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System uncertainty due to thermo-fluid modelling Konstantinos G. Kyprianidis K.G. Kyprianidis, V. Sethi, S.O.T. Ogaji, P. Pilidis, R. Singh, and A.I. Kalfas. Thermo-Fluid Modelling for Gas Turbines - Part II: Im- pact on Performance Calculations and Emissions Predictions at Air- craft System Level. In ASME TURBO EXPO 2009 Proceedings, GT- 2009-60101, Cycle Innovations Committee Best Paper Award, Orlando, FL, USA, June 2009. K.G. Kyprianidis, V. Sethi, S.O.T. Ogaji, P. Pilidis, R. Singh, and A.I. Kalfas. Uncertainty in Gas Turbine Thermo-Fluid Modelling and its Impact on Performance Calculations and Emissions Predictions at Aircraft System Level. Proceedings of the IMechE, Part G: Journal of Aerospace Engineering, JAERO765, 2010. submitted for publication. 4.1 Introduction Accurate and reliable fluid modelling is essential for any gas turbine performance simulation software as it provides a robust foundation for building advanced multi-disciplinary modelling capabilities [182]. Caloric properties for generic and semi-generic gas turbine performance simulation codes can be calculated at vari- ous levels of fidelity; selection of the fidelity level is dependent upon the objectives of the simulation and execution time constraints. Rigorous fluid modelling, how- ever, may not necessarily improve performance simulation accuracy unless all modelling assumptions and sources of uncertainty are aligned to the same level. Certain modelling aspects such as the introduction of chemical kinetics, and dis- sociation effects, may reduce computational speed significantly and this could be of significant importance for radical space exploration and novel propulsion cycle assessment. A large number of technical models are currently available in the literature for calculating caloric properties of ideal gases [84,88,183–192]. Bu ̈cker et al. [183] reviewed most of these models and argued that although some of them are ac- cepted standards in various industrial sectors their mutual consistency can be rather poor. Since this could result in significant discrepancies, and even in con- tradictory results, a new technical model was developed in that study to be used as a standard for the prediction of caloric properties of moist air and combustion gases based on consistent sets of data. 80PDF Image | Multi-disciplinary conceptual design of future jet engine systems
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