UROP Project
Supersonic flow, laser technology, holography, AI-based image processing, 3D printing, microfluidic manufacture
Research Mentor: Huixuan Wu,
Department, College, Affiliation: Mechanical Engineering, FAMU-FSU College of Engineering
Contact Email: hwu8@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Department, College, Affiliation: Mechanical Engineering, FAMU-FSU College of Engineering
Contact Email: hwu8@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Looking for Research Assistants: Yes
Number of Research Assistants: 3
Relevant Majors: Mechanical Engineering
Industrial Engineering
Electric Engineering
Physics
Mathematics
Project Location: FAMU-FSU College of Engineering
Research Assistant Transportation Required: There is a shuttle connecting the COE campus and main campus Remote or In-person: Partially Remote
Approximate Weekly Hours: 10,
Roundtable Times and Zoom Link: Not participating in the Roundtable
Number of Research Assistants: 3
Relevant Majors: Mechanical Engineering
Industrial Engineering
Electric Engineering
Physics
Mathematics
Project Location: FAMU-FSU College of Engineering
Research Assistant Transportation Required: There is a shuttle connecting the COE campus and main campus Remote or In-person: Partially Remote
Approximate Weekly Hours: 10,
Roundtable Times and Zoom Link: Not participating in the Roundtable
Project Description
Wall shear stress is crucial in analyzing complex flows, such as supersonic boundary layers, three-dimensional separation, and shock-boundary layer interactions. However, experimentally measuring the shear stress across large surface areas poses significant challenges. The state of the art methods include discrete physical sensors and oil film. Across a range of 2-D and 3-D flows, various implementations of oil film interferometry (OFI) have been used to calculate shear stresses along bands/drops of oil from the subsonic to supersonic Mach regimes. Existing technologies typically allow mean stress detection only at limited points or within small domains, which is insufficient for capturing large-scale flow structures. This research proposes to overcome these technical challenges by employing holography methods to measure steady and unsteady shear stresses over a large surface.Research Tasks: Literature review,
experiment design,
data collection,
data analysis
Skills that research assistant(s) may need: Required:
Programming, basic knowledge about optics and laser, basic skills to use CAD software
Recommended:
Python programming,
Preferred:
Familiar with AI, understand holography, have experience with 3D printing
Mentoring Philosophy
My mentoring philosophy centers on empowering mentees to achieve their goals by fostering an environment of mutual respect, active learning, and personal growth. I begin by identifying each mentee’s unique aspirations and understanding their current knowledge base. This allows me to tailor my guidance, building on their strengths and addressing areas for improvement. I believe in giving mentees ownership of their work, which not only promotes accountability but also instills a sense of pride and responsibility in their progress.Sharing my own experiences, both successes and failures, helps create a relatable and open atmosphere where mentees feel safe to take risks and learn from mistakes. I strive to create an interactive learning environment where inquiry is encouraged, and challenges are viewed as opportunities for growth. By identifying what motivates each mentee, I can inspire them to push their boundaries while providing the necessary support to navigate obstacles.
Ultimately, my goal is to guide mentees toward becoming independent thinkers who are confident in their abilities, equipped with the tools to continue learning, and prepared to contribute meaningfully to their fields.