Correlations to include heat transfer in gas turbine performance calculations

Riegler, Claudius H.

doi:10.1016/s1270-9638(00)86964-3

Cited by 6 publications

(1 citation statement)

References 2 publications

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“…which is in accordance with the approach shown in Reference [16,20]. Furthermore, the heat transfer map shown in Figure 5b is insensitive to variation in geometry.…”

Section: Simulationsupporting

confidence: 90%

Application of Neural Networks and Transfer Learning to Turbomachinery Heat Transfer

2022

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Model-based predictive maintenance using high-frequency in-flight data requires digital twins that can model the dynamics of their physical twin with high precision. The models of the twins need to be fast and dynamically updatable. Machine learning offers the possibility to address these challenges in modeling the transient performance of aero engines. During transient operation, heat transferred between the engine’s structure and the annulus flow plays an important role. Diabatic performance modeling is demonstrated using non-dimensional transient heat transfer maps and transfer learning to extend turbomachinery transient modeling. The general form of such a map for a simple system similar to a pipe is reproduced by a Multilayer Perceptron neural network. It is trained using data from a finite element simulation. In a next step, the network is transferred using measurements to model the thermal transients of an aero engine. Only a limited number of parameters measured during selected transient maneuvers is needed to generate suitable non-dimensional transient heat transfer maps. With these additional steps, the extended performance model matches the engine thermal transients well.

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“…which is in accordance with the approach shown in Reference [16,20]. Furthermore, the heat transfer map shown in Figure 5b is insensitive to variation in geometry.…”

Section: Simulationsupporting

confidence: 90%

Application of Neural Networks and Transfer Learning to Turbomachinery Heat Transfer

2022

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Gas turbine engine transient performance and heat transfer effect modelling: A comprehensive review, research challenges, and exploring the future

Yang,

Nikolaidis,

Jafari

et al. 2024

Applied Thermal Engineering

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Modeling and Validation of the Thermal Effects on Gas Turbine Transients

Nielsen¹,

Moll

Staudacher

2005

Journal of Engineering for Gas Turbines and Power

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Secondary effects, such as heat transfer from fluid to engine structure and the resulting changes in tip and seal clearances affect component performance and stability. A tip clearance model to be used in transient synthesis codes has been developed. The tip clearance model is derived as a state space structure. The model parameters have been identified from thermomechanical finite element models. The model calculates symmetric rotor tip clearance changes in the turbomachinery and symmetric seal clearance changes in the secondary air system for engine transients within the entire flight envelope. The resulting changes in efficiency, capacity, and cooling airflows are fed into the performance program. Corrections for tip clearance changes on the component characteristics are derived from rig tests. The effect of seal clearance changes on the secondary air system is derived using sophisticated air system models. The clearance model is validated against FE thermomechanical models. The modeling method of modifying the component characteristics is verified comparing engine simulation and test data, which show good agreement. Based on a representative transient maneuver typical transient overshoots in fuel flow and turbine gas temperature and changes in component stability margins can be shown. With the use of this model in the performance synthesis the transient engine performance can be predicted more accurate than currently in the engine development program.

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Correlations to include heat transfer in gas turbine performance calculations

Cited by 6 publications

References 2 publications

Application of Neural Networks and Transfer Learning to Turbomachinery Heat Transfer

Application of Neural Networks and Transfer Learning to Turbomachinery Heat Transfer

Gas turbine engine transient performance and heat transfer effect modelling: A comprehensive review, research challenges, and exploring the future

Modeling and Validation of the Thermal Effects on Gas Turbine Transients

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