Research Projects

Projects are posted below; new projects will continue to be posted through February. To learn more about the type of research conducted by undergraduates, view the 2017 Research Symposium Abstracts.

This is a list of research projects that may have opportunities for undergraduate students. Please note that it is not a complete list of every SURF project. Undergraduates will discover other projects when talking directly to Purdue faculty.

You can browse all the projects on the list, or view only projects in the following categories:

Innovative Technology/Design

 

A dual-tuned, metamaterial-enhanced radiofrequency coil for MRI and phosphorus-31 spectroscopy

Research categories:  Bioscience/Biomedical, Chemical, Computational/Mathematical, Electronics, Innovative Technology/Design, Life Science, Material Science and Engineering
School/Dept.: Weldon School of Biomedical Engineering, School of Electrical & Computer Engineering
Professor: Joseph Rispoli
Preferred major(s): Electrical Engineering, Biomedical Engineering
Desired experience:   CAD modeling, soldering, circuit characterization

Magnetic resonance imaging (MRI) scanners can be used to acquire real-time localized metabolic information. This technique, known as magnetic resonance spectroscopy, can quantify the concentration of specific metabolites incorporating NMR-active nuclei. In this project, we will build a radiofrequency coil that will detect both typical proton (1H) and phosphorus-31 (31P) spectra using Purdue's 7T MRI scanner. The coil design will include metamaterial periodic structures to boost 31P sensitivity.

For this project, the SURF student will be part of the Magnetic Resonance Biomedical Engineering Lab (MRBEL) and work with Prof. Rispoli and a dedicated graduate student advisor. The SURF student's role will be to contribute to the final coil design (given electromagnetic modeling results from the graduate student advisor), to create a CAD model of the mechanical former, to prototype the former using our lab's 3D printer, to construct the required electrical circuitry on the former, and to validate the device on the 7T scanner. Familiarity with CAD software (Inventor/SolidWorks), soldering, analog circuits, metamaterials, and/or radiofrequency/microwave circuits is desired but not required.

More information: mrbel.org

 

Assessment of Middle School Students Engineering Design Decisions

Research categories:  Educational Research/Social Science, Innovative Technology/Design
School/Dept.: Engineering Education
Professor: Kerrie Douglas
Preferred major(s): Any engineering discipline
Desired experience:   Interest in engineering education research Understanding of the engineering design process Previous experience working in engineering education research projects.

Research shifts in the U.S. K-12 science and mathematics education has emphasized engineering design as a way to develop deeper levels of student engagement with content. In addition, the design process facilitates students critical thinking because of the choices they must make to solve a design challenge. This SURF research project is part of a much larger NSF funded curriculum project to develop integrated STEM lessons for middle school students, where engineering challenges are posed in science and mathematics classrooms. The focus of the SURF project is to qualitatively analyze middle school students responses to assessment questions regarding their use of science content to make engineering design decisions. The specific research question to be addressed is how students vary in complexity in terms of the evidence used to make design decisions. The undergrad research assistant will be expected to contribute to the analysis of the assessments to compare how students differ in their approaches to solving design decisions.

 

Purdue AirSense: An Air Pollution Sensing Network for West Lafayette

Research categories:  Agricultural, Chemical, Civil and Construction, Computer Engineering and Computer Science, Electronics, Environmental Science, Innovative Technology/Design, Mechanical Systems, Nanotechnology, Physical Science
School/Dept.: Civil Engineering
Professor: Brandon Boor
Preferred major(s): The position is open to students from all STEM disciplines.
Desired experience:   Proficient in Python, Java, MATLAB; experience with Raspberry Pi or Arduino.

Air pollution is the largest environmental health risk in the world and responsible for 7 million deaths each year. We are presently developing a new air pollution sensing network for the Purdue campus to monitor and analyze air pollutants in real-time. We are recruiting an undergraduate student to assist with the development of our Raspberry Pi-based air quality sensor module. You will be responsible for integrating the Raspberry Pi with air quality sensors, developing laboratory calibration protocols, building an environmental enclosure for the sensors, creating modules on our website for real-time data analysis and visualization, and maintaining state-of-the-art aerosol instrumentation at our central air quality monitoring site at the Purdue Agronomy Center for Research and Education (ACRE).

 

Surface Enhancement using Severe Plastic Deformation

Research categories:  Aerospace Engineering, Computational/Mathematical, Innovative Technology/Design, Material Science and Engineering, Mechanical Systems, Nanotechnology
School/Dept.: Materials Engineering
Professor: David Bahr
Preferred major(s): MSE, ME, or AAE
Desired experience:   Mechanical behavior courses, mechanical testing laboratory experience.

Modifying the surface of metals using shot peening, burnishing, and other plastic deformation processing is common in industry. However, we have limited ability to predict performance of how shot peened materials change properties due to complex interactions between residual stresses and microstructural changes. This project, tied to an industrial consortium, will focus on developing a combined model that predicts both recrystallization and residual stresses using a combination of experimental measurements and predictive computational models in common engineering alloys. The student will gain experience in preparing samples for metallographic inspection, performing hardness testing and optical microscopy, and using basic finite element simulations.