opensource Java Simulation Library (JSL). Also, we work on augmenting an …

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Additive Manufacturing Of Dense We43 Mg Alloy By Laser Powder Bed Fusion, Holden Hyer, Le Zhou, George Benson, Brandon Mcwilliams, Kyu Cho, Yongho Sohn May 2020

Additive Manufacturing Of Dense We43 Mg Alloy By Laser Powder Bed Fusion, Holden Hyer, Le Zhou, George Benson, Brandon Mcwilliams, Kyu Cho, Yongho Sohn

Mechanical Engineering Faculty Research and Publications

WE43 is a high-strength, corrosion-resistant Mg-alloy containing rare earths such as Y and Nb, and has potential for many lightweight structural or bioresorbable prosthetic applications. In this study, additive manufacturing of dense WE43 alloy by laser powder bed fusion (LPBF) from gas atomized powders has been accomplished through studies involving single track scan of wrought WE43, parametric variation of LPBF, microstructural analysis and mechanical testing, both in compression and tension. The Archimedes method and image analyses from optical micrographs were employed to document the LPBF of dense (>99 % relative density) WE43 using optimum parameters of 200 W laser …

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Locating Emergency Shelters While Incorporating Spatial Factors, Justin Taylor May 2020

Locating Emergency Shelters While Incorporating Spatial Factors, Justin Taylor

Graduate Theses and Dissertations

In the immediate response phase of a natural disaster, local governments and nonprofit agencies often establish shelters for affected populations. Decisions regarding at which locations to open shelters are made ad hoc based on available building inventory, and may result in high travel impedance to reach shelters and congestion. This thesis presents a shelter location optimization model based on the two-step floating catchment area (2SFCA) method. The 2SFCA method creates a shelter accessibility score for each areal unit (e.g., census block group) which represents the ability for persons in the unit to access shelter capacity with low travel impedance, relative …

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Characterization Of Avidin And Case9 Single Protein Molecules By A Solid-State Nanopore Device, Haopeng Li May 2020

Characterization Of Avidin And Case9 Single Protein Molecules By A Solid-State Nanopore Device, Haopeng Li

Graduate Theses and Dissertations

The shape and charge of a protein play significant roles in protein dynamics in the biological system of humans and animals. Characterizing and quantifying the shape and charge of a protein at the single-molecule level remains a challenge. Solid-state nanopores made of silicon nitride (SiNx) have emerged as novel platforms for biosensing such as diagnostics for single-molecule detection and DNA sequencing. SSN detection is based on measuring the variations in ionic conductance as charged biomolecules translocate through nanometer-sized channels driven by an external voltage applied across the membrane. In this paper, we observe the translocation of asymmetric cylindrical structure CRISPR-Cas9 …

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Mathematical Modeling Of A Variable Mass Rocket’S Dynamics Using The Differential Transform Method, Ashwyn Sam May 2020

Mathematical Modeling Of A Variable Mass Rocket’S Dynamics Using The Differential Transform Method, Ashwyn Sam

Honors Theses

In this paper, the mathematical modelling of a rocket with varying mass is investigated to construct a function that can describe the velocity and position of the rocket as a function of time. This research is geared more towards small scale rockets where the nonlinear drag term is of great interest to the underlying dynamics of the rocket. A simple force balance on the rocket using Newton’s second law of motion yields a Riccati differential equation for which the solution yields the velocity of the rocket at any given time. This solution can then be integrated with respect to time …

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Predictive Modeling Of Iphone 7 Charge Rates Using Least Squares Curve Fitting, Grace Cahill May 2020

Predictive Modeling Of Iphone 7 Charge Rates Using Least Squares Curve Fitting, Grace Cahill

Honors Theses

In a time where individuals depend on their cell phones, the need for a long lasting and quick charging battery life is imperative. As information regarding how long a battery can remained charged is highly advertised, there is no information regarding how long it would take for a dead phone battery to completely charge. This study determined the amount of time it will take an iPhone 7 to charge from 0% to 100% using the standard charging cable under four different charging conditions. The charge percentage was recorded every two minutes until it was fully charged with this process being …

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Helios And Tenasi Results For The Workshop For Integrated Propeller Prediction, Aaron Crawford May 2020

Helios And Tenasi Results For The Workshop For Integrated Propeller Prediction, Aaron Crawford

Honors Theses

Beginning in 2018, the AIAA began the workshop for integrated propeller prediction. This effort was intended to bolster the CFD prediction capabilities of the aerospace community due to a resurgent interest in propeller driven vehicles for electric applications. The test bed for this workshop is the NASA X-57, a model of which was experimentally tested in the Lockheed Martin Low Speed Wind Tunnel in January 2019. Using the 3D scanned geometry provided by the workshop a mesh was created and all priority one simulations were performed using two flow solvers. The flow solvers used were Helios, developed by the ADD …

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Augmented Reality In A Dynamic Drone Based Environment, Christopher Davis May 2020

Augmented Reality In A Dynamic Drone Based Environment, Christopher Davis

Honors Theses

Augmented Reality (AR) and Unmanned Ariel Vehicles (UAVs) are fast advancing technologies, and this research seeks to combine them to offer an effective, user friendly approach for monitoring infrastructure. Drones provide a means to easily access otherwise difficult to reach locations and visualize useful information with Augmented Reality. A UAV employs a wide-angle view and, when paired with AR, this will enable the user to better complete their task by effortlessly providing the critical information they need in the most intuitive way possible. This research is particularly applicable for civil applications such as construction and monitoring of difficult to access …

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Materials-Processing Relationships For Metal Fused Filament Fabrication Of Ti-6al-4v Alloy., Paramjot Singh May 2020

Materials-Processing Relationships For Metal Fused Filament Fabrication Of Ti-6al-4v Alloy., Paramjot Singh

Electronic Theses and Dissertations

Additive manufacturing (AM) is at the mainstream to cater the needs for rapid tooling and small-scale part production. The metal AM of complex geometries is widely accepted and promoted in the industry. While several metal AM technologies exist and are matured to a level where expectation in terms of design and properties are possible to realize. But the metal AM suffers from the heavy expense to acquire equipment, isotropic property challenges, and potential hazards to work with loose reactive metal powder. With this motivation, the dissertation aims to develop the fundamental aspects to print metal parts with bound Ti-6Al-4V powder …

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Selective Laser Melting 17-4 Ph Stainless Steel And The Effect Of Varied Thermal Treatments On Fatigue Behavior., Sean Daniel Dobson May 2020

Selective Laser Melting 17-4 Ph Stainless Steel And The Effect Of Varied Thermal Treatments On Fatigue Behavior., Sean Daniel Dobson

Electronic Theses and Dissertations

Fatigue failure is the leading source of loss in industry. In order for new means of manufacturing to move towards mainstream use a complete understanding of material and mechanical behavior must be gained. This endeavor seeks to aide in that task by observing the fatigue behavior of selective laser melting (SLM) additive manufacturing (AM) specimens and the effect of differing thermal treatment conditions for an optimized AM process. Stainless steel 17-4 PH specimens were fabricated using SLM AM and thermally treated to three conditions: as-built, solutionized and hardened, and direct hardened. These specimens were characterized for material (powder quality, density, …

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Development Of An In Vitro Intervertebral Disc Innervation Model To Screen Neuroinhibitory Biomaterials, Sarah M. Romereim, Caleb A. Johnston, Adan L. Redwine,, Rebecca A. Wachs May 2020

Development Of An In Vitro Intervertebral Disc Innervation Model To Screen Neuroinhibitory Biomaterials, Sarah M. Romereim, Caleb A. Johnston, Adan L. Redwine,, Rebecca A. Wachs

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Pain originating from an intervertebral disc (discogenic pain) is a major source of chronic low back pain. Pathological innervation of the disc by pain‐sensing nerve fibers is thought to be a key component of discogenic pain, so treatment with biomaterials that have the ability to inhibit neurite growth will greatly benefit novel disc therapeutics. Currently, disc therapeutic biomaterials are rarely screened for their ability to modulate nerve growth, mainly due to a lack of models to screen neuromodulation. To address this deficit, our lab has engineered a three dimensional in vitro disc innervation model that mimics the interface between primary …

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Teaching Learning Newsletter Vol 1 Issue 1, Sastra Deemed To Be University May 2020

Teaching Learning Newsletter Vol 1 Issue 1, Sastra Deemed To Be University

TLC Newsletter

No abstract provided.

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Design And Verification Of Search Coil Inductance For Pulse Induction Metal Detection, David Desrochers May 2020

Design And Verification Of Search Coil Inductance For Pulse Induction Metal Detection, David Desrochers

Electrical Engineering Undergraduate Honors Theses

As violent attacks have increased at different venues such as schools, the need for affordable and effective metallic weapon detection has increased. Probing and scanning detection wands are the most common seen in use by guards. This project seeks to combine both probing and scanning coils into one pulse induction metal detector. The use of one drive circuit for both LC coil tank circuits further economizes the system. ANSYS Maxwell electromagnetic simulations are used to develop the geometries needed for sensitive metal detection. Analytical, simulation, and experimental methods are used to first verify the design flow for solenoid inductors. These …

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Opendrop Elisa: Surface Development For Digital Microfluidic Elisa Testing, Michaela Q. Mead, Madeline G. Jackson, Jacob G. Taylor May 2020

Opendrop Elisa: Surface Development For Digital Microfluidic Elisa Testing, Michaela Q. Mead, Madeline G. Jackson, Jacob G. Taylor

Biomedical Engineering

This project aimed to develop a process to create a hydrophobic coating with capture antibodies attached. This process was developed in an attempt to create a digital microfluidic platform upon which an enzyme-linked immunosorbent assay (ELISA) could be run, indicated for clinicians and educators in low-resource settings. Four requirements dictated the course of the design process: 1) the contact angle with water of the hydrophobic layer must be greater than 90º, 2) the colorimetric response of a positive ELISA result on our platform must be at least 85% of that run on polystyrene with the same result, 3) the platform …

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Discontinuous Grain Boundaries Of Forged René 41, Aaron Rabin, Bryce Bitter May 2020

Discontinuous Grain Boundaries Of Forged René 41, Aaron Rabin, Bryce Bitter

Materials Engineering

Certain nickel-based alloys, particularly René 41, characteristically have many low-angle grain boundaries (grain arrangements of less than 15 degrees), present in the microstructure of an in-use component. Frequently, these low-angle grain boundaries are not optically visible after the etching process, leading to the phenomena of discontinuous grain boundaries. There exists a risk for René 41 grain boundary characterization; since one cannot assume that a grain boundary continues beyond a discontinuity, the grain size requirements become difficult to meet. Despite favorable characteristics of René 41, such as the corrosion and oxidation resistance coupled with excellent strength at high temperatures, the risks …

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Spectral Absorption Coefficient Of Additive Manufacturing Polymers, Nicholas J. Wallace, Matthew R. Jones, Nathan B. Crane May 2020

Spectral Absorption Coefficient Of Additive Manufacturing Polymers, Nicholas J. Wallace, Matthew R. Jones, Nathan B. Crane

Utah Space Grant Consortium

As NASA turns to additive manufacturing processes, there is a need to ensure that the parts they produce are reliable. This is especially true when creating parts in space, where resources are limited and failure could result in catastrophe. Active thermography has shown potential as a non-destructive quality assurance technique for additive manufacturing processes. Heat transfer models used in active thermography techniques require accurate material property measurements in order to extract useful information about the system, including defect location. The spectral absorption coefficient, which determines the depth at which radiative power is absorbed into a surface, is a material property …

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Investigating Novel Biomarkers Associated With Aki Diagnosis And Risk, Lars Lofgren, Natalie Silverton May 2020

Investigating Novel Biomarkers Associated With Aki Diagnosis And Risk, Lars Lofgren, Natalie Silverton

Utah Space Grant Consortium

Acute kidney injury (AKI) is a common complication associated with cardiac surgery. Those patients who develop AKI have increased hospital costs, hospital LOS and odds of death. The current diagnostic criteria rely on serum creatinine measurements and urine output data. Serum creatinine is not renal specific. It is known that there are other factors that influence serum creatine concentrations other than renal injury. Serum creatinine levels are measured as concentrations which means large changes in fluid balance may alter the serum creatinine measurement. Urine output is not a reliable measurement of renal injury either. During surgery it is common to …

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A Reinforcement Learning Based Control Approach For Propofol-Induced Burst Suppression, Jason C. Huang, Scott C. Tadler, Brian J. Mickey, Keith Jones May 2020

A Reinforcement Learning Based Control Approach For Propofol-Induced Burst Suppression, Jason C. Huang, Scott C. Tadler, Brian J. Mickey, Keith Jones

Utah Space Grant Consortium

High-dose propofol is being investigated for its potential antidepressant effect. Propofol is titrated to induce burst suppression, a specific EEG pattern. However, propofol is difficult to dose due to uncertainty in each patient’s pharmacokinetics (PK) and pharmacodynamics (PD), and the lack of a commercially available monitor of propofol concentration. Clinicians currently infer the proper drug dose after observing the EEG response to the given dose. In this report we share our development of an automated controller to optimally administer propofol-induced burst suppression. We designed a deep deterministic policy gradient (DDPG) algorithm, which includes two deep neural networks and relates a …

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