Undergraduate Research Assistant
University of Toledo Mechanical and Industrial Engineering Department
Brief Summary
To improve the accuracy and efficiency of computational fluid dynamics (CFD) simulations, I conducted research focused on turbulence modeling. Using a Linux-based environment, I leveraged open-source meshing tools such as SolidMesh to refine design geometries and optimize mesh quality. This process enabled more precise fluid flow analysis within CFD platforms, facilitating better understanding and prediction of aerodynamic performance.
Business/Organization Outcome
By enhancing meshing techniques and turbulence modeling, my research contributed to improving CFD simulation reliability, reducing computational errors, and streamlining the design iteration process. These advancements are critical in industries such as aerospace and automotive, where accurate fluid dynamics analysis directly impacts fuel efficiency, performance optimization, and overall design validation.
Personal Outcome
This project strengthened my expertise in computational methods, mesh generation, and turbulence modeling. It deepened my proficiency in Linux-based CFD tools and enhanced my ability to solve complex engineering problems using simulation-driven approaches. Additionally, I developed a more refined understanding of how mesh quality affects numerical accuracy, reinforcing my skills in CFD workflow optimization and advanced aerodynamics analysis.