Experimental investigation on analogy principle of conjugate heat transfer for effusion/impingement cooling

Xie, Gang; Liu, Cun-liang; Niu, Jiajia; Lin, Yuzhen; Wang, Rui

doi:10.1016/j.ijheatmasstransfer.2019.118919

Cited by 14 publications

(10 citation statements)

References 20 publications

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“…10 , 11 . Firstly, the overall cooling effectiveness of Xie et al 28 was verified. The results show that the numerical simulation is consistent with the experimental results under different blowing ratios.…”

Section: Numerical Simulation Methodsmentioning

confidence: 94%

“…The results showed that the overall cooling effectiveness obtained by the SST k–ω model was similar to the experimental results. In addition, this study combined the published literature 28 to verify the turbulence models, as shown in Fig. 9 .…”

Section: Numerical Simulation Methodsmentioning

confidence: 99%

“…When x / D is greater than 20, the error is small. Figure 10 b provides a schematic view of test Section 28 . Xie et al 28 filled the insulation material around the flat plate to reduce the effect of heat conduction and to match the boundary conditions of the simulation.…”

Section: Numerical Simulation Methodsmentioning

confidence: 99%

“…Figure 10 b provides a schematic view of test Section 28 . Xie et al 28 filled the insulation material around the flat plate to reduce the effect of heat conduction and to match the boundary conditions of the simulation. Although the insulation material can play a certain role, heat conduction still exists compared with the adiabatic wall in the numerical simulation.…”

Section: Numerical Simulation Methodsmentioning

confidence: 99%

“…In general, the numerical methods with SST k–ω turbulence model in this study have been verified in detail.

Figure 10 Comparison between numerical simulation and experimental results 28 . ( a ) Laterally averaged overall cooling effectiveness; ( b ) Schematic view of test Section 28 .…”

Section: Numerical Simulation Methodsmentioning

confidence: 99%

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Conjugate heat transfer study of various cooling structures and sensitivity analysis of overall cooling effectiveness

Liu

You

et al. 2022

Sci Rep

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The conjugate heat transfer of a turbine blade is influenced by several factors. To analyze the influence of each factor, the published one-dimensional conjugate heat transfer model was improved through theoretical analysis in this study. An overall cooling effectiveness equation containing three dimensionless parameters (adiabatic film cooling effectiveness η, Biot number on the mainstream side Big, and ratio between the heat transfer coefficients of the external and internal walls hg/hi) was obtained. The sensitivity of the overall cooling effectiveness ϕ to these three parameters was obtained through a multi-parameter sensitivity analysis. The results showed that increasing η could improve ϕ the most effectively. The interactions between the dimensionless parameters were analyzed by developing sensitivity charts. The results showed that increasing η from 0.4 to 0.5 could reduce the sensitivity of ϕ to the other two parameters by approximately 15%, whereas increasing Big had little effect on the sensitivity of ϕ to each dimensionless parameter. Increasing hg/hi could improve the sensitivity to η. The above conclusions could also be applied to the plate film hole and plate impingement effusion structures. The effects of different internal cooling structures and film hole structures on the three dimensionless parameters were studied by performing numerical simulations, which verified the accuracy of the one-dimensional conjugate heat transfer model in this study. The results showed that the internal cooling structures had little effect on the distribution of η and Big. The heat transfer coefficient on the coolant side could be effectively improved by installing film holes. The film hole structures mainly affected ϕ by influencing the distribution of η.

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Section: Numerical Simulation Methodsmentioning

confidence: 94%

Section: Numerical Simulation Methodsmentioning

confidence: 99%

Section: Numerical Simulation Methodsmentioning

confidence: 99%

Section: Numerical Simulation Methodsmentioning

confidence: 99%

“…In general, the numerical methods with SST k–ω turbulence model in this study have been verified in detail.

Figure 10 Comparison between numerical simulation and experimental results 28 . ( a ) Laterally averaged overall cooling effectiveness; ( b ) Schematic view of test Section 28 .…”

Section: Numerical Simulation Methodsmentioning

confidence: 99%

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