Estudos de escoamentos turbulentos completamente desenvolvidos em canais via simulação numérica direta processada em um simulador comercial
Turbulent flow is an importantresearch fieldin fluid dynamics, once the phenomenonis present in vast majority of engineering processes, such as fluid transport by pipeline, flow measurement, combustion, etc. A fully developed turbulentchannelflow study (at =180-Reynolds number based on the friction...
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| Formato: | tesis de maestría |
| Estado: | Versión publicada |
| Fecha de publicación: | 2017 |
| País: | Brasil |
| Recursos: | Universidade Federal do Espírito Santo (UFES) |
| Repositorio: | Repositório Institucional da Universidade Federal do Espírito Santo (riUfes) |
| Idioma: | portugués |
| OAI Identifier: | oai:repositorio.ufes.br:10/9750 |
| Acesso em linha: | http://repositorio.ufes.br/handle/10/9750 |
| Access Level: | acceso abierto |
| Palavra-chave: | Direct numerical simulation Turbulence Computational fluid dynamics DNS Simulação numérica direta Dinâmica dos fluidos computacional Turbulência Fluidos newtonianos Fluidodinâmica computacional Engenharia Mecânica 621 |
| Resumo: | Turbulent flow is an importantresearch fieldin fluid dynamics, once the phenomenonis present in vast majority of engineering processes, such as fluid transport by pipeline, flow measurement, combustion, etc. A fully developed turbulentchannelflow study (at =180-Reynolds number based on the friction velocity) was performed. This dissertationinvestigates a Newtonianandincompressible fluid in isothermal condition. The analysis was conducted byusing the Direct Numerical Simulation (DNS) technique applied through acommercial softwarebased on the Finite Volume Method. Different types of geometries, meshes, boundary conditions and initialfields of velocity and pressure are present.Turbulence statistics were calculatedwith DNS data, such as mean velocity and turbulent flow intensity. In order to evaluate the applicability of the software to develop this type of simulation, the results were compared with consolidated data from anotherDNS. Moreover, acomparison between DNS and the k-Ꜫturbulence model is briefly presented. Results reproduce characteristics of the phenomena studied, such as randomness of the components of velocity and symmetry of velocity mean and turbulent intensity profiles.The study validates the software's ability to develop DNS, considering the deviations from the references adopted |
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