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2026

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Articles 2581 - 2610 of 5390

Full-Text Articles in Engineering

Validity Of The Schrage Equation In Prediction Of Evaporation Rate Of Liquid N-Dodecane In High-Pressure Nitrogen Gas: A Molecular Dynamics Study, Wazih Tausif, Jordan Hartfield, Md Amin Haque, Zhi Liang May 2026

Validity Of The Schrage Equation In Prediction Of Evaporation Rate Of Liquid N-Dodecane In High-Pressure Nitrogen Gas: A Molecular Dynamics Study, Wazih Tausif, Jordan Hartfield, Md Amin Haque, Zhi Liang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Evaporation of liquid fuel in a high-pressure air is a process that critically influences fuel–air mixing in advanced propulsion systems. In this work, we use molecular dynamics (MD) simulations to study the validity and accuracy of the Schrage equation in quantifying the evaporation and condensation rates of n-dodecane (a diesel surrogate) in air (approximated as N2 gas) with gas pressure varying from 0 atm to above the critical pressure of n-dodecane. The MD simulation results show that the evaporation coefficient (αe) is higher than the condensation coefficient (αc) at the evaporating n-dodecane surface and is lower than αc at the …


Using Machine-Learning-Based Process Map To Guide Evaluation Of Inconel 625 Mechanical Properties In Laser Foil Printing, Yu Hsiang Wang, Sung Heng Wu, Hung Chu Chiang, Pen Ning Yu, Chia Hung Hung, Ming C. Leu May 2026

Using Machine-Learning-Based Process Map To Guide Evaluation Of Inconel 625 Mechanical Properties In Laser Foil Printing, Yu Hsiang Wang, Sung Heng Wu, Hung Chu Chiang, Pen Ning Yu, Chia Hung Hung, Ming C. Leu

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Inconel 625 is widely studied in powder-based additive manufacturing, but its processing characteristics and mechanical performance in foil-feedstock laser foil printing (LFP) remain largely unexplored. In this study, a gradient boosting regression (GBR)-based process map was developed for LFP of Inconel 625 using 32 single-track experiments. The GBR model achieved R2 values of 0.859 and 0.793 and mean absolute errors of 22.25 μm and 19.83 μm for melt-pool depth and width, respectively, outperforming second- and third-order polynomial regressions in capturing nonlinear melt-pool responses and distinguishing lack-of-fusion, conduction, and keyhole regimes. Three conduction-mode conditions with target depth-to-foil thickness ratios (D/T) …


Ai-Assisted Frame Selection For Sports Photography Using Computer Vision And Multi-Modal Image Metrics, Sahana Ganesh May 2026

Ai-Assisted Frame Selection For Sports Photography Using Computer Vision And Multi-Modal Image Metrics, Sahana Ganesh

Honors Scholar Theses

This project focuses on the design and development of an AI-assisted frame selection system that automatically analyzes sequences of sports images and ranks frames based on overall photographic and contextual value. Additionally, we will focus on providing insights into the Computer Vision and Artificial Intelligence techniques used to build it.

The application utilizes computer vision and machine learning techniques to evaluate multiple dimensions of image quality and content. These include technical image quality metrics such as sharpness, motion blur, and exposure; compositional metrics such as subject placement and visual balance; and semantic understanding through detection of players, ball location, pose, …


2026 Workshop On Bridging The Gaps: Tackling Microplastics And Nanoplastics Challenges In Coastal Ecosystems, Shenghua Wu, Kaushik Venkiteshwaran, Melike Dizbay-Onat, Alexandra Stenson, Jinhui Wang, Tina Miller-Way, Ebenezer Nyadjro, Bhuvnesh Bharti, John Weinstein, Yi Bao, Shihui Shen, Valerie Longa, Shenghua Zha, John Cleary, Marty Lind May 2026

2026 Workshop On Bridging The Gaps: Tackling Microplastics And Nanoplastics Challenges In Coastal Ecosystems, Shenghua Wu, Kaushik Venkiteshwaran, Melike Dizbay-Onat, Alexandra Stenson, Jinhui Wang, Tina Miller-Way, Ebenezer Nyadjro, Bhuvnesh Bharti, John Weinstein, Yi Bao, Shihui Shen, Valerie Longa, Shenghua Zha, John Cleary, Marty Lind

Workshops

This report presents the findings from the 2026 Workshop on Tackling Microplastics and Nanoplastics (MNPs) in Coastal Ecosystems, which took place in Mobile, Alabama. More than 140 experts from universities, government, industry, and community organizations gathered to address the increasing issue of MNPs in coastal regions.


Mechatronics Undercling Report, Pierce Mcniven May 2026

Mechatronics Undercling Report, Pierce Mcniven

Mechatronics Final Projects

Design Summary

The device is an undercling walker, designed to traverse a hanging rope with the majority of the body underneath the rope and stop before it reaches the end. The walker uses legs, parts 4 and 5, which rotate to provide locomotion. They are powered by a D/C motor mounted on the L-shaped extension of part 1. That motor drives the gear labeled 2, which in turn spins the shaft identified as 3. The shaft then spins the legs. The motor, pressure sensor, and laser range finder are all interfaced with a PIC 16F88, which is used to determine …


Final Rope Walker Design Report, Gregory Cole, Pascale Easterday, Noelle Poquiz May 2026

Final Rope Walker Design Report, Gregory Cole, Pascale Easterday, Noelle Poquiz

Mechatronics Final Projects

No abstract provided.


Central Pattern Generator Test Bench Report, Stephanie Wing-Yee Lee, Dustin Wong, Joseph Hernandez May 2026

Central Pattern Generator Test Bench Report, Stephanie Wing-Yee Lee, Dustin Wong, Joseph Hernandez

Electrical Engineering

The project presents the design, fabrication, and implementation of a PCB test bench that interfaces with a custom VLSI chip designed to emulate the neural activity of a Central Pattern Generator (CPG). The test bench provides a precise and reliable platform for supporting signal operations and validating neuromorphic functionality. The design integrates both analog and digital circuitry to provide stable biasing, signal routing, and measurement access for chip characterization. The incorporation of op-amp buffers and adjustable potentiometers enables precise voltage tuning, resulting in controlled neuron-like behavior within the custom IC. The two-layer PCB supports modular interfacing with standard laboratory instruments …


Electric Charging Arm Mechanism - Echarm, Jacob A. Lewis, Gabriel A. Greer May 2026

Electric Charging Arm Mechanism - Echarm, Jacob A. Lewis, Gabriel A. Greer

Mechanical Engineering Student Research

As demand for electric and hybrid vehicles continues to rise, many EV owners rely on home charging in their garages. Gabriel Greer and I’s Senior Design Project, the Electric Charging Arm Mechanism (ECHARM), addresses this by creating a robotic system that autonomously detects a vehicle’s charging port, connects to it, and returns to a rest position when charging is complete. ECHARM is designed as a six-axis robotic arm with wrist and shoulder joints driven by stepper motors through custom cycloidal drive gearboxes. A closed-loop control system using rotary potentiometers ensures precise motion control. At the end of the arm is …


Developing Warning Signage For Harmful Algal Blooms At Lake Fayetteville, Abigail R. Evans May 2026

Developing Warning Signage For Harmful Algal Blooms At Lake Fayetteville, Abigail R. Evans

Biological Sciences Undergraduate Honors Theses

The presence of harmful algal blooms (HABs) poses many risk factors for human health, and once microcystin concentration has reached a certain level, that water source will be closed for the duration of the bloom. Agencies tend to use static signage with limited information to inform the public about the current status of the water, but a sign similar to the one used by the National Fire Danger Rating System can allow for constant updates detailing specific risk levels for the public. Using previously reported data on Lake Fayetteville, thresholds for risk factors that are easily measurable were determined. The …


Computer Vision And Machine Learning Approaches For Defect Detection In 3d-Printed Cementitious Materials: A Systematic Review, Muhammad Ali Musarat, Ruben Paul Borg, Jingjie Wei, Carl James Debono, Kamal Khayat May 2026

Computer Vision And Machine Learning Approaches For Defect Detection In 3d-Printed Cementitious Materials: A Systematic Review, Muhammad Ali Musarat, Ruben Paul Borg, Jingjie Wei, Carl James Debono, Kamal Khayat

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

3D printing is evolving at a fast pace in both the manufacturing and construction sectors. These advancements can greatly benefit these industries. However, the 3D printing of concrete structures presents some challenges due to defects in the 3D concrete printed elements. Hence, this study systematically reviews Artificial Intelligence (AI)-driven techniques, such as Computer Vision and Machine Learning, to identify surface defects that can occur in 3D-printed cementitious material structures. The adopted methodology was the PRISMA statement with the aim of reporting the systematic review and meta-analysis. Two well-known databases, Web of Science and Scopus, were utilised for data extraction of …


An Investigation Of The Restrained Expansion Behavior Of Bcsa And Sbcsa Concretes And Their Chemical Prestress Potential, Adhish Paudel May 2026

An Investigation Of The Restrained Expansion Behavior Of Bcsa And Sbcsa Concretes And Their Chemical Prestress Potential, Adhish Paudel

Graduate Theses and Dissertations

Belitic calcium sulfoaluminate (BCSA) cement, an alternative cement, is increasingly used in the United States for its fast-setting and rapid strength gain characteristics, particularly for rapid pavement construction and repair. In addition, BCSA exhibits some early age expansion when moist cured due to the formation of ettringite. Under restrained conditions, expansive cements can be used to generate chemical prestress in reinforced concrete or to offset prestress losses in prestressed concrete. This study investigates the restrained expansion of concrete made from traditional BCSA and a new BCSA cement formulation intended to provide increased initial expansion behavior. Concrete samples were tested using …


Enhancing Methods For Load Rating Bridge Timber Piles, Aashish Ghimire May 2026

Enhancing Methods For Load Rating Bridge Timber Piles, Aashish Ghimire

Graduate Theses and Dissertations

Timber piles are widely used in bridge foundations across the United States due to their low cost and ease of installation. The strength of a timber pile is dependent on many factors including wood species, unbraced length, support conditions, age and cross-sectional properties. Cross-sectional properties are highly impacted by the progression of biological deterioration which often is undetected when using standard DOT inspections methods. Current inspection practices rely primarily on subjective methods that provide limited quantitative information about a pile’s existing load-carrying capacity. Consequently, timber piles are inaccurately assessed and prematurely replaced. In response, this thesis investigates the relationship between …


Assessing Diffusive Gradients In Thin Films Passive Samplers For Pfas Quantitation In Aqueous Systems, Brianna Harris May 2026

Assessing Diffusive Gradients In Thin Films Passive Samplers For Pfas Quantitation In Aqueous Systems, Brianna Harris

Graduate Theses and Dissertations

Diffusive gradients in thin-films (DGT) passive samplers are an alternative to grab sampling for quantifying time-weighted average (TWA) concentrations of per- and polyfluoroalkyl substances (PFAS) in aqueous systems. DGTs may enable long-term PFAS site characterization in a more time and cost-effective manner compared to grab sampling, but critical information is lacking in PFAS diffusion coefficient (DGel) uncertainty, PFAS quantitation limits, and environmental impacts on DGT performance. This work provides a thorough evaluation of DGT performance for a suite of 32 PFAS through (i) determining gel-layer PFAS diffusion coefficients and their associated error (i.e., 95 % confidence intervals (CIs)), (ii) assessing …


An Evaluation Of Leading Indicators In The Construction Industry And Their Relationship With Incident Rates, Kitti Miller Whalen May 2026

An Evaluation Of Leading Indicators In The Construction Industry And Their Relationship With Incident Rates, Kitti Miller Whalen

All-Inclusive List of Electronic Theses and Dissertations

Improving safety programs has been a focus of organizations for decades. Historically, focus has been directed towards lagging indicators such as recordable incident rates and experience modification rate (EMR). While these remain beneficial, they are only one component of the broader framework. In recent years, companies have started to examine what occurs prior to an incident, which are known as leading indicators. The research into leading indicators is promising, however research into the area is limited. The focus of this study is to identify which leading indicators are most strongly associated with improved incident rates in the construction industry specifically. …


A Study Of Visualized Diagnostics In Early Stage Digital Twin Implementation Of An Industrial Control System, Michael R. Kinzel May 2026

A Study Of Visualized Diagnostics In Early Stage Digital Twin Implementation Of An Industrial Control System, Michael R. Kinzel

All-Inclusive List of Electronic Theses and Dissertations

Industrial Control Systems (ICS) are used for process control in almost all industries. An ICS combines Operational Technologies (OT) with Information Technologies (IT) to allow human supervision of a process through surveillance of process variables and manipulation of controlling elements such as valves to maintain stable process conditions. ICSs have been in-service for several decades and may remain operational past their technological service life. Organizational personnel interact with the ICS through visual displays that both indicate the process variables and also the controlling elements. The Human Machine Interface (HMI) allows visibility of the process and the ability to manipulate controlling …


Experimental Data-Driven System Identification Of Scale-Model Airboat Dynamics For Control And Autonomy Applications, Miguel A. Trejos May 2026

Experimental Data-Driven System Identification Of Scale-Model Airboat Dynamics For Control And Autonomy Applications, Miguel A. Trejos

LSU New Orleans Theses and Dissertations

To achieve autonomous control of a surface watercraft requires an accurate model describing the dynamics of the system. To this end, the modeling of dynamics of an airboat with a combustion engine-based propulsion system is investigated. Specifically, a black-box data-based approach using neural networks. To facilitate this, a custom data collection system was developed to record linear and rotational motion during field tests. Due to the airboats unique ability to traverse different terrains, not just water, the modeling of dynamics on different terrains was investigated.


A Comparative Analysis Of Macro-Scale And Micro-Scale Pcswmm Models For Urban Flood Simulation In The Ormond Drainage System, Binit Gautam May 2026

A Comparative Analysis Of Macro-Scale And Micro-Scale Pcswmm Models For Urban Flood Simulation In The Ormond Drainage System, Binit Gautam

LSU New Orleans Theses and Dissertations

This research utilized an existing SWMM modeling framework of the Ormond area within St. Charles Parish, Louisiana. A micro scale PCSWMM model was updated using GIS Derived values for CN, percent imperviousness, and subcatchment slope and compared to an macro-scale model. Models were compared under several storm events, which included the recent May 14, 2020 storm as well as 2-, 10-, and 100-year design storms. Peak flow, total inflow volume, and hydrograph characteristics were analyzed to assess response of each model.

The results show that the macro-scale model generally produces higher peak flows and total volumes, while the micro-scale model …


Optimization-Based Power Management For Hybrid Towing Vessels: A Comparative Framework Toward Mission-Aware Control, Rachel K. Burchill May 2026

Optimization-Based Power Management For Hybrid Towing Vessels: A Comparative Framework Toward Mission-Aware Control, Rachel K. Burchill

LSU New Orleans Theses and Dissertations

This thesis presents an optimization-based framework for power management in hybrid towing vessels operating under dynamic mission conditions. A physically consistent modeling approach is developed, incorporating battery state-of-charge dynamics (SOC), unified power flow, and operational constraints. The framework evaluates rule-based control using fixed heuristic thresholds, Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and multi-objective Non-Dominated Sorting Genetic Algorithm II (NSGA-II) under a representative harbor-assist mission profile. Results show that optimization-based methods significantly outperform rule-based control. PSO achieves the lowest fuel consumption and near-perfect tracking with minimal battery use, while GA provides balanced performance with moderate battery utilization. NSGA-II reveals a …


An Alternative To Armageddon: O.P. Weyland And The Development Of Tactical Air Power, Paul Wells May 2026

An Alternative To Armageddon: O.P. Weyland And The Development Of Tactical Air Power, Paul Wells

LSU New Orleans Theses and Dissertations

Theorists and advocates of air power argued that aircraft, not ground forces, would become the dominant platform for victory in war. They promoted the concept of strategic bombing, using aircraft to bypass ground forces and directly attack a nation's industrial capacity to wage war, hoping to ensure quick victory and avoid a repeat of the prolonged slaughter in the trenches of WWI. In 1947, led by advocates of strategic bombing, the United States Air Force (USAF) became an independent and equal branch of the U.S. military. The USAF developed the Strategic Air Command (SAC) to meet the requirements of the …


Power System Small-Signal Stability Migration And Metric Trends In A Test System With Increasing Ibr Penetration, Brandon Marshall May 2026

Power System Small-Signal Stability Migration And Metric Trends In A Test System With Increasing Ibr Penetration, Brandon Marshall

LSU New Orleans Theses and Dissertations

With the increasing demand of cleaner energy, inverter-based resources (IBRs) provide a greener alternative to traditional generation methods. IBRs fundamentally work different from traditional generators, though, and power system stability will change as IBRs are integrated into the system. The limitations of IBRs include providing less reactive power support to the system and lacking a spinning rotor for inertia to dampen disturbances. This study examines how small-signal stability is impacted when increasing IBR penetration on a test system. Stability impacts are realized by the migration of eigenvalues and relationships between power system metrics and small-signal stability metrics.


Autonomous Deficiency Detection And Vision-Language Summarization For Underground Infrastructure On Embedded Edge Systems, Johny Lopez May 2026

Autonomous Deficiency Detection And Vision-Language Summarization For Underground Infrastructure On Embedded Edge Systems, Johny Lopez

LSU New Orleans Theses and Dissertations

Aging underground infrastructure poses significant risks to public health and environmental safety, yet structural condition assessment remains bottlenecked by labor-intensive manual CCTV inspections. This thesis proposes a comprehensive algorithmic framework enabling fully autonomous, real-time deficiency detection, geometric assessment, and natural language reporting on resource- constrained edge computing platforms. Three core components address this challenge. First, RAPID-SCAN, a novel semantic segmentation architecture utilizing a Dynamic Feature Pyramid Network and Channel-Spatial Attention, achieves real-time, pixel-precise defect localization with dramatically reduced parameters. Second, an Edge-Optimized Vision-Language Model pipeline employing LoRA and 4-bit QLoRA quantization compresses Phi-3.5 for local deployment, en- abling autonomous technical …


Database State Reconstruction And Audit Log Reconciliation For Data Systems Security, Mahfuzul I. Nissan May 2026

Database State Reconstruction And Audit Log Reconciliation For Data Systems Security, Mahfuzul I. Nissan

LSU New Orleans Theses and Dissertations

Modern organizations rely on diverse database management systems to store critical data across heterogeneous storage architectures. These platforms complicate forensic investigations because database engines vary profoundly in their layouts, encodings, and update policies. Malicious insiders can exploit this architectural opacity to alter data and disable audit logging undetected, leaving investigators with an untrusted view of database activity. Furthermore, building custom forensic solutions for every database version is fundamentally unscalable.

This dissertation advances data-system security through a tamper-aware, cross-layer framework that reconstructs database states and detects unauthorized operations even when audit logs are manipulated. By unifying the analysis of physical storage …


Enhancing Control Charting Schemes And Exploring New Assessment Metrics To Advance Quality Control And Cyber-Attack Detection In Manufacturing, Ahmad Al Majali May 2026

Enhancing Control Charting Schemes And Exploring New Assessment Metrics To Advance Quality Control And Cyber-Attack Detection In Manufacturing, Ahmad Al Majali

Dissertations

The increasing integration of digital technologies and industrial control systems in modern manufacturing has introduced new cybersecurity vulnerabilities within cyber–physical production environments. Malicious actors can exploit these vulnerabilities to induce subtle process deviations that degrade product quality while remaining undetected by conventional statistical monitoring tools. Such attacks can be deliberately engineered to manipulate process behavior through transient shifts that vary in magnitude, duration, and frequency. Despite extensive research on transient shifts caused by assignable causes in Statistical Process Control (SPC), limited attention has been given to intelligently designed cyber–physical attacks that exploit the structural characteristics and limitations of control charting …


Behavior Of A Mildly Skewed Network Tied-Arch Bridge During Construction And Early Service Life, Harsha Amunugama May 2026

Behavior Of A Mildly Skewed Network Tied-Arch Bridge During Construction And Early Service Life, Harsha Amunugama

Dissertations

This dissertation work investigated the structural performance of the 2nd Avenue Bridge in Detroit, Michigan, the first skewed, unbraced network tied-arch bridge in the U.S. The 245-ft long, 96.5-ft wide bridge features an 18-degree skew. The bridge was constructed using accelerated bridge construction (ABC) techniques, including off-site fabrication at a bridge staging area (BSA) and installation via self-propelled modular transporters (SPMTs) and lateral launching, enabling the completion of construction with minimal disruptions to I-94 traffic and improved safety.

Given the unique structural configuration of the bridge, the use of innovative construction techniques, and differences observed in structural responses predicted by …


A Low Power Fpga Compute Array For Machine Learning And Artificial Intelligence Applications, Todd Wilson May 2026

A Low Power Fpga Compute Array For Machine Learning And Artificial Intelligence Applications, Todd Wilson

All Graduate Theses and Dissertations, Fall 2023 to Present

Modern small satellites often lack the ability to analyze their data in real time, relying instead on downlinking raw measurements to Earth before any scientific interpretation can occur. This delay restricts missions that require rapid awareness of environmental or space-weather events. This thesis presents the Low-power Array for Cubesat Edge Computing Architecture, Algorithms, and Applications (LACE-C3A), a hardware platform designed to enable in-orbit data processing within the power and volume limits of CubeSat-class spacecraft. 

LACE-C3A uses a modular cluster of flash-based FPGAs, which offer low power consumption, radiation resilience, and in-flight reconfigurability. The system consists of a Controller board responsible …


Numerical Investigation On Lightning Survivability And Residual Strength Of Scarf-Patched And Z-Pinned Cfrp Composites, Logan Hales May 2026

Numerical Investigation On Lightning Survivability And Residual Strength Of Scarf-Patched And Z-Pinned Cfrp Composites, Logan Hales

All Graduate Theses and Dissertations, Fall 2023 to Present

Carbon fiber reinforced polymer (CFRP) composites are critical in aerospace applications yet remain vulnerable to lightning strikes due to orthotropic electrical conductivity and poor thermal resistance. Over the past decades, lightning-strike damage in pristine CFRP has been extensively investigated. However, the response of damaged and subsequently repaired laminates remains poorly understood, raising concerns about the structural integrity of repaired aircraft. This study aims to develop a sequentially coupled thermo-structural modeling framework to quantify how two common composite repair strategies (scarf patching and z-pinning), along with patch size, pin material, and configuration, influence lightning-induced damage and the residual flexural strength of …


Developing Fragility Curves For Steel Special Moment-Resisting Frames In Utah, Olivia P. Murphy May 2026

Developing Fragility Curves For Steel Special Moment-Resisting Frames In Utah, Olivia P. Murphy

All Graduate Theses and Dissertations, Fall 2023 to Present

Major seismic events along the Wasatch Fault represent a serious threat to Utah's residents and built environment. Engineers currently rely on a statistical approach that calculates earthquake ground shaking based on probabilities of various events occurring over extended time periods. This method informs how strong new buildings must be constructed. However, many structural engineering professionals in Utah worry that this probability-based approach may significantly underestimate the actual ground shaking compared to an alternative method that examines the largest possible earthquake a fault can generate. The substantial differences between the two analytical approaches raise fundamental concerns about whether existing construction standards …


Measurements And Scaling Of Ion Propulsion Impulse During Driven Magnetic Reconnection, Fatima Ebrahimi, Nicholas A. O'Gorman, Kush Maheshwari, Jongsoo Yoo, Alexandre Sainterme, Hantao Ji May 2026

Measurements And Scaling Of Ion Propulsion Impulse During Driven Magnetic Reconnection, Fatima Ebrahimi, Nicholas A. O'Gorman, Kush Maheshwari, Jongsoo Yoo, Alexandre Sainterme, Hantao Ji

Faculty Publications

Impulse scaling during magnetic reconnection, the magnetic energy conversion to kinetic energy, via direct Mach probe measurements in Magnetic Reconnection Experiment is examined. Ion exhaust velocity and impulse scalings with reconnecting magnetic field during the push phase of driven reconnection are presented. The outflows and impulse measurements are compared with global MHD simulations. Both measurements and simulations reveal a favorable scaling, greater than linear, of impulse with reconnecting field. These scaling results establish that magnetic reconnection could be utilized for plasma propulsion.


Developing Transparent Sustainability Data Systems In A Poultry And Pet Food Company: An Internship Case Study, Catherine L. Warren May 2026

Developing Transparent Sustainability Data Systems In A Poultry And Pet Food Company: An Internship Case Study, Catherine L. Warren

Biological and Agricultural Engineering Undergraduate Honors Theses

My honors thesis examined my internship experiences and its implications on sustainability data gathering and reporting in poultry and pet food companies. It highlighted my internship projects, the skills I developed, and the connections to sustainability data transparency and reliability in a corporate environment.

In my thesis, I shared details about my internship. I described what projects I worked on, the places I visited, the hands-on experience I gained, and the different teams I worked with throughout the internship duration. I discussed the analytic and professional skills I developed through conducting a waste audit, developing Tableau dashboards, and helping to …


Design And Performance Overview Of The Inaugural University Of Arkansas Beng Fountain Wars Team, Autumn Jones May 2026

Design And Performance Overview Of The Inaugural University Of Arkansas Beng Fountain Wars Team, Autumn Jones

Biological and Agricultural Engineering Undergraduate Honors Theses

This honors thesis describes the engineering design process for the first ASABE Fountain Wars submission by a student team at the University of Arkansas in over a decade. Fountain Wars has a technical and aesthetic task, and the focus of this thesis is the design of the technical task. In 2025, this task was the “shoot out.” The objective was to get objects from a small pool into two 5-gallon buckets 10-15 feet away. The power for initiating the launch had to be provided by the pump. The objects were required to start at the surface of the water.

The …