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dc.contributor.advisorRodríguez-Solís, Rafael A.
dc.contributor.authorDe Jesus-Rivera, Javier A.
dc.date.accessioned2018-05-16T15:47:43Z
dc.date.available2018-05-16T15:47:43Z
dc.date.issued2009-05
dc.identifier.urihttps://hdl.handle.net/20.500.11801/544
dc.description.abstractA computational model to simulate and predict environmental conditions inside a typical operating room in Puerto Rico has been developed. The intent of this model is to provide an educated assessment of the possible site formation of microbial activity in regions of space affected by the behavior of two main flow parameters: dry bulb temperature and relative humidity. The commercially available software FLUENT® version 6.3 has been used for the three-dimensional computational model with the application of a RANS turbulence modeling technique. The turbulence model selected for this application was the Renormalization Group κ-ε, which has proven to be a suitable tool for the prediction of flow variables at full-scale and complex geometrical room configurations. The diffusion of numerical error in the computational model was minimized by performing a grid convergence study. From a temperature standpoint, it was predicted that all throughout the occupied zone there is a potential for the growth of microorganisms (T < 24°C), considering that most microorganisms will adapt to temperatures in which humans feel comfortable. On the other hand, regions of high relative humidity (RH > 60%) were predicted to occur at some locations of the occupied zone, especially under the instruments table, under the surgical table, under the anesthesia machine, and under the storage cabinets. For these locations the predicted relative humidity was in the range of 78% to 80%. Some suggestions have been provided to reduce relative humidity levels below 60%.
dc.description.abstractSe creó un modelo computacional para simular y predecir condiciones ambientales en el interior de una sala de cirugía típica en Puerto Rico. La intención de este modelo es de proveer sugerencias respaldadas por el estudio que sean útiles en la identificación de regiones en el espacio que puedan facilitar la formación de actividad microbiológica en base al comportamiento de dos importantes parámetros de flujo: la temperatura de bulbo seco y la humedad relativa. Se ha utilizado un programa comercial llamado FLUENT® versión 6.3 para confeccionar el modelo tridimensional con una aplicación RANS para modelar turbulencia. El modelo de turbulencia seleccionado para esta aplicación ha sido el RNG κ-ε (Renormalization Group) que ha demostrado ser una herramienta apropiada para predecir variables de flujo en espacios a escala real y con geometrías complejas. La difusión de error numérico en el modelo computacional se minimizó a través de un estudio de convergencia de enmallado. Desde la perspectiva termal, se predijo que a través de toda la región ocupada existe el potencial para el crecimiento de microorganismos (T < 24°C), tomando en cuenta el hecho de que la mayoría de los microorganismos se adaptarán a las temperaturas cómodas al ser humano. Por otra parte, regiones de alta humedad relativa (RH > 60%) fueron predichas en varios lugares de la zona ocupada, especialmente bajo la mesa de instrumentos quirúrgicos, bajo la camilla quirúrgica, bajo la máquina de anestesia, y bajo los armarios de suministros quirúrgicos. En estos lugares la predicción de humedad relativa se mantuvo en el rango de 78% a 80%. Se han sugerido alternativas para reducir la humedad relativa por debajo de 60%.
dc.description.sponsorshipPACE Program for providing a full license of the advanced computational fluid dynamics software FLUENT® version 6.3 to this research projecten_US
dc.language.isoenen_US
dc.subjectflow field predictionen_US
dc.subject.lcshHygrometryen_US
dc.subject.lcshAir flowen_US
dc.subject.lcshOperating rooms--Environmental engineering--Puerto Ricoen_US
dc.titleThree dimensional dynamic psychrometric mapping of a typical operating room in Puerto Ricoen_US
dc.typeThesisen_US
dc.rights.licenseAll rights reserveden_US
dc.rights.holder(c) 2009 Javier A. De Jesús Riveraen_US
dc.contributor.committeeRuiz Quiñones, Orlando E.
dc.contributor.committeeSerrano Acevedo, David
dc.contributor.representativeGonzález Quevedo, Antonio
thesis.degree.levelM.S.en_US
thesis.degree.disciplineMechanical Engineeringen_US
dc.contributor.collegeCollege of Engineeringen_US
dc.contributor.departmentDepartment of Mechanical Engineeringen_US
dc.description.graduationYear2009en_US


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