Undergraduate Research Opportunity Program – UIUC Students Only

WHAT IS UROP?

NASA’s Illinois Space Grant Consortium (ILSGC) is happy to announce its 22nd Undergraduate Research Opportunity Program (UROP) will take place in the summer of 2025. UROP is a program designed to cultivate and support research partnerships between University of Illinois undergraduates and faculty members. All projects focus on NASA-related science and/or engineering research.  We want to invite highly motivated undergraduates to apply to participate in UROP.

We envision this program to involve about 15 University of Illinois undergraduate students who will:

  • Contribute actively to an intensive research project for 10 weeks (40 hours per week) over the 2025 summer;
  • Participate in the weekly seminar series (presentations on research ethics, technical writing, and preparing presentations) organized by the Summer REU committee throughout this summer;
  • Present your research and fully participate in a one-day symposium

We believe this program provides a unique opportunity for students to become involved in NASA-related STEM research activities.

The selected students will participate in research activities for 10 weeks between May 19 and August 1, 2025, under the supervision of a faculty member and their graduate student(s). Your faculty mentor sets the start and end dates, but we expect you to commit to 10 weeks of intensive research. The program is supported by the NASA Illinois Space Grant and faculty contributions. Students will each receive a total maximum award of $7,000 in support.  Students are expected to participate in the program for approximately 40 hours per week.

Funding will be released incumbent upon authorization of funds by NASA. Placements will not be made until NASA has authorized the funding.

HOW DO I FIND RESEARCH PROJECTS SUPPORTED UNDER UROP?

The research project descriptions from 2025 submitted by the faculty are listed below. You must expand the selections under each department to see the project list.

ELIGIBILITY REQUIREMENTS

  • Current student at the University of Illinois at Urbana- Champaign
  • Highly-motivated undergraduate student
  • Provide a statement of interest (review the project descriptions to help with this).
  • Provide current transcript
  • Provide a current resume or CV
  • Complete the online application

WHEN DO I APPLY? WHAT IS THE TIMELINE?

  • December 9, 2024 – UROP Project Descriptions updated
  • December 9, 2024 – Student Application Opens
  • January 31, 2025– Student Application Closes
  • February 7, 2025 – Applicant information/recommendation sent to faculty/mentor
  • February 21, 2025 – Faculty/Mentor selections sent to Heidi
  • February 26, 2025 – Offer letters sent to students (earlier if possible)
  • Students have two weeks from their dated offer letter to accept or decline the offer
  • April 14, 2025 – Student stipends and appointments established
  • May 19 or 26, 2025 – UROP starts (flexible upon Faculty/Mentor approval)
  • July 24 – Present your research at the STEM Symposium and participate all day
  • July 25 or August 1, 2025 – UROP ends (flexible upon Faculty/Mentor approval)

HOW DO I APPLY?

The application opens on December 9, 2024
The application closes on January 31, 2025
  1. Complete and submit the application form
  2. All application materials are submitted through the online site; this includes your interest statement, resume, and transcript/academic history. Transcripts/Academic Histories should be PDF documents. You do not have to submit an official transcript, but the document does need to include your GPA.

Completed application form WITH transcripts/academic histories are due by January 31, 2025.

Sometimes, an interview may be arranged between the student and mentor(s) before the final selection is announced.

Program Requirements:

  • Attend at least 5 of the summer seminar series talks.
  • Complete the pre- and post-program surveys.
  • Complete NASA STEM Gateway Registration
  • Participate and present at the UROP symposium at the end of the summer. Submit a title and create a presentation or poster on your summer research activities.

As part of NASA’s requirements for awards, UROP students must register on NASA STEM Gateway and participate in Illinois Space Grant’s longitudinal tracking program. Student participants will be contacted for information regarding any publications or proposals resulting from the student’s research experience. This tracking also determines the long-term benefits of the NASA Space Grant Program.

If you have any questions, do not hesitate to contact:

Heidi Bjerke
Senior Coordinator, Illinois Space Grant Consortium
217-300-0151
hbjerke2@illinois.edu

2025 Projects

Please review each of the projects. You must expand the department to see the opportunities with each mentor. We recommend taking notes on your favorite projects to write your interest statement for the application.

Aerospace Engineering

Project #1  – Agricultural Drone Design Methodology Development for Senior Capstone Course

Mentor: Dr. Elle Wroblewski

Building from preliminary research by AE 298 RES students in Spring 2025 and further developing the following research tasks:

  • Researching how to design agricultural drones for different purposes related to sustainable agriculture or permaculture practices.
  • Researching how to fabricate drone components from recycled post-consumer waste.
  • Researching the costs and feasibility of constructing these types of drones by senior undergraduate students in a capstone course.
  • Researching the technical information and education required for senior undergraduate students to complete the project.

Student Activities

  • Reading
  • Critical Thinking
  • Fabrication Experience
  • Independence
  • Time Management
  • Understanding of Agriculture
  • Understanding of Sustainability
  • Understanding of Undergraduate Student Education
  • Understanding of Aviation & Drones

Number of positions available: 1


Project #2 – Assessment of spatial visualization training effectiveness for undergraduate students

Mentor – Dr. Brian Woodard

Decades of research involving many thousands of participants has consistently shown that spatial skills are one of the strongest predictors of future success in STEM coursework and STEM careers independent of math and verbal ability. Research also shows that spatial skills are malleable, and individuals may need different methods to practice and improve their skills. For example, a series of studies showed that gender differences in STEM education could be reduced by enhancing spatial skills through computerized training that involves different forms of practice in solving spatial visualization problems.

Based on this background information, The Grainger College of Engineering has been offering an elective spatial visualization training course for first-year students since 2019 (ENG 177 Spatial Visualization). Data have been collected regarding these students’ spatial visualization abilities before and immediately after the course. Additionally, a large dataset is available showing the longitudinal impact of the training course on these students’ success in their subsequent STEM courses. Data organization, analysis, and visualizations are needed to investigate and publicize these outcomes illustrating the impact of this particular course and the importance of spatial visualization skills more generally in STEM.

If certain types of visualization exercises are found to be particularly beneficial, the student may also develop new instructional materials to support the visualization course.

A successful student for this project will have an interest in Engineering Education research. Skills with programming for organizing datasets and creating visualizations are required. Statistical analysis will be needed to examine the data, so some background knowledge in statistics, or willingness to learn some statistical analysis, is required. Experience with CAD (preferably NX), a rendering program like Blender, and 3D printing will also be beneficial if new instructional materials are developed.

Number of positions available: 1


Project #3 – Development of a Hardware-In-The-Loop Test System for the IlliniSat CubeSat Bus

Mentor(s): Dr. Victoria Coverstone and James Helmich (Grad Student)

The IlliniSat CubeSat Bus is a modular system with the objective of reducing the assembly integration and testing (AIT) process for small payloads with a novel “plug and play” approach. The major subsystems are compartmentalized in this architecture to parallelize the critical paths of avionics and payload development. The overall system is broken down into smaller components which make anomaly identification and troubleshooting more manageable. The design is a 6U satellite with 2U (10 x 10 x 20 cm) of space for payload volume and two 2U modules dedicated to power, attitude determination and control, command and data handling, and communications subsystems.

The IlliniSat program has recently completed its Preliminary Design Review (PDR) and is working towards a Critical Design Review (CDR). This project is part of the larger IlliniSat program to realize the novel design and fly a CubeSat utilizing the IlliniSat Bus. This project focuses on the development of a Hardware-In-The-Loop Test System (FlatSat) representation of IlliniSat’s components and subsystems. This development involves utilizing a preassembled FlatSat development board, and writing software to simulate sensor readings, implement control algorithms, develop a command and data handling environment, and perform real-time simulations.

We are looking for enthusiastic undergraduate students with systems, aerospace, electrical, or computer engineering backgrounds interested in both research and hardware development. Research interests should align with the space systems field. Previous design experience working on hardware and electronics intended for use in space environments is a plus but not a requirement. Previous coding experience is necessary, particularly in C and Python. Additionally, availability to continue work into the next academic year is a plus but optional.

Students involved will have the opportunity to work with a group of engineers in the laboratory environment and use simulation and modeling software for structural, orbital dynamics, and concept of operations analysis. Students will learn to operate test equipment necessary to conduct research operations.

Students will be involved in:

  • Developing simulated sensor output generators.
  • Implementation of control algorithms for multiple forms of in-flight control hardware.
  • Developing a command and data handling environment.
  • Conduct real-time simulations of the satellite while in orbit.
  • Time permitting other activities (such as link analysis).

Number of positions available: 1


Project #4 – Formulation of System Definition for a Dual-Mode Propulsion, Monopropellant-based, CubeSat

Mentors: Dr. Victoria Coverstone, Dr. Joshua Rovey, Prof. Matt Hausman, and Michael Harrigan

Multi-mode propulsion enables significant flexibility and adaptability of the spacecraft. Recent efforts have focused on developing compact chemical and electric multi-mode propulsion solutions to address modern missions’ immediate/high thrust and high efficiency/low thrust needs. Typically, two independent systems would be designed for each of these thrust-generating capabilities, but by utilizing a monopropellant, a single propellant tank and feed system can be used for both types of thrust. This capability has been demonstrated in the lab environment but has yet to be implemented on an in-situ satellite.

This project is part of a more extensive program to realize this architecture and fly a CubeSat utilizing a monopropellant and multimode propulsion system. This project focuses on the early system definition phase of the program on the satellite bus side of development. During this phase, the requirement generation process takes place, trade studies are conducted, and systems are identified for use in future analysis and the hardware development stages.

We are looking for enthusiastic undergraduate students with systems, aerospace, electrical, or computer engineering backgrounds interested in both research and hardware development. Research interests should align with the space systems field. Previous design experience working on hardware and electronics intended for use in space environments is a plus but not a requirement. Additionally, availability to continue work into the next academic year is a plus but optional.

Students involved will have the opportunity to work with a group of engineers in the laboratory environment and use simulation and modeling software for structural, orbital dynamics, and concept of operations analysis. Students will learn to operate test equipment necessary to conduct research operations.

Students will be involved in:

  • Reviewing and refining current system requirements.
  • Conduct trade studies on state-of-the-art versus traditional technologies.
  • Develop new tools and methods that can be utilized for system/subsystem/component level evaluation.
  • Review, refine, and track resource budgets within the current system design (e.g., Mass, Volume, Power, Data, Comms).
  • Risk Identification
  • Failure Mode and Effects, Lifetime Cost, Safety Concerns, and Risk Analysis.

Number of positions available: 2


Project #5 – Human-Centered Aerospace Engineering Design in a Supplementary Self-Study Canvas Course

Mentor: Dr. Elle Wroblewski

Building from preliminary research by AE 298 RES students in Spring 2025 and further developing the following research tasks:

  • Researching how to incorporate human-centered design in aerospace engineering vehicle design and experiment design.
  • Researching how to human-centered design can be used to teach engineering.
  • Researching what must be included in an optional, supplemental, no-credit self-study course for students to be successful in engineering.
  • Research how to use human-centered design in engineering craft projects to build technical skills and create experiences for design thinking to be utilized.
  • Researching what is required for a self-study course to allow students to learn at their own pace.
  • Research what type of assessments or discussion forums a self-study course should have to allow for social learning and project feedback.

Student activities:

  • Reading
  • Critical Thinking
  • Teaching Experience
  • Independence
  • Time Management
  • Understanding of Teaching & Learning Practices
  • Understanding of Aerospace Engineering Design
  • Understanding of Undergraduate Student Education
  • Understanding of Psychology and Human Cognition

Number of positions available: 1


Project #6 – Improving Damage Resilience and Detection for Carbon Fiber Composites

Mentors: Dr. Jeff Baur & Ivan Wu

This project focuses on improving the impact resilience of carbon fiber composites and developing thermography-based machine-learning approaches for sensing post-impact damages. Through tuning interlaminar fracture toughness and fiber angles, we hope to improve impact resilience and tolerance of poly-dicyclopentadiene (pDCPD) based composites compared to traditional aerospace grade epoxy. Post-impact samples will be placed under a vacuum chamber for in-situ thermography and compared to true damage from X-ray computed tomography (CT). These results will then be used to calibrate a heat-transfer-based numerical model and to provide training data for neural network algorithms in order to significantly improve the time and accuracy of machine-learning approaches in sensing composite damages.

Student Activities – The student will spend half of the time manufacturing composites and completing low-velocity impact tests on such samples while utilizing the other half of the time generating and analyzing thermography and X-Ray CT data. As such, it is recommended that the student is comfortable with handling chemicals and operating mechanical testing/optical equipment. Moreover, they should be familiar in analyzing datasets with Python as the thermographic images are output as three-dimensional arrays that need to be post-processed with Python scripting. Finally, any previous experience with composite manufacturing is preferred.

Number of positions available: 1


Project #7 – Processing for In-space Manufacturing of Composite Structures

Mentors: Dr. Jeff Baur, Zheyuan Zheng (2nd year PhD), Ivan Wu (3rd year PhD)

This project investigates concepts for space-based manufacturing of high-performance composite structures. The research uses Ring-Opening Metathesis Polymerization (ROMP) of dicyclopentadiene (DCPD) to develop an automated system for fabricating lightweight, high-strength composite tubes with minimal energy consumption. This fabricator incrementally cures and extrudes composite tubes from compact, stowable raw materials. The experiment involves control over the polymer reaction condition, including the precise and time-sensitive application of heat, pressure, and cooling.  Rigorous testing on both the system and manufactured tubes is required to ensure successful operation in a space environment.

The student(s) will spend the first part of their time working on assembly and initial testing of the fabricator and development of the processing procedure. Flight hardware will be assembled in a clean room. For the second portion of their effort, the student will use the fabricator to make composite tubes and characterize their properties. The student(s) working primarily on fabrication assembly should be comfortable handling, assembling, and using mechanical hardware in a controlled environment. Previous experience working in a cleanroom, handling of spacecraft, operating a TVAC chamber/shaking bed or any spacecraft testing experience is preferred. Student(s) working primarily on processing should understand the effect of heat and pressure during polymer curing. Previous experience with polymer or composite processing and a strong materials or chemical background is preferred.

Number of positions available: 2


Project #8 – Processing- Structure Relationships of Additively Manufactured High-Temperature Vascular Composites

Mentors: Dr. Jeff Baur (PI), Atik Rahman (Post-Doc), Asim Shahzad and Han Lee

a.  This project has several aspects in the additive manufacturing of pre-ceramic composites, processing them into a high temperature composite, and characterization of the internal structures that results from that processing. We will match applicant desire and capabilities to the following project sub-elements (1) Vary the pyrolysis heating and cooling profiles to understand the resulting porous networks. If time allows and the process is developed, ultra-high temperature particles are to be involved. This includes mixing and dispersing of the particles, printing and infiltrating with the particles, then varying the same goal of investigating the porous structure as above.

b.  (2) Analyze the porous structure of the additively manufactured composite throughout each Polymer Infiltration and Pyrolysis (PIP) cycle to analyze how the porosity evolves over the cycles, then to correlate its structure to permeability capabilities (Figure 3).

The undergraduate research assistant will learn with the graduate student mentor the process development to achieve an additively manufactured composite (Figure 2). The student shall learn how to operate various equipment to be able to manufacture the composites and to analyze them, including CF3D (Figure 1), ovens, furnaces, infiltration setups, X-ray CT characterization software, and some python programming. From the analysis that the undergraduates provide, we plan to relate them to the permeability capabilities that will dictate the infiltration and thereby the densification, as well as its future application for transpiration cooling.

Number of positions available: 2


Project #9 – Process-Structure-Property Relationships of Continuous Fiber-Additive Manufacturing

Mentor – Dr. Jeff Baur (PI), Thien Le (MS ’26)

The objective of this project is to develop methods to rapidly investigate the processing-structure-property relationships of in-situ impregnated continuous fiber additively manufactured composites with novel reactive polymer resins.

Additive manufacturing with continuous fiber composites is a rapidly developing field that is more automated, provides tailored properties at the tow level, and can create complex geometries compared to traditional composite manufacturing techniques. Continuous Composites Inc.’s CF3D machine is one such system that additively manufactures continuous fiber composites as shown in Fig. 1. However, this system currently has a very limited library of certified materials, thereby limiting the output of unique, multifunctional material systems.

In this project, a multi-functional, hybrid composite system of continuous carbon fibers, nanofillers, and novel polymers like UV-curable and frontally polymerizing resins will be studied. These materials are chosen because 1) continuous carbon fibers impart superior mechanical properties compared to AM materials, 2) nanofillers impart multifunctional (thermal, electrical, sensing, etc.) properties, and 3) novel polymers enable rapid and low energy curing in comparison to traditional thermosets.

We will define and characterize the processing window using our custom built “Test Bed” apparatus shown in Fig 2. This apparatus is developed to mimic many key features of the CF3D system such as fiber compaction, resin impregnation, UV curing, and fiber placement while also having many more expanded features such as a heated substrate, a cooling system, variable tow angle, and custom impregnation algorithms. The Test Bed will serve as a sandbox to safely and inexpensively experiment with new material systems to understand the mechanics of composite additive manufacturing without the risk of damaging expensive systems such as CF3D with experimental materials.

For this study, the thermomechanical properties, microstructure, and curing kinetics will be characterized as a function of resin viscosity, nanofiller composition, and single-tow compaction force.

From a technical standpoint, the undergraduate research assistant will assist the graduate student mentor in planning, conducting, and characterizing the experiment. This will include (1) using CAD and 3D printing to design and manufacture processing fixtures, (2) being very hands-on in the lab and developing creative solutions on the fly, and (3) being able to interpret data, relating it to process-structure-property relationships for AM composite materials to inform the most productive experimental path forward. The research assistant will learn industry-standard composite material analysis methods such as optical microscopy, differential scanning calorimetry (DSC), and dynamic mechanical analysis (DMA). The research assistant will also learn composite manufacturing fundamentals such as material preparation, microstructural properties, and optimal processing conditions.

From a non-technical standpoint, the undergraduate research assistant will be given the opportunity to lead aspects of this project under our mentorship. The research assistant will also learn effective communication and time management skills. They will also be required to present their findings in the form of a presentation and a paper.

Student Prerequisites

An important prerequisite is to be curious and ready to learn! Most of the required skills will be taught in lab, so being able to ask questions and being hungry for knowledge is key!

Some desired qualifications include: 

  • Having taken at least one structures/materials course including but not limited to Engineering Materials, Solid Mechanics, Applied Aerospace Structures, Mechanics of Composites, Polymer Science, etc.
  • Prior experience in composite manufacturing or material analysis
  • Prior experience working in a laboratory setting
  • Prior experience in working within a technical team including student organizations such as rocketry team, FSAE, etc.
  • Prior experience in mechanical or electrical design

Number of positions available: 2

Agricultural and Biological Engineering

Project #10 – Unlocking the Potential of Synthetic Aperture Radar (SAR) Imagery in Agriculture

Mentor: Sunoj Shajahan

Synthetic Aperture Radar (SAR) is a powerful yet underutilized tool in agricultural research. Sentinel-1A is a microwave remote sensing platform that provides high-resolution (10 m) imagery every five days. It offers all-weather, cloud-penetrating data in four bands (VV, HH, VH, HV). SAR measures surface backscatter properties, which can be used to study the impact of soil disturbances caused by various farming operations like tilling, planting, spraying, and harvesting in agriculture.

This project will explore how temporal SAR data can be leveraged to analyze these surface changes, quantify soil properties such as moisture content, and assess erosion potential and topsoil depletion rates. By working on this project, you will gain hands-on experience with SAR data and provide impactful outcomes to agricultural practices. Join us in understanding the hidden potential of SAR in agricultural soil management!

Student Activities

– Analyze geospatial data using Google Earth Engine (GEE) and Python.

Number of positions available: 1

Civil and Environmental Engineering

Project #11 – Adaptive and Fortified Transportation and Infrastructure Systems Management of Air and Ground Logistics for Distributed Energy Supply

Mentors: Dr. Eleftheria Kontou and Hyunhwa Kim

Decision support systems for scalable and adaptive operations of emerging multi-modal transportation technologies are the cornerstone of a contemporary, efficient, and reliable logistics distribution network. Such systems transportation functions will be fulfilled by electric and autonomous aerial, ground, and maritime vehicles. The student will work under the supervision of Dr. Kontou and Hyunhwa Kim on a problem of logistics asset fortification, determining electric vehicle infrastructure ports that should be fortified under bounded investment protection budget against adversary attacks. The student will also assist with developing quantitative metrics to measure efficiency, resilience, and adaptive capacity associated with the operations of multi-modal logistics system, under a plethora of austere environment scenarios.

The students should have a basic familiarity with optimization models (particularly deterministic ones), facility planning, systems engineering, and scientific computing (having fundamental experience coding in Python). The student should also have basic familiarity with data analytics and science techniques, as well as with data visualization.

Number of positions available: 1

Materials Science and Engineering

Project #12 – Bioinspired Polymer Manufacturing

Mentors – Dr. Nancy Sottos  and Anna Cramblitt

Poised at the intersection of materials science and chemistry, this project will focus on a technique for manufacturing patterned polymer materials with Frontal Polymerization (FP). FP is a rapid, scalable, energy-efficient polymer synthesis route. In our group, we focus especially on Frontal Ring-Opening Metathesis Polymerization, which allows us to make polymers with a wide range of properties under ambient conditions, at scale, in a single reaction step lasting less than a minute. Taking inspiration from nature, we can use FP to “grow” materials with built-in surface or material patterns. These patterns arise when we tweak the boundary conditions, initial conditions, or chemistry of the system to create “instabilities” in the polymerization front.

This project aims to deepen our understanding of the patterns formed via instabilities in FP, explore and characterize new formulations for patterning, and enhance our ability to control pattern formation. Techniques such as IR imaging, DSC, video front speed measurements, optical and/or confocal microscopy, NMR, and Raman Spectroscopy can be used to observe and analyze pattern formation and understand the effects on material properties. X-ray scattering and mechanical characterization through nanoindentation or DMA may also be used. Day-to-day activities may include preparing samples for DSC, performing limited organic synthesis, mixing new monomer formulations, preparing patterned samples while recording the polymerization reaction with a visible or IR camera, and analyzing data.

Interested students should have a background in Materials Science & Engineering, Chemistry, Chemical Engineering or similar, with a basic understanding of organic chemistry/polymer chemistry. Familiarity with the concepts behind common polymer characterization methods such as DSC, DMA, NMR, TGA, and/or mechanical property testing is helpful.

Applicants should feel free to reach out to Anna Cramblitt at annacc2@illinois.edu

Number of positions available: 1


Project #13 – Multi-material 3D printing of deconstructable polymers with tunable properties

Mentors: Dr. Nancy Sottos and Pranav Krishnan

My research focuses on developing materials for 3D-printing sustainable and strong engineering polymers for applications in the energy and aerospace industries. Our lab works with a novel energy-efficient manufacturing process called Frontal Polymerization, that allows us to fabricate tough thermoset polymers and composites with a very small energy input.

We aim to use multi-material printing to obtain material property gradients on the scale of millimeters. We have built a custom printhead that incorporates active mixing of multiple monomer materials to tune the composition of our inks for printing on-the-fly. An example of this is to have different mixtures of stiff thermoset and soft elastomer inks, to have regions of varying stiffness 3D printed within the same structure. This summer, we aim to accomplish two goals:

i) to separate all reactive components during the printing process, to eliminate the short print window that results from materials reacting in the background

ii) to incorporate deconstructable comonomers during the printing process that allow the polymer to be chemically recycled. The multimaterial setup will allow us to vary the spatial concentration of these comonomers – to design the printed parts for disassembly.

An undergrad would be involved in the material synthesis, 3D printing, characterization and data analysis, as well as mechanical testing if they are interested. Prior experience with 3D printing is not required – but being able to quickly pick up how to optimize printing by tuning print parameters and conditions would be a strength.

Materials characterization tools such as Differential Scanning Calorimetry (DSC), Shear Rheometry, and Dynamic Mechanical Analysis (DMA) would be in use – students will be trained on these techniques. A background in Materials Science, Mechanical Engineering, Chemistry or related is preferred, or prior research experience with 3D printing techniques.

Students who are looking to apply to graduate school in the future, and are interested in longer term research projects that will continue past the summer will be given preference.

Number of positions available: 1


Project #14 – Tailored Interfaces in Frontally Cured Carbon Fiber Composites

Mentors: Dr.Nancy Sottos and Tyler Price

Frontal curing is a rapid energy-efficient alternative to autoclave/oven curing for manufacturing high-performance fiber-reinforced polymer composites (FRPCs). Frontal curing leverages the exothermic heat of polymerization to propagate a self-sustaining reaction wave through the matrix after initiation with a small triggering stimulus (e.g. heat). Frontally cured carbon-fiber/poly(dicyclopentadiene) (CF/pDCPD) woven composites have been fabricated with mechanical properties (E ~ 55 GPa, Ftu ~ 600 MPa) similar to traditional carbon-fiber/BPA-epoxy composites. However, the non-polar nature of pDCPD contributes to a comparatively weak fiber-matrix interface in CF/pDCPD composites compared to a strong CF/epoxy interface, compromising in-plane shear and compression performance.

We evaluate the interfacial shear strength in CF/pDCPD composites using the single fiber fragmentation (SFF). In SFF, a tensile specimen with a carbon fiber parallel to the loading axis is incrementally loaded to repeatedly fracture the fiber until the number of fragments saturates. The length of fragments at saturation is related to the interfacial shear strength through a shear lag analysis coupled with single filament tensile (SFT) data. Ongoing work seeks to improve the interfacial adhesion in frontally cured carbon/pDCPD composites to match the performance of traditional high-performance carbon/epoxy composites.

As an undergraduate research assistant, you will participate in the design, manufacturing, and micromechanical characterization (SFT/SFF) of CF/pDCPD composites. You will observe how engineering (e.g. pre-tension, pre/post-cure cycles) and chemical (e.g. comonomers, fiber treatment) approaches impact the manufacturability and interfacial strength of CF/pDCPD composites.  In addition, you will characterize properties of the composite that are influenced by interfacial adhesion such as short beam interlaminar shear strength.

We are seeking a student who is interested in learning about composite interfaces, mechanical characterization, and polymer composite manufacturing. A background in polymer science is preferred, but not required. The student should be comfortable handling chemicals and operating mechanical testing equipment and optical microscopes.

Number of positions available: 1


Project #15 – Using Deconstruction Kinetics to Understand Process-Structure Relationships in Thermosets

Mentors: Dr. Jeff Baur and MJ Lee

Thermoset polymers are desirable for their mechanical strength and stiffness, as well as their chemical resistance compared to that of thermoplastics, making them suitable for structural applications such as FRPs and structural adhesives. However, the chemical resistance of thermosets that make them desirable materials are also the very properties that make them difficult to reprocess or recycle, resulting in a non-significant amount of waste.

We have previously shown that we are able to deconstruct thermosets by incorporating cleavable comonomers into the molecular structure while retaining appreciable mechanical properties. However, we have also found that variable processing conditions during thermoset manufacturing result in variable thermoset deconstruction behavior, implying that the molecular structure varies based on processing conditions. For example, using frontal polymerization, an energy efficient method of curing thermoset polymers, results in fully deconstructable thermosets, while a less energy-efficient oven-curing method can result in a non-deconstructable thermoset.

This project aims to understand the relationship between processing conditions, thermoset formulations, and deconstruction kinetics in order to understand the relationship between processing conditions and the resulting thermoset molecular structure. Techniques such as size-exclusion chromatography (SEC), nuclear magnetic resonance (NMR), infrared spectroscopy (IR), and differential scanning calorimetry (DSC) will be used to analyze the thermosets as well as deconstruction products. The student will manufacture and deconstruct thermoset samples, characterize samples using the aforementioned techniques, and analyze data.

Number of positions available: 1