Modeling and Validation of the Thermal Effects on Gas Turbine Transients

Nielsen, Annette; Moll, Christoph W.; Staudacher, Stephan

doi:10.1115/1.1850495

Cited by 30 publications

(8 citation statements)

References 3 publications

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“…This can be accounted for by expanding the ranges of the parameters in the two-dimensional FEM simulation. Additionally, tip clearance changes may play an important role in larger aero engines [9]. Hence, so-called cold stabilization maneuvers are not suited to support the required transfer learning.…”

Section: Generalization Of the Methodsmentioning

confidence: 99%

“…They affect tip clearances, as well as seal clearances, and result in changes of the component characteristics, the secondary air system, and the power delivered by the engine [7,8]. Today's aero gas turbine engines compensate these detrimental effects by over-fueling, which leads to the well-known temperature overshoots [9], reduced temperature margins, and a reduction in on-wing life.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Generalization Of the Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of Neural Networks and Transfer Learning to Turbomachinery Heat Transfer

2022

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“…In the beginning, the reduced order clearance model has been established, which is based on the deformation of turbine interacting parts. And the tip clearance change has been observed by these simplified models (Kypuros and Melcher, 2003; Melcher and Kypuros, 2003; Nielsen and Moll, 2004; Fei et al , 2013; Teng et al , 2016). Agarwal et al (2008) have developed a reduced order model to predict the tip clearance change.…”

Section: Introductionmentioning

confidence: 91%

Thermomechanical stress analysis for gas turbine blade with cooling structures

Tong

Gou

et al. 2018

MMMS

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Purpose Blade tip clearance has always been a concern for the gas turbine design and control. The numerical analysis of tip clearance is based on the turbine components displacement. The purpose of this paper is to investigate the thermal and mechanical effects on a real cooling blade rather than the simplified model. Design/methodology/approach The coupled fluid-solid method is used. The thermal analysis involves solid and fluid domains. The distributions of blade temperature, stress and displacement have been calculated numerically under real turbine operating conditions. Findings Temperature contour can provide a reference for stress analysis. The results show that temperature gradient is the main source of solid stress and radial displacement. Compared with thermal or mechanical effect, there is a great change of stress magnitude for the thermomechanical effect. Large stress gradients are found between the leading and trailing edge of turbine cooling blade. Also, the blade radial displacement is mainly attributed to the thermal load rather than the centrifugal force. The analysis of the practical three-dimensional model has achieved the more precise results. Originality/value It is significant for clearance design and life prediction.

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“…The total amount of the radial deflection of the turbine blade can be calculated using relations (10) and (11). The final result of deflection has been shown in Fig.…”

Section: Total Turbine Blade Deflectionmentioning

confidence: 99%

An analytical model for prediction of turbine tip clearance and their optimal parametric relationship to its thermal control

Abdollahi,

Abdollahi

2024

Preprint

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Turbine tip clearance has a significant importance on the generated gas turbine power due to its effect on the undesirable blade tip leakage flows. So, the control of this parameter, has attracted the attention of many researches of this field. This paper, has focused on the estimation and prediction of the mentioned distance analytically. This radial distance is estimated by modeling the thermal and mechanical effects on the turbine components that can be used to facilitate research on the development of the tip clearance control systems. Finally, this paper addresses to the thermal control by using jet impingement on the external case wall by manifolds attached to the outside of the turbine and the required mass flow rate is calculated by adjusting the velocity of the jet impingement to achieve the desired tip clearance.

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Modeling and Validation of the Thermal Effects on Gas Turbine Transients

Cited by 30 publications

References 3 publications

Application of Neural Networks and Transfer Learning to Turbomachinery Heat Transfer

Application of Neural Networks and Transfer Learning to Turbomachinery Heat Transfer

Thermomechanical stress analysis for gas turbine blade with cooling structures

An analytical model for prediction of turbine tip clearance and their optimal parametric relationship to its thermal control

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