Multi-physics methodology for phase change due to rapidly depressurised two-phase flows

Zonal modeling is a common technique for the numerical certification of fire-extinguishing systems, however it is not valid to simulate the complex physical phenomena that occurs near the agent injection. We present a multi-scale method for the accurate generation of inflow boundary conditions valid...

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Detalles Bibliográficos
Autores: Chávez Modena, Miguel, Runio, Gonzalo, Valero, Eusebio, Mira Martínez, Daniel, Lehmkuhl Barba, Oriol|||0000-0002-2670-1871
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/351255
Acceso en línea:https://hdl.handle.net/2117/351255
https://dx.doi.org/10.1016/j.ijmultiphaseflow.2021.103788
Access Level:acceso abierto
Palabra clave:Fire extinction
Multi-phase flow
Multi-physics
Phase change
Novec-1230
Fire suppression
Foc -- Control
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Aplicacions informàtiques a la física i l‘enginyeria
Descripción
Sumario:Zonal modeling is a common technique for the numerical certification of fire-extinguishing systems, however it is not valid to simulate the complex physical phenomena that occurs near the agent injection. We present a multi-scale method for the accurate generation of inflow boundary conditions valid for zonal modeling based on the description of the phase change of a rapidly depressurised mist of a fire suppression system. The generation of accurate boundary conditions includes the characterization of the injection of the fire suppression agent from atomization to evaporation and mixing. The multi-scale methodology is based on the use of a high fidelity multiphase conservative level set LES for the characterization of the nozzle to develop an empirical model for primary breakup. Secondly, a low fidelity particle-based method with phase change and unsteady RANS is used for parametric studies. This multi-scale approach requires an affordable computational effort. The multi-scale methodology is tested in a system consisting of a pressurised fire extinguishing agent (Novec-1230) that is injected into the ambient through a nozzle that produces the atomization of the agent. The accuracy of the developed approach is compared with the experimental data.