Tesi etd-08282025-204715 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
VARNIER, FRANCESCO
URN
etd-08282025-204715
Titolo
Tesla Valve and Shark Intestines: A Computational Study of Bio-inspired Mechanisms for Asymmetric Fluid Flow
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
BIONICS ENGINEERING
Relatori
relatore Prof. De Simone, Antonio
correlatore Dott. Corsi, Giovanni
correlatore Dott. Corsi, Giovanni
Parole chiave
- bio inspired
- bio-inspired
- BIoinspired
- CFD
- Computational Fluid Dynamics
- Comsol
- diodicity
- Fluidodynamics
- Tesla Valve
Data inizio appello
10/10/2025
Consultabilità
Non consultabile
Data di rilascio
10/10/2028
Riassunto
This thesis investigates hydraulic asymmetry-diodicity-in channels with asymmetric obstacles, inspired by shark intestines and lymphatic valves. Diodicity, defined as the ratio of pressure drops for identical flow rates in opposite directions, measures directional bias in hydraulic resistance. Two-dimensional (2D) channels were analyzed with rigid and deformable obstacles. Rigid obstacles produced limited diodicity due to small recirculation zones and inertial effects, while deformable obstacles, coupled via a fluid–structure interaction (FSI) framework, enhanced diodicity through geometric reconfiguration, with optimal performance depending on inlet velocity and obstacle stiffness.
A simplified annular model confirmed that channel geometry is the main factor governing unidirectional flow. Preliminary three-dimensional simulations with conical and helical geometries confirm the persistence of these mechanisms, highlighting the role of local geometry and deformation, and providing a framework for further investigation of asymmetric flow in complex, bio-inspired systems.
A simplified annular model confirmed that channel geometry is the main factor governing unidirectional flow. Preliminary three-dimensional simulations with conical and helical geometries confirm the persistence of these mechanisms, highlighting the role of local geometry and deformation, and providing a framework for further investigation of asymmetric flow in complex, bio-inspired systems.
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