Effect of gas turbine endwall misalignment with slashface leakage on the blade endwall aerothermal performance

Zhang, Kaiyuan; Li, Zhigang; Li, Jun

doi:10.1016/j.ijheatmasstransfer.2018.11.153

Cited by 9 publications

(8 citation statements)

References 18 publications

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“…In order to verify the effectiveness of the method proposed in this paper, certain of twin-spool aviation gas turbine is adopted as the research object. It is widely known that the working condition of the engine is very bad [13,24] (suffering from high pressure, high temperature, high stress, etc.) and the performances of gas turbine components (such as the compressor, rotator, turbine, etc.)…”

Section: Resultsmentioning

confidence: 99%

A Novel Method for Gas Turbine Condition Monitoring Based on KPCA and Analysis of Statistics T2 and SPE

Zeng

Long

2019

Processes

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Gas turbines are widely used all over the world, in order to ensure the normal operation of gas turbines, it is necessary to monitor the condition of gas turbine and analyze the tested parameters to find the state information contained in parameters. There is a problem in gas turbine condition monitoring that how to locate the fault accurately if failure occurs. To solve the problem, this paper proposes a method to locate the fault of gas turbine components by evaluating the sensitivity of tested parameters to fault. Firstly, the tested parameters are decomposed by the kernel principal component analysis. Then construct the statistics of T2 and SPE in the principal elements space and residual space, respectively. Furthermore, the thresholds of the statistics must be calculated. The influence of tested parameters on faults is analyzed, and the degree of influence is quantified. The fault location can be realized according to the analysis results. The research results show that the proposed method can realize fault diagnosis and location accurately.

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Section: Resultsmentioning

confidence: 99%

A Novel Method for Gas Turbine Condition Monitoring Based on KPCA and Analysis of Statistics T2 and SPE

Zeng

Long

2019

Processes

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“…Four turbulence models were selected for validation as shown in Figure 4 similar with our previous study. 31 As can be seen, the shear stress transport (SST) k À o model can achieve the best prediction accuracy downstream of the slashface, which is the most important part for the current research, and it is overpredicted by the RNG k À " and standard k À " turbulence model. Therefore, the SST k À o model was selected for all the computations in this study.…”

Section: Computational Methods Geometric Model and Meshmentioning

confidence: 99%

“…turbulence model. Based on the grid sensitivity analysis same as our previous study 31 as shown in Figure 3(c), mesh of 12.1 million elements of passage and slot was selected for all the computations, and the grid number of slashface with seal was 1 million. Solver and turbulence models…”

Section: Computational Methods Geometric Model and Meshmentioning

confidence: 99%

“…The dominant secondary flow within the passage of the horseshoe vortex and the separation vortex induced by slot coolant injection can be easily identified from the figure. 31 The suction side leg of the horseshoe vortex locates next to the separation vortex and can just be observed near the leading edge. When flowing and developing downstream, the pressure side leg of horseshoe vortex gradually grows into passage vortex, during which time the passage vortex flows along the fore part (z/ C ax < 0.6) of the slashface and dramatically changes the flow condition inside it.…”

Section: Typical Flow Structures Of Slashface Leakage Under the Influence Of Quasi-labyrinth Sealmentioning

confidence: 99%

“…Traditionally, the slashface cannot control the leakage flow direction at all, but can only limit its mass flow rate. In our previous study, 31 it was found that in the traditional slashface most of the coolant leakage is conveyed downstream inside it powered by streamwise pressure gradient, and nearly no coolant can be ejected out from the fore part of the slashface. Hence, the upstream part of the endwall is not well protected.…”

Section: Introductionmentioning

confidence: 98%

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Influence of slashface leakage coupled with quasi-labyrinth seal technique on gas turbine endwall aerothermal performance and blade suction side surface phantom cooling

Zhang

2020

Proceedings of the Institution of Mechanical Engineers, Part A:

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Quasi-labyrinth seal technique was innovatively adopted to control the slashface flow, and the effect of slashface leakage on endwall aerothermal performance and blade suction side surface phantom cooling was numerically investigated. Simulations of five different labyrinth seal lengths ( Ls) and three coolant momentum flux ratios ( I) were conducted by computationally solving the Reynolds-averaged Navier–Stokes equations coupled with the shear stress transport k-ω turbulence model. The results show that the slashface coolant can be accelerated and conveyed downstream inside the slashface carried by the ingested mainstream and passage vortex. By setting up the quasi-labyrinth seal composed of a series of aperture cavities along the slashface, the coolant downstream transportation can be largely weakened, and the labyrinth seal with various lengths all have the potential to move the endwall coolant coverage toward upstream. When I = 0.48, the coolant downstream migration is severest and it has the best coverage on the endwall with seal. The laterally averaged cooling effectiveness is elevated for the fore part endwall but decreased for the back part endwall after sealing, and the highest cooling effectiveness is increased by 5% for 0.6 Ls seal. The 0.6–1.0 Ls seal has the approximate effect and is better than 0.4 Ls seal, and 0.6 Ls seal has the best outcome considering the countering effects of structural strength and endwall cooling performance. For 0.6 Ls sealed case, the high heat transfer level caused by coolant attachment is enhanced by 3.5% when I = 0.48 but decreased by 3.3% and 4.4% when I = 0.96 and 1.42 compared with baseline case. The low heat transfer caused by horseshoe vortex separation is enhanced when I = 1.42 for the sealed case. The quasi-labyrinth seal mainly weakens the back part suction side phantom cooling performance, and the well phantom cooling region moves upstream with the increase of I. The averaged phantom cooling effectiveness is decreased by 0.56%, 0.3%, and 1.44% when I = 0.48, 0.96, and 1.42 for the sealed cases. The results provide the gas turbine designers a better insight into improved slashface leakage control as well as its detailed surface cooling effects.

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Effects of mid-passage gap with a variable surface angle on a turbine vane endwall’s aerothermal and film cooling performances

LI,

ZHANG,

et al. 2024

Chinese Journal of Aeronautics

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Effect of gas turbine endwall misalignment with slashface leakage on the blade endwall aerothermal performance

Cited by 9 publications

References 18 publications

A Novel Method for Gas Turbine Condition Monitoring Based on KPCA and Analysis of Statistics T2 and SPE

A Novel Method for Gas Turbine Condition Monitoring Based on KPCA and Analysis of Statistics T2 and SPE

Influence of slashface leakage coupled with quasi-labyrinth seal technique on gas turbine endwall aerothermal performance and blade suction side surface phantom cooling

Effects of mid-passage gap with a variable surface angle on a turbine vane endwall’s aerothermal and film cooling performances

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