Exergy Analysis of a Turbofan Engine
In this thesis, exergetic methodology is applied to a high bypass turbofan engine at cruise flight phase. Exergy analysis is a powerful tool, which has been used in the design, operation, and performance of energy systems by many engineers and researchers.
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Fracture behavior of Ti-6Al-4V in the extreme thermo-mechanical environment of fan blade-out. [PDF]
Tuninetti V +5 more
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Construction of Data-Driven Performance Digital Twin for a Real-World Gas Turbine Anomaly Detection Considering Uncertainty. [PDF]
Ma Y, Zhu X, Lu J, Yang P, Sun J.
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A deep learning-based prognostic approach for predicting turbofan engine degradation and remaining useful life. [PDF]
Elsherif SM +3 more
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A Comprehensive Review of Artificial Intelligence-Based Algorithms for Predicting the Remaining Useful Life of Equipment. [PDF]
Li W +9 more
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Unique Microphysical Structures of Ultrafine Particles Emitted from Turbofan Jet Engines. [PDF]
Fushimi A +9 more
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Anomaly Detection and Remaining Useful Life Prediction for Turbofan Engines with a Key Point-Based Approach to Secure Health Management. [PDF]
Duan Y, Zhang T, Shi D.
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A Deep-Learning Method for Remaining Useful Life Prediction of Power Machinery via Dual-Attention Mechanism. [PDF]
Wang F, Liu A, Qu C, Xiong R, Chen L.
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El objetivo que este proyecto persigue es el de mostrar el diseño de un turbofan en todo su conjunto. Debido a que este proceso de diseño es muy complejo y normalmente se necesitan grandes grupos de ingenieros para su desarrollo, el alcance del mismo dentro de un proyecto final de carrera queda muy limitado.
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RUL prediction method based on sequential health index evaluation with multidimensional coupled degradation data. [PDF]
Han F, Mo B.
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