Abdominal Aortic Aneurysms (AAAs) are characterized by a continuous dilation of the infrarenal segment of the abdominal aorta. Despite significant improvements in surgical procedures and imaging techniques, the mortality and morbidity rates associated with untreated ruptured AAAs are still outrageously high. AAA disease is a health risk of significant importance since this kind of aneurysm is mostly asymptomatic until its rupture, which is frequently a lethal event with an overall mortality rate in the 80% to 90% range. From a purely biomechanical viewpoint, aneurysm rupture is a phenomenon that occurs when the mechanical stress acting on the dilating inner wall exceeds its failure strength. Since the internal mechanical forces are maintained by the dynamic action of blood flowing in the aorta, the quantification of the hemodynamics of AAAs is essential for the characterization of their biomechanical environment.
Fuel flexibility and environmental performance are proving to be critically important to contemporary IGCC plants designed for various applications. Gas turbine combustion systems for IGCC power plants must have the capability to burn a variety of syngas compositions, including high hydrogen content, while maintaining low pollutant emissions and with high reliability. Evaluating an IGCC combustor for a wide range of fuels experimentally can be very expensive as a result of the cost of preparing the large quantities of synthesis gas required. CFD analysis permits many design options to be evaluated in a timely, cost-effective manner. This paper discusses the prediction of emission and combustor liner wall temperature distribution in an IGCC combustor for a wide range of fuels by using CFD.
The prediction capability of laminar finite rate and laminar flamelet approaches have been analyzed on two full scale IGCC combustors for different H2/CO ratios. The CFD analysis on full scale IGCC combustor revealed that LFR approach were able to predict the liner wall temperature distribution and emission in good agreement with the lab compared to the LFM approach.
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