Investigation of flow and thermal behavior in multi-stage high-pressure compressor disk cavities
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Xiangyu Li
,
Qingkun Meng
,
Yi Zhou
und
Zongwei Zhang
Abstract
This numerical study examines the flow and heat transfer in a six-stage high-pressure compressor disk cavity using Reynolds-averaged Navier–Stokes (RANS) and Shear Stress Transport (SST) k-ω models at rotational Reynolds numbers (Re φ ) of 0.85 × 106 – 3.89 × 106. The results show decreasing swirl ratios influenced by cavity geometry and significant pressure losses occurring in cavities 1, 5, and 6, with low-pressure zones at fillets. Downstream disks exhibit stronge heat transfer dominated by vortices, while complex geometries reduce heat transfer due to low flow velocities. Turbulent mixing peaks between Re φ = 2.22 × 106 and 2.78 × 106, maximizing the heat transfer coefficients. At Re φ = 3.89 × 106, centrifugal effects induce flow separation and thus diminish heat transfer efficiency.
Funding source: Fundamental Research Funds for the Central Universities
Award Identifier / Grant number: 3122021045
Acknowledgments
The works were financed by Fundamental Research Funds for the Central Universities with a project number of 3122021045.
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Research ethics: Not applicable.
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Informed consent: Informed consent was obtained from all individuals included in this study, or their legal guardians or wards.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: The author states no conflict of interest.
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Research funding: The works were financed by Fundamental Research Funds for the Central Universities with a project number of 3122021045.
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Data availability: Not applicable.
Nomenclature
- Re φ
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Rotational Reynolds number Re φ =
- R1
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Inner radius of cavity (m)
- R2
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Outer radius of cavity (m)
- v θ , v r , v a
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Axial, radial, and circumferential speeds
- Ω
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Angular speed (rev/min)
- X
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X-axis direction coordinate
- Y
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Y-axis direction coordinate
- Z
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Z-axis direction coordinate
- r*
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Normalized radius =
- in
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Inlet
- out
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Outlet
- h
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Heat transfer coefficient (W/(m2·K))
- a
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Axial width of the disc cavity
- b
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Radial length of the disc cavity
- Ar
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Aspect ratio =
- CFD
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Computational fluid dynamics
- LES
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Large eddy simulation
- RANS
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Reynolds-averaged Navier–Stokes
- WMLES
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Wall-modeled large-eddy simulation
- DNS
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Direct numerical simulation
References
1. Owen, JM, Powell, J. Buoyancy-induced flow in a heated rotating cavity. ASME J. Eng. Gas Turbines Power 2006;128:128–34. https://doi.org/10.1115/1.2032451.Suche in Google Scholar
2. Quan, Y, Han, D, Xu, G, Wen, J, Luo, X. Convective heat transfer of a rotating multi-stage cavity with axial throughflow. Int J Heat Mass Tran 2018;119:117–27. https://doi.org/10.1016/j.ijheatmasstransfer.2017.11.110.Suche in Google Scholar
3. Gao, F, Chew, JW. Flow and heat transfer mechanisms in a rotating compressor cavity under centrifugal buoyancy-driven convection. ASME J. Eng. Gas Turbines Power 2022;144:051010. https://doi.org/10.1115/1.4052649.Suche in Google Scholar
4. Owen, JM, Abrahamsson, H, Lindblad, K. Buoyancy-induced flow in open rotating cavities. ASME J. Eng. Gas Turbines Power 2007;129:318–25. https://doi.org/10.1115/1.2719260.Suche in Google Scholar
5. Owen, JM, Tang, H. Theoretical model of buoyancy-induced flow in rotating cavities. ASME J. Turbomach. 2015;137:111001. https://doi.org/10.1115/1.4031353.Suche in Google Scholar
6. Jackson, RW, Tang, H, Scobie, JA, Pountney, OJ, Sangan, CM, Owen, JM, et al.. Analysis of shroud and disk heat transfer in aero-engine compressor rotors. ASME J. Eng. Gas Turbines Power 2021;143:091005. https://doi.org/10.1115/1.4050631. Suche in Google Scholar
7. Atkins, NR, Kanjirakkad, V. Flow in a rotating cavity with axial throughflow at engine representative conditions. Proc. ASME Turbo Expo 2014, Düsseldorf, Germany; 2014, 5C. https://doi.org/10.1115/gt2014-27174.Suche in Google Scholar
8. Pandey, K, Rathakrishnan, E. Annular cavities for base flow control. Int J Turbo Jet Engines 2006;23:113–28. https://doi.org/10.1515/tjj.2006.23.2.113.Suche in Google Scholar
9. Juangphanich, P, Paniagua, G. Aero-thermal optimization of the rim seal cavity to enhance rotor platform thermal protection. Int J Turbo Jet Engines 2023;40:59–70. https://doi.org/10.1515/tjj-2020-0020.Suche in Google Scholar
10. Farthing, PR, Long, CA, Owen, JM, Pincombe, JR. Rotating cavity with axial throughflow of cooling air: flow structure. ASME J. Turbomach. 1992;114:237–46. https://doi.org/10.1115/1.2927991.Suche in Google Scholar
11. Yan, HN, Liu, CL, Ye, L, Liu, HQ, Su, SW, Zhang, L. Prediction of 2D film cooling effectiveness distribution: a generative neural network with physical prior knowledge. Int Commun Heat Mass Tran 2025;164:108956. https://doi.org/10.1016/j.icheatmasstransfer.2025.108956.Suche in Google Scholar
12. Serre, E, Bontoux, P, Launder, B. Direct numerical simulation of transitional turbulent flow in a closed rotor-stator cavity. Flow Turbul Combust 2002;69:35–50. https://doi.org/10.1023/a:1022467232348.10.1023/A:1022467232348Suche in Google Scholar
13. Sun, Z, Chew, J, Gao, F, Bristot, A, Williams, J. Parametric dependence and elementary modelling for compressor disc cavity heat transfer. Proc Inst Mech Eng Part C 2024;238:2474–88. https://doi.org/10.1177/09544062231190282.Suche in Google Scholar
14. Wang, R, Gao, F, Chew, JW, Marxen, O, Sun, Z. Advanced modeling of flow and heat transfer in rotating disk cavities using open-source computational fluid dynamics. ASME J. Eng. Gas Turbines Power 2024;146:061010. https://doi.org/10.1115/1.4063989.Suche in Google Scholar
15. Wang, R, Chew, JW, Gao, F, & Marxen, O, Flow and heat transfer in a rotating disc cavity with axial throughflow at high-speed conditions, Proc. ASME Turbo Expo 2024, Vol. V008T14A014, https://doi.org/10.1115/gt2024-127455, 2024.Suche in Google Scholar
16. Sun, Z, Lindblad, K, Chew, JW, Young, C. LES and RANS investigations into buoyancy-affected convection in a rotating cavity with a central axial throughflow. ASME J. Eng. Gas Turbines Power2007;129:318–25. https://doi.org/10.1115/1.2364192.Suche in Google Scholar
17. Tan, Q, Ren, J, Jiang, H. Prediction of flow features in rotating cavities with axial throughflow by RANS and LES. Proc. ASME Turbo Expo 2009 2009;3:1173–81. https://doi.org/10.1115/gt2009-59428.Orlando, USASuche in Google Scholar
18. Poncet, S, da Soghe, R, Facchini, B. RANS modeling of flow in rotating cavity system. In: V European conference on computational fluid dynamics (ECCOMAS CFD 2010); 2010. https://hal.science/hal-00679124/document.Suche in Google Scholar
19. Chew, J. Prediction of flow in rotating disc systems using the k-є turbulence model. Int J Turbo Jet Engines 1985;2:253–62.10.1515/TJJ.1985.2.4.253Suche in Google Scholar
20. Dweik, Z, Briley, R, Swafford, T, Hunt, B. Computational study of the unsteady flow structure of the buoyancy-driven rotating cavity with axial throughflow of cooling air. Proc. ASME Turbo Expo 2009 2009;3:1173–81. Orlando, USA.10.1115/GT2009-59969Suche in Google Scholar
21. Fazeli, SM, Kanjirakkad, V, Long, C. Experimental and computational investigation of flow structure in buoyancy-dominated rotating cavities. ASME J. Eng. Gas Turbines Power 2021;143:071026. https://doi.org/10.1115/1.4049482.Suche in Google Scholar
22. Puttock-Brown, MR, Rose, MG, Long, CA. Experimental and computational investigation of rayleigh-bénard flow in the rotating cavities of a core compressor. Proc. ASME Turbo Expo 2017, Charlotte, USA; 2017, 5B. V05BT15A032.10.1115/GT2017-64884Suche in Google Scholar
23. Sasaki, Y, Hisaeda, K, Matsuno, S, Nagao, T, Kouwa, J. Prediction of heat transfer with cavity flow modeling for engine design. Proc. ASME Turbo Expo 2014, Düsseldorf, Germany; 2014, 5C. https://doi.org/10.1115/gt2014-26517.Suche in Google Scholar
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