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Geometric Optimization of a Tesla Valve Through Machine Learning to Develop Fluid Pressure Drop Devices

Thorough investigation into Tesla valve (TV) design was conducted across a large design of experiments (DOE) consisting of four varying geometric parameters and six different Reynolds number regimes in order to develop an optimized pressure drop device utilizing machine learning (ML) methods. A non-...

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Autori principali: Andrew Sparrow, Jett Isley, Walter Smith, Anthony Gannon
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2025-09-01
Serie:Fluids
Soggetti:
Tesla valve
pressure drop
machine learning
computational fluid dynamics
geometric optimization
Accesso online:https://www.mdpi.com/2311-5521/10/10/255
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