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Modeling and Potentials of Flexible Secondary Air Systems Regarding Mission Fuel Burn Reduction and Blade Creep Life
Citation key 2019_woelki_24isabe
Author Woelki, D. and Peitsch, D.
Pages ISABE-2019-24435
Year 2019
Location Canberra, Australia
Journal ISABE - 24th International Symposium on Air Breathing Engines
Month 09
Note Technische Universität Berlin:
D. Woelki, D. Peitsch
Editor ISABE
Abstract The secondary air system (SAS) fulfils various tasks to ensure safe operation of gas turbine components. The front turbine stages consume the highest share of cooling air provided by the SAS. Since losses are associated with secondary air extraction and its partial return to the main annulus flow, the reduction of secondary air flows is desirable. This especially applies for part load conditions with commonly high abundance of cooling air. Flexible SAS with reduced cooling air at part load tend to a decrease of fuel burn at the cost of increased blade material temperatures and a deductive loss of blade life. This paper presents a workflow coupling a gas turbine performance model with a detailed SAS network model, which is now extended with a commonly employed approach of blade creep life modeling. This workflow allows for the generation of trades between fuel flow and blade life at distinct levels of secondary air modulation in flexible SAS. Initial studies presented here are run on a reduced workflow. The results provide an insight into the sensitivity of blade creep life regarding common turbine blade alloys, hot gas and cooling air parameters as well as the significance of the selected power level. Studies with application of the entire workflow focus on modifications of a major cooling air supply path to the high pressure turbine of an aero engine. As a key result, concepts for flexible SAS allow for a reduction of mission fuel burn in the order of Δw fuel = -0.13 % at maintained blade creep life. It is also proved, that component zooming is required for reliable feasibility studies, since cooling air modulation affects the entire flow distribution within the SAS.
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