CFD Simulation of isothermal upward two-phase flow in a vertical annulus using interfacial area transport equation

Simulação Computacional de fluxo bifásico ascendente isotérmico em um anel vertical usando a equação de transporte de área interfacial

Autores

Palavras-chave:

Bubble column, Two-phase flow, Annular channel, CFD, Interfacial area concentration

Resumo

This work presents a numerical simulation of a vertical, upward, isothermal two-phase flow of air bubbles and water in an annular channel applying a Computational Fluid Dynamics (CFD) code. For this, the Two-Fluid model is applied considering interfacial force correlations, namely: drag, lift, wall lubrication, turbulent dispersion, and virtual mass. The turbulence k-ε model effects and the influence of One-group Interfacial Area Transport Equation (IATE) are taken into account, in this case, the influence of two source term correlations for the bubble breakup and coalescence IATE is analysed. The work assesses whether the code properly represents the physical phenomenon by comparing the simulation results with experimental data obtained from the literature. Six flow conditions are evaluated based on two superficial liquid velocities and three void fractions in the bubbly flow regimen. The annular channel adopted has an outer pipe with an internal diameter of 38.1 mm and an inner cylinder of 19.1 mm. To represent this geometry, a three-dimensional mesh was generated with 160,000 elements, after a mesh sensitivity study. The void fraction distribution, taken radially to the flow section, is the main parameter analysed as well as interfacial area concentration, interfacial gas velocity, and bubble sizes distribution. The CFD model implemented in this work demonstrates satisfactory agreement with the reference experimental data but indicates the need for further improvement in the phase interaction models.

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Biografia do Autor

Flavio Eduardo Ceravolo, Instituto de Pesquisas Energéticas e Nucleares-IPEN/USP

Engenheiro químico pela Universidade Estadual de Maringá. Durante a graduação desenvolveu projeto de iniciação científica na área de tratamento de efluentes industriais utilizando processo de separação por ultrafiltração e complexação. Possui especialização Lato Sensu na área de automação industrial pelo Programa de Educação Continuada da Universidade de São Paulo.  Mestre em Tecnologia Nuclear pelo IPEN/USP com projeto de pesquisa com foco em modelagem multifásica com CFD (Computational Fluid Dynamics) no Instituto de Pesquisas Energéticas e Nucleares (IPEN).

Marcelo da Silva Rocha, Instituto de Pesquisas Energéticas e Nucleares-IPEN/USP

Graduação em Engenharia Civil pela Universidade Federal de Juiz de Fora (1996), mestrado em Engenharia Civil pela Universidade Estadual de Campinas (1998) e doutorado em Engenharia Mecânica pela Universidade de São Paulo (2005). Realizou estágio de pós-doutorado em Engenharia Mecânica na Universidade de São Paulo (2007) e em Engenharia Nuclear no Instituto de Pesquisas Energéticas e Nucleares (2009). Atualmente é Pesquisador Adjunto do Centro de Engenharia Nuclear (CEENG) do Instituto de Pesquisas Energéticas e Nucleares (IPEN-CNEN). Atua como docente nos programas de graduação e pós-graduação IPEN/USP. Atua como pesquisador nas áreas de termohidráulica de reatores nucleares, energias renováveis, interação fluido-estrutura e aplicações de nanotecnologia à energia. Desde 2022 é Gerente do Centro de Engenharia Nuclear (CEENG/IPEN/CNEN).

Roberto Navarro de Mesquita, Instituto de Pesquisas Energéticas e Nucleares-IPEN/USP

Graduação em Física pela Universidade Estadual de Campinas (1987), mestrado em Física pela Universidade Estadual de Campinas (1991) e doutorado em Engenharia Mecânica pela Universidade de São Paulo (2002). Atualmente é tecnologista pleno da Comissão Nacional de Energia Nuclear. Tem experiência na área de Ciência da Computação, com ênfase em Sistemas de Inteligência Artificial, atuando principalmente nos seguintes temas: inteligência artificial, diagnóstico de defeitos em tubos, correntes parasitas (ECT), reconhecimento de padrões em image

Delvonei Alves de Andrade, Instituto de Pesquisas Energéticas e Nucleares-IPEN/USP

Graduação em Engenharia Mecânica pela Universidade Federal de Uberlândia (1983), mestrado em Engenharia Aeronáutica e Mecânica pelo Instituto Tecnológico de Aeronáutica (1987) e doutorado em Tecnologia Nuclear pela Universidade de São Paulo (1999). Atualmente é tecnologista sênior da Comissão Nacional de Energia Nuclear, professor da Universidade de São Paulo. Tem experiência na área de Engenharia Nuclear, com ênfase em Engenharia Nuclear, atuando principalmente nos seguintes temas: Tecnologia de reatores, Dinâmica dos Fluidos Computacional (CFD), Modelagem Numérica, Análise de acidentes, RELAP, Termo-Hidráulica, Circulação Natural, Ultracentrifugação, Fatores Humanos aplicados à Tecnologia Nuclear e Modelo instrumental para implementação de processo gerencial. Recentemente tem se dedicado ao estudo de modelos de turbulência em circuitos de circulação natural. Membro eleito da Comissão de Pós-Graduação do Programa de Tecnologia Nuclear IPEN/USP nos períodos 2009-2011 e 2011-2013. Coordenador do programa PAE de 2011-2021. Vice-presidente do programa de mestrado e doutorado em Tecnologia Nuclear da USP, 2011-2012. Presidente do programa de mestrado e doutorado em Tecnologia Nuclear da USP de 2013-2021. Membro do Conselho de Pós-Graduação (CoPGr) da USP, da Câmara de Normas e Recursos (CaN) 2011-2021. É membro da International Nuclear Security Education Network (INSEN) na Agência Internacional de Energia Atômica (IAEA) em Viena, Áustria e do World International Nuclear Security (WINS) também em Viena, Áustria. 

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Publicado

2023-07-17

Edição

2023: Integrated Knowledge

Seção

Articles