Cooling performance analysis and structural parameter optimization of X-type truss array channel based on neural networks and genetic algorithm

Xi, Lei; Xu, Liang; Gao, Jianmin; Zhao, Zhen; Li, Yunlong

doi:10.1016/j.ijheatmasstransfer.2021.122452

Cited by 19 publications

(7 citation statements)

References 34 publications

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“…The bounded central difference scheme with high resolution was adopted to discretize the governing equations. The SST k-ω turbulence model with near-wall model approach were used to calculate the turbulent flow in the channel due to the accurate prediction of SST k-ω in the cooling performance of truss array channels, as the authors have reported in references [28][29]. For the heat conduction in the solid channel, only the conduction equation was calculated.…”

Section: Coupled Heat Transfer Numerical Methodsmentioning

confidence: 99%

“…The cooling channel studied in this work is modeled from an F-class gas turbine blade [29]. The channel length (L), height (H) and wall thickness (δ) are 200 mm, 20 mm, and 1 mm, respectively.…”

Section: Numerical Modelmentioning

confidence: 99%

“…They suggested that the heat transfer capacity of the body centered cubic array is the best. The authors of the present study previously researched the influence laws of truss rod diameter, transverse spacing ratio and streamwise spacing ratio on the cooling effect of the channels filled with X-shaped truss array, and obtained the corresponding optimal parameter combination [28][29].…”

Section: Introductionmentioning

confidence: 99%

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Study on flow and heat transfer characteristics of cooling channel filled with x-shaped truss array

Gao

et al. 2023

THERM SCI

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In order to enhance the cooling performance of turbine blades, novel cooling channels filled with X-shaped truss array were investigated in this study. The flow mechanism and heat transfer characteristic of the cooling channel filled with X-shaped truss array were analyzed numerically. The empirical correlations of friction coefficient and Nusselt number related to the inlet Reynolds number (10,000 to 60,000) and truss rod inclination angle (30? to 45?) were fitted. The results show that the secondary flow vortex in the channel and the Nusselt number on the channel wall both show periodic distributions along the streamwise direction. The row-averaged Nusselt number and friction coefficient of the channel first decrease quickly and then decrease slowly along the streamwise direction. When truss rod inclination angle increases from 30? to 60?, the whole-averaged Nusselt number and the whole friction coefficient of the channel increase by 25.4% to 52.3% and 1.19 to 1.33 times respectively under different Reynolds number. The channel with truss rod inclination angle of 45? has the best comprehensive thermal performance. In all cases, the ratio of heat transfer quantity of the truss rod surface to the total heat transfer quantity of the channel ranges from 22.9% to 42.3%. The increase of Reynolds number improves the heat transfer quantity of the channel wall and the increase of truss rod inclination angle reduces the heat transfer quantity of the channel wall.

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Section: Coupled Heat Transfer Numerical Methodsmentioning

confidence: 99%

Section: Numerical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Study on flow and heat transfer characteristics of cooling channel filled with x-shaped truss array

Gao

et al. 2023

THERM SCI

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“…The Reynolds-averaged Navier Stokes equations were solved based on the fully implicit coupled multigrid. The High Resolution Scheme was selected for the options of Advection Schemes and Turbulence Numerics in the CFX-Pre [1]. The turbulent transport in the channel was simulated by different turbulence models, such as RNG k-ε, standard k-ω, and SST k-ω.…”

Section: Numerical Calculation Methodsmentioning

confidence: 99%

“…The rotor inlet temperature of an advanced gas turbine is as high as 2000 K [1], which is far beyond the heat resistance limit of metal materials such as stainless steel and titanium. Consequently, effective cooling measures must be applied to gas turbine blades.…”

Section: Introductionmentioning

confidence: 99%

Numerical Investigation and Parameter Sensitivity Analysis on Flow and Heat Transfer Performance of Jet Array Impingement Cooling in a Quasi-Leading-Edge Channel

Gao

et al. 2022

Aerospace

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In this study, numerical simulations were carried out to investigate the flow and heat transfer characteristics of jet array impingement cooling in the quasi-leading-edge channel of gas turbine blades. The influence laws of Reynolds number (Re, 10,000 to 50,000), hole diameter-to-impingement spacing ratio (d/H, 0.5 to 0.9), hole spacing-to-impingement spacing ratio (S/H, 2 to 6), and Prandtl number (Pr, 0.690 to 0.968) on flow performance, heat transfer performance, and comprehensive thermal performance were examined, and the corresponding empirical correlations were fitted. The results show that increasing the d/H and reducing the S/H can effectively reduce the pressure loss coefficient in the quasi-leading-edge channel. Increasing the Re, reducing the d/H, and increasing the S/H can effectively enhance the heat transfer effect of the target wall. When d/H = 0.6 at lower Reynolds numbers and S/H = 5 at higher Reynolds numbers, the comprehensive thermodynamic coefficient reaches its maximum values. The average Nusselt numbers and comprehensive thermal coefficients of the quasi-leading-edge channel for steam cooling are both higher than those for air cooling. The pressure loss coefficient of the quasi-leading-edge channel is most sensitive to the change in d/H but is not sensitive to the change in Re. The average Nusselt number of the quasi-leading-edge channel is most sensitive to the change in Re and is least sensitive to the change in Pr. The comprehensive thermal coefficient of the quasi-leading-edge channel is most sensitive to the change in Re. The findings may provide a reference for the design of a steam-cooling structure in the leading edge channel of high-temperature turbine blades.

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Architected materials informatics: Construction and application to cellular-structured heat sink optimization

Suzuki,

Nakatani,

Nakagawa

et al. 2025

Acta Materialia

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Cooling performance analysis and structural parameter optimization of X-type truss array channel based on neural networks and genetic algorithm

Cited by 19 publications

References 34 publications

Study on flow and heat transfer characteristics of cooling channel filled with x-shaped truss array

Study on flow and heat transfer characteristics of cooling channel filled with x-shaped truss array

Numerical Investigation and Parameter Sensitivity Analysis on Flow and Heat Transfer Performance of Jet Array Impingement Cooling in a Quasi-Leading-Edge Channel

Architected materials informatics: Construction and application to cellular-structured heat sink optimization

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