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ETDs @PUC-Rio
Estatística
Título: EXPERIMENTAL EVALUATION OF GAS DISPERSION IN OSCILLATORY CROSS FLOW OF LIQUID
Autor: PHILLYPE DE LIMA MASSARI
Colaborador(es): IGOR BRAGA DE PAULA - Orientador
MARIA HELENA FARIAS - Coorientador
Catalogação: 26/JUL/2017 Língua(s): PORTUGUESE - BRAZIL
Tipo: TEXT Subtipo: THESIS
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=30692&idi=1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=30692&idi=2
DOI: https://doi.org/10.17771/PUCRio.acad.30692
Resumo:
This work presents an experimental investigation of the flow field induced by the interaction between a bubble plume and an oscillating cross flow. Similar flow conditions can be found in artificial aeration processes used for mitigation of pollution contamination in rivers and submarine outfalls in coastal areas. The mixing zone is highly dependent of the flow field near the plume hence the efficiency of aeration processes. In the present work, controlled surface waves were introduced to generate oscillations in streamwise and wall normal components of the cross flow. The waves were excited with a moving paddle and unsteady flow conditions were selected for the investigation. Air was injected in the bottom wall of the water channel to form the bubble plume. Particle Image Velocimetry (PIV) techniques were employed to measure the velocity flow field. Prior to velocity estimation, images were pre-processed using Matlab routines in order to distinguish tracer particles from air bubbles and to create a dynamic mask for the PIV images. Thus, the velocity vector field was estimated using standard PIV algorithms. In addition, properties of the bubbles, such as size and velocity, were also estimated from the acquired images. Finally, the interaction between the bubble plume with the unsteady cross flow was analyzed.
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