About this Abstract |
| Meeting |
MS&T25: Materials Science & Technology
|
| Symposium
|
2025 Graduate Student Poster Contest
|
| Presentation Title |
SPG-20: Design, Simulation, and 3D Printing of Tesla Valves for Biomedical Fluidic Applications |
| Author(s) |
Saisri Nakirekanti, Varun Chandra Sarkonda, Janet Jiaxiang Dong, Donglu Shi, Braxton Forde, Je Hyeong Bahk |
| On-Site Speaker (Planned) |
Saisri Nakirekanti |
| Abstract Scope |
Tesla valves provide a passive, no-moving-part mechanism for directional fluid control, with strong potential in biomedical systems. In this study, symmetric and asymmetric geometries at angles of 50//176; –60 //176; were evaluated under pressures of 30–40 cm H₂O and inlet velocities up to 3.1 m/s. Results show that the optimum geometry depends on the performance measure applied. When assessed by flowrate-based diodicity, the 50//176; asymmetric extension achieved the highest directional selectivity, with 0.5% improvement over 60//176;. In contrast, when evaluated by pressure-drop–based diodicity, the 60//176; asymmetric extension performed most favorably, showing 16% higher efficiency than the best 50//176; geometry. Velocity and pressure contours, supported by quantitative data, illustrate these trade-offs. The valve geometries were fabricated in flexible resin using 3D printing to demonstrate manufacturability and potential device integration. Pressure-based optimization aligns with applications such as respiratory support and drug delivery, while flow-based optimization benefits microfluidic diagnostics and wearable biosensors. |