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Full-Text Articles in Engineering

Mems 4110: Interactive Racecar Dynamics Exhibit, Leonardo Gomes, Hunter Rocker, Joseph Norris, Jack Coode Oct 2025

Mems 4110: Interactive Racecar Dynamics Exhibit, Leonardo Gomes, Hunter Rocker, Joseph Norris, Jack Coode

Mechanical Engineering Design Project Class

Visitors at science museums often struggle to understand how launch speed, lane choice, and banked-curve dynamics influence a car’s trajectory. Existing educational exhibits rarely provide repeatable measurements or clear physics demonstrations. This project addresses that gap by creating an interactive racecar dynamics exhibit with a controlled launcher, 3D-printed banked track geometry, and optical timing gates. The goal is to give users measurable feedback on velocity, lane behavior, and motion through a 31° banked turn while maintaining safety, durability, and fast reset time for continuous hands-on learning.

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Mems 4110: Soft Boiled Egg Peeler, Nina Fischer, Ruth Mellin, Jack Salamon, Malaya Hill Oct 2025

Mems 4110: Soft Boiled Egg Peeler, Nina Fischer, Ruth Mellin, Jack Salamon, Malaya Hill

Mechanical Engineering Design Project Class

This report outlines the design and evaluation of a hard-boiled egg–peeling device developed for the Saint Louis restaurant Neon Greens. The restaurant prepares an average of 150 soft-boiled eggs daily for dishes such as the Protein Salad. They requested a device able to autonomously peel 150 eggs per hour with minimal employee involvement.

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Mems 4110: Precise Water Distribution System, Fadhimah Mohamed, Duyen Nguyen, Citlalli Sanchez-Ayala Oct 2025

Mems 4110: Precise Water Distribution System, Fadhimah Mohamed, Duyen Nguyen, Citlalli Sanchez-Ayala

Mechanical Engineering Design Project Class

Greenhouse research requires precise, repeatable watering to maintain consistent experimental conditions. As plant counts scale to 150–360 pots, manual watering becomes inefficient, inconsistent. This project aims to design an automated irrigation system that reliably delivers controlled water volumes to an initial set of 36 pots, operates under greenhouse conditions with minimal user intervention, and provides a scalable foundation for future expansion.

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Mems 4110: Asme Challenge, Jon Cossman, Jonathan Young, Nate Nowel Oct 2025

Mems 4110: Asme Challenge, Jon Cossman, Jonathan Young, Nate Nowel

Mechanical Engineering Design Project Class

The goal of this project was to design and assemble a remote controlled device for a competition that can maneuver through a course, collect trash units from 3D-printed trash bins, and bring them to a receptacle at the end of the course. Important factors to consider in the design involved ensuring it followed traffic laws through the course, making sure it could operate multiple times, and fit within price and space constraints. Prototypes were tested against the ability to deliver 75 percent of trash units within 5 minutes, 50 percent of trash units within 5 minutes without any traffic violations, …

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Mems 4110: Asme Waste Collection Challenge, Leslie Alfaro, Cathy Zhao, Bari Diamond, Obike Anwisye Oct 2025

Mems 4110: Asme Waste Collection Challenge, Leslie Alfaro, Cathy Zhao, Bari Diamond, Obike Anwisye

Mechanical Engineering Design Project Class

For this project, our goal was to design and build a remote-controlled wastecollection robot that could pick up trash bins and deliver their contents to a dumpsite while staying within the strict rules of the ASME challenge. The robot had to fit inside a 50 cm cube, drive through six-inch lanes, follow traffic rules, and be fully controlled by a six-channel RC controller. These constraints shaped almost every decision we made throughout the design process.

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Mems 4110: Dbf Banner, Pachie Ackerman-Bennett, Joshua Paul Laue, Nazifa Younus Oct 2025

Mems 4110: Dbf Banner, Pachie Ackerman-Bennett, Joshua Paul Laue, Nazifa Younus

Mechanical Engineering Design Project Class

The DBFBanner is a project made for the WashU Design / Build / Fly club. After interviewing DBF club president Sarah Donner, we interpreted the club’s needs as: (1) a banner that could achieve vertical stability in flight; (2) the banner could deploy and release remotely; (3) the banner and associated components were as light as possible. We went through several design iterations, including mathematical and CAD models, mockups, prototypes, and testing apparatus. Many designs were considered, including designs based on linear motion and collapsible trusses. We arrived at a design that used a servo motor to rotate a 3D-printed …

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Mems 4110: Egg Peeler Group L1, Brian Hau, Alex Kenn Lee, Aisha Bah, Shanaelle Nabatmama Oct 2025

Mems 4110: Egg Peeler Group L1, Brian Hau, Alex Kenn Lee, Aisha Bah, Shanaelle Nabatmama

Mechanical Engineering Design Project Class

Neon Greens is a quick-serve salad concept located in St. Louis, MO. Part hydroponic farm and
part restaurant, they focus on growing a majority of their greens in-house, and emphasize
transparency in food systems.
In recent months, they added a ‘Protein Caesar’ salad to the menu. That salad features two
‘jammy’ boiled eggs which are cut in half. Staff at Neon Greens steam eggs precisely in their
Combi oven and shock them to stop the cooking process. They then peel those eggs by hand.
On some days, they must process >100 eggs, which can take up to 1.5 hours of …

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Mems 4110: Improving Restaurant Efficiency: Automatic Egg Peeler, Shanice Isimbi Mutabazi, Kyle Bryant Okui, Max Ari Siefert, Lani Fancesca Espinel Oct 2025

Mems 4110: Improving Restaurant Efficiency: Automatic Egg Peeler, Shanice Isimbi Mutabazi, Kyle Bryant Okui, Max Ari Siefert, Lani Fancesca Espinel

Mechanical Engineering Design Project Class

Neon Greens is a salad restaurant in St. Louis, MO that focuses on serving fresh, locally sourced ingredients. One of their signature menu items includes soft and hard-boiled eggs, which are used in large quantities every day. Currently, these eggs are peeled by hand, which can be slow, inconsistent, and difficult to keep up with during busy hours. Because of this, Neon Greens needs a faster and more reliable way to peel eggs without increasing labor. Our project aims to design a device that can peel eggs automatically, reduce prep time, and stay safe and easy to clean in a …

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Mems 4110: Science Museum Bernoulli's Demo, Emma Sloan, Carter Hahnfeldt, Luke Mccann Oct 2025

Mems 4110: Science Museum Bernoulli's Demo, Emma Sloan, Carter Hahnfeldt, Luke Mccann

Mechanical Engineering Design Project Class

This report outlines the design and prototyping process of the Science Museum Bernoulli’s Demo (SMBD), a capstone project for MEMS 4110 Senior Design Project at Washington University in St. Louis. The SMBD is a fun game for a children’s science museum designed to demonstrate how the exit velocity of water from a pipe changes based on the pipe diameter. The design intends to teach kids about Bernoulli’s principle by allowing them to choose from two different sized pipes to spray water at a target. The key aspect of the game is that the water flows more slowly out of the …

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Mems 4110: Air Hockey Table Physics Education Exhibit, Olaoluwa J. Adeniji, Salomon Dessalines, Gyvnn Mendenhall Oct 2025

Mems 4110: Air Hockey Table Physics Education Exhibit, Olaoluwa J. Adeniji, Salomon Dessalines, Gyvnn Mendenhall

Mechanical Engineering Design Project Class

This project centers on creating an educational air-hockey exhibit designed for use in a science museum. The goal of the device is to transform a familiar game into a hands-on demonstration of basic physics and engineering concepts such as motion, momentum, energy transfer, and impact forces. Through discussions with our customer, Professor Potter, we established that the exhibit must balance two priorities: it must be fun and intuitive for visitors of all ages, and it must provide meaningful real-time feedback that helps users understand the science behind the experience.

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Data Center Developments For Flexible Generation Dispatch, Advanced Infrastructure, And Ultra-Fast Digital Twins, Grant M. Fischer, Rosemary E. Alden, Donovin D. Lewis, Aron Patrick, Dan M. Ionel Oct 2025

Data Center Developments For Flexible Generation Dispatch, Advanced Infrastructure, And Ultra-Fast Digital Twins, Grant M. Fischer, Rosemary E. Alden, Donovin D. Lewis, Aron Patrick, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

The rapid advancement and widespread integration of artificial intelligence (AI) is driving demand for unprecedented deployment of power-intensive computational infrastructure, including multi-megawatt data centers with the potential for facilities with gigawatt-scale capacity in the near future. In this paper, load growth projections for the US are reviewed, and an example energy dispatch solution considering a mixed energy portfolio with flexible, renewable, distributed, and load-based generation is employed. The brief technology review included in the paper covers aspects of electric power, cooling, and computational infrastructures. The concept of a data center digital twin for transient load, grid interaction, and hybrid energy …

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Deep-Learning Based Microstructure Reconstruction And Generation, Cameron J. Maloney, Lucas Taliaferro, Nina St. John Oct 2025

Deep-Learning Based Microstructure Reconstruction And Generation, Cameron J. Maloney, Lucas Taliaferro, Nina St. John

College of Engineering Summer Undergraduate Research Program

Microscopic imaging is essential to characterize multi-scale material behavior and understanding structure-property relationships. Recently our group developed a deep learning approach based on a Generative Adversarial Network (GAN) to reconstruct and artificially generate microstructures of strain-sensing nanomaterial networks based on microscope imagery. In this SURP project we would like to evaluate an alternative approach called diffusion to see if we can improve the quality of our results. Furthermore, we aim to test our approaches on a wider variety of materials, which will have different microstructures, to evaluate how versatile our models are.

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Building Bridges, Bridging The Gap: Measuring Engineering Confidence Across Ses, Amori Waller Oct 2025

Building Bridges, Bridging The Gap: Measuring Engineering Confidence Across Ses, Amori Waller

College of Engineering Summer Undergraduate Research Program

Learning from failure is an essential component of both learning and practicing engineering. However, failure is often stigmatized and avoided in engineering education. This project aims to better understand how to support students throughout their engineering education to help them learn from their failures, rather than become frustrated or discouraged by them. The project will build on prior research in students’ responses to failure experiences to specifically analyze students who respond to failure in different ways and build on these experiences to help students in similar situations. During the SURP project, the student will use qualitative methods to analyze interview …

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Safety-Critical Formation Control Of Non-Holonomic Multi-Robot Systems In Communication-Limited Environments, Logan Beard Oct 2025

Safety-Critical Formation Control Of Non-Holonomic Multi-Robot Systems In Communication-Limited Environments, Logan Beard

College of Engineering Summer Undergraduate Research Program

This project explores advanced methodologies for distributed planning, formation control, and coordination in heterogenous multi-agent robotic systems consisting of small mobile robots and nano unmanned aerial vehicles (UAVs). Leveraging decentralized control theories and optimization techniques, the research aims to develop robust algorithms for real-time collaborative task execution, efficient formation maintenance, and adaptive coordination strategies. Python and ROS will be used extensively to simulate, validate, and experimentally deploy distributed robotics algorithms. The student researcher significantly contributes to the theoretical and practical advancement of multi-agent system technologies.

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Behind The Prompt: The Environmental Impact Of Llm Inference, Lucy Hegenderfer, Isaac Huang Oct 2025

Behind The Prompt: The Environmental Impact Of Llm Inference, Lucy Hegenderfer, Isaac Huang

College of Engineering Summer Undergraduate Research Program

As the size and demand for large language models (LLMs) increase, the environmental impact of computational inference often exceeds training; yet industry lacks a standardized method of calculating this expanding environmental footprint. Complexity arises with task-specific computational demands, infrastructure overhead, and various GPU architectures, making cross-model assessments burdensome. Combining environmental engineering and computer science principles by validating Jegham et al.’s meta-model, we predict the carbon emissions and water consumption during inference, providing metrics to raise user awareness of AI’s growing environmental footprint. Additional work supports integration into a multi-agent conversational system that encourages responsible scheduling and prompting, guiding the user …

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Mixed Reality In Human–Robot Interaction For Collaborative Applications, Evan Reid, Caitlin Osorio Oct 2025

Mixed Reality In Human–Robot Interaction For Collaborative Applications, Evan Reid, Caitlin Osorio

College of Engineering Summer Undergraduate Research Program

This project explores the use of Extended Reality (XR) technologies to enhance human- robot interaction in industrial contexts. Building upon prior research in affective and cognitive state recognition during human-cobot collaboration, this study investigates how natural hand and head gestures, captured through Meta Quest passthrough mode, can be used to communicate human intent to a Universal Robotics e-Series collaborative robot. The XR system provides users with an immersive, real-world visual interface while tracking motion and position in real time. The captured gestures are interpreted through a custom software pipeline that integrates machine learning models and rule-based logic to trigger adaptive …

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Constructing A High-Performance Iot Pipeline For Smart Manufacturing Environments, Seth Langel Oct 2025

Constructing A High-Performance Iot Pipeline For Smart Manufacturing Environments, Seth Langel

College of Engineering Summer Undergraduate Research Program

The Fourth Industrial Revolution, or Industry 4.0, integrates a range of advanced technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Cloud Computing, and Data Analytics to improve the efficiency, productivity, scalability, and security of modern manufacturing systems. Smart manufacturing leverages these technologies across various domains to enhance data-driven decision-making and quality control in production processes. In a smart manufacturing environment, heterogeneous IoT sensors interact with each other and control systems to automate real-time monitoring, analysis, and decision-making. This integration enables manufacturers to optimize production, quickly detect and address anomalies, reduce environmental impact, and adapt rapidly to changing …

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Eggbeater Antenna Design 915 Mhz, Anshul Deshmukh Oct 2025

Eggbeater Antenna Design 915 Mhz, Anshul Deshmukh

College of Engineering Summer Undergraduate Research Program

The Sal-E cube sat mission that is planned for launch in 2026 includes a 902-928 MHz receiving module called the Space Quacker Advanced Development (SQUAD) module. The SQUAD module uses the LoRa modulation format for unlicensed uplink to the satellite using the 902-928 MHz Industrial, Scientific, and Medical (ISM) band. The goal of the SQUAD module is to demonstrate the link robustness of the LoRa communication standard to a low earth orbit (LEO) satellite using this ISM band. To demonstrate this communication link, a 902-928 MHz uplink ground station needs to be established at Cal Poly. The goal of this …

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Ai-Driven Embedded Camera System For Real-Time Traffic Anomaly Detection, Isaac Pruett Oct 2025

Ai-Driven Embedded Camera System For Real-Time Traffic Anomaly Detection, Isaac Pruett

College of Engineering Summer Undergraduate Research Program

In this project, we will collaborate with Caltrans District 5 (covering San Luis Obispo County and surrounding regions) to develop a small, battery-powered, camera-based embedded system utilizing an NVIDIA Jetson board and neural networks to detect highway traffic anomalies. The device will analyze real-time traffic flow patterns and send alerts regarding detected anomalies. Unlike the stationary commercial camera systems currently in use, the proposed system offers increased mobility, affordability, and will give Caltrans engineers improved access over system outputs.

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Analysis And Evaluation Of Backtracking Settings For Energy Yield Optimization At The Cal Poly Solar Farm, Kayla Go-Oco Oct 2025

Analysis And Evaluation Of Backtracking Settings For Energy Yield Optimization At The Cal Poly Solar Farm, Kayla Go-Oco

College of Engineering Summer Undergraduate Research Program

The Cal Poly Solar farm has been built as a single axis tracking facility with two different types of panels. Both conventional single cell solar panels and twin cell solar cells have been used in its construction. Twin Cell panels typically perform better than their conventional counterparts when shaded by other panels in the row in front of them in a fixed tilt system. However neither module performs well when even a small portion is shaded. This project will access the system API to access data for the field and process to determine the energy yield improvements that can be …

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Exploring Impact Of Student’S Proximity To Summer Camp And Demographics On Their Interests In Engineering, Yamil Balcells Oct 2025

Exploring Impact Of Student’S Proximity To Summer Camp And Demographics On Their Interests In Engineering, Yamil Balcells

College of Engineering Summer Undergraduate Research Program

EPIC is a one-week Cal Poly program where middle-and high-school students explore engineering through hands-on projects in a university setting. In partnership with the Migrant Education Program (MEP), EPIC reserves spots for migratory students and provides bilingual counseling and support. These services ensure equitable access and a welcoming environment for students developing English proficiency.

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Ai Agents For Search And Rescue (Ai4sar), Nathan Huang, Lakshana Viswa Oct 2025

Ai Agents For Search And Rescue (Ai4sar), Nathan Huang, Lakshana Viswa

College of Engineering Summer Undergraduate Research Program

The goal of this summer research activity is to expand the capabilities of a system developed in the larger AI in Search and Rescue project. This project supports volunteer organizations participating in the search for missing persons by providing a basic framework for the collection and organization of relevant information, augmented with specific components that utilize a variety of AI methods. The focus of the summer research will be on the development of agent components for selected roles and tasks in a search and rescue mission. The agents utilize generative AI methods such as Large Language Models (LLMs) to provide …

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Stretchable Mechanoluminescent Devices For Energy Harvesting And Real-Time Force Sensing, Lucas Taliaferro, Phoebe Ong Oct 2025

Stretchable Mechanoluminescent Devices For Energy Harvesting And Real-Time Force Sensing, Lucas Taliaferro, Phoebe Ong

College of Engineering Summer Undergraduate Research Program

Our group has been developing a novel manufacturing technique to fabricate flexible sensing devices using electrostatic force. Previously, we focused on utilizing nanomaterials as the sensing materials to measure strains. Building on our experience with the manufacturing technique, we will move forward to incorporate other smart materials in the flexible device to achieve self-powered sensors. Besides, to better understand the fabricated material properties, we are interested in characterizing the microstructural behavior of the material networks via microscopic imaging and finite element simulations. The students will have the opportunity to closely work with Dr. Wang’s interdisciplinary research group.

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Analyzing Wearable Sensor Data From Individuals Undergoing Motor And Neurological Rehabilitation, Nolan William Turk Oct 2025

Analyzing Wearable Sensor Data From Individuals Undergoing Motor And Neurological Rehabilitation, Nolan William Turk

College of Engineering Summer Undergraduate Research Program

An ongoing study funded by the National Science Foundation (NSF) is focused on developing computational models of rehabilitation for people post-stroke. Stroke affects around 800,000 people per year in the US, and often leaves people with limited motor (movement) and neurological (brain-based) capability. Wearable sensors may allow clinicians to better understand how these individuals recover, and to better design therapies and interventions. We are seeking students who can use existing software, and perhaps adapt the software to extract, analyze, and visualize detail from study participants. This project will involve with the Cal Poly PI, and collaborators from physical therapy. This …

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Analyzing Wearable Sensor Data From Individuals Undergoing Motor And Neurological Rehabilitation, Carly Smith Oct 2025

Analyzing Wearable Sensor Data From Individuals Undergoing Motor And Neurological Rehabilitation, Carly Smith

College of Engineering Summer Undergraduate Research Program

An ongoing study funded by the National Science Foundation (NSF) is focused on developing computational models of rehabilitation for people post-stroke. Stroke affects around 800,000 people per year in the US, and often leaves people with limited motor (movement) and neurological (brain-based) capability. Wearable sensors may allow clinicians to better understand how these individuals recover, and to better design therapies and interventions. We are seeking students who can use existing software, and perhaps adapt the software to extract, analyze, and visualize detail from study participants. This project will involve with the Cal Poly PI, and collaborators from physical therapy. This …

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Radiative Heat Transfer Using Spectrometers, Metztli Singha Oct 2025

Radiative Heat Transfer Using Spectrometers, Metztli Singha

College of Engineering Summer Undergraduate Research Program

Radiative heat transfer and the fundamental understanding of the electromagnetic spectrum, ranging from infrared to ultraviolet, are crucial topics for space environments and aerodynamic re-entry systems. The advancement of the aerospace curriculum in these areas will lay the cornerstone for undergraduate students focusing on experiential learning. A specific laboratory experiment involving black body radiation and modes of heat transfer, with a particular emphasis on radiation, will be scoped, designed, and fabricated during the SURP performance period. The outcomes of this work will standardize the introductory courses on heat transfer specific to aeronautics and astronautics concentrations, which is mainly lacking outside …

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Experimental Study Of Flexible Wing Design For Low Subsonic Flow, Blake Shaffer, Timothy Barry Oct 2025

Experimental Study Of Flexible Wing Design For Low Subsonic Flow, Blake Shaffer, Timothy Barry

College of Engineering Summer Undergraduate Research Program

The aim of this project is to study experimentally the structural stability of highly flexible wings under low subsonic flow conditions. The experiments will be carried out at the low-speed wind tunnel in the Aerospace Engineering department. As part of this project, the student will design and build a variety of different flexible wing structures and test their performance in the wind tunnel--the experiments will involve pressure, deflection, and strain measurements. Both additively manufactured and built-up structures will be explored as part of this project. The project will also require the student to perform finite element simulations for the wing …

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How Does User Control Reduce Irritation Of Mid-Roll Ads, Elijah Villanueva Oct 2025

How Does User Control Reduce Irritation Of Mid-Roll Ads, Elijah Villanueva

College of Engineering Summer Undergraduate Research Program

Large video platforms like YouTube and Twitch rely extensively on advertising for revenue. Often, they deploy mid-roll advertising: ads that play in the middle of video content, interrupting it. Such interruptions can irritate consumers significantly. This project primarily involves conducting user testing of an already-developed YouTube browser extension that that gives users some control over when mid-roll ads play. We hope to ascertain how effectively the design mitigates user irritation from mid-roll ads. Tasks will involve recruiting people into a laboratory setting where they will use the browser extension, interviewing them about their experience, and manually extracting themes from the …

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Propeller Characterization Lab, Stefanos Rosenbaum Oct 2025

Propeller Characterization Lab, Stefanos Rosenbaum

College of Engineering Summer Undergraduate Research Program

This research focuses on creating an experiment to measure performance of an aircraft propeller on a specially designed stand. Results from the wind tunnel experiments measuring thrust, rotation speed and torque will enable students to create a database of propeller characteristics for use in aircraft design projects. Students in aerospace engineering are regularly assigned design projects powered by turboprop or propeller driven engines. There is not an easy way to verify design performance other than simplistic calculations or extrapolation of open-source wind tunnel data, and not a lot of data is available. Being able to correlate actual test data from …

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Approximating The Maximum Weighted Independent Set Problem Empirically, Sue Sue Oct 2025

Approximating The Maximum Weighted Independent Set Problem Empirically, Sue Sue

College of Engineering Summer Undergraduate Research Program

In this project we investigate approximation algorithms for the maximum weighted independent set (MWIS) problem in random graphs that approximate real-world graphs, such as social networks. The problem involves finding a large collection of nodes in a network (vertices in a graph) such that no two nodes are directly connected to one another. Applications of the MWIS problem are broad and include clique-finding algorithms as well as the use of large independent sets in distributed algorithms. We build on prior work by the mentor with a SURP 2024 and senior project, in which preliminary findings suggested that a standard greedy …

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