Cooperative Optimization of Pre-swirl Nozzles and Receiver Holes in a Radial Pre-swirl System Using an ANN-PSO Approach

Document Type : Regular Article

Authors

1 Faculty of Aircraft, Rocket Engines and Power Plants, Moscow Aviation Institute, Moscow 125080, Russia

2 Faculty of Aerospace, Moscow Aviation Institute, Moscow 125080, Russia

3 Faculty of Aircraft Engineering, Moscow Aviation Institute, Moscow 125080, Russia

Abstract

Radial pre-swirl systems are widely applied in the aviation industry to supply cooling air to high-pressure turbine blades in aircraft engines. The efficiency of the film cooling can significantly decline when the air pressure is insufficient. This study explored the synergistic optimization of pre-swirl nozzles and receiver holes to improve the pressure ratio of a radial pre-swirl system. To attain this objective, we established a surrogate model using an artificial neural network and adopted the particle swarm optimization algorithm to pinpoint the optimized geometric parameters within the defined design scope. The results revealed that the optimal performance was achieved when the pre-swirl-nozzle tangential angle reached 40.4368°, the receiver-hole axial angle reached 2.0286°, and the tangential angle reached 30°. Additionally, multiple computational simulations were performed under diverse operational conditions to validate the efficacy of this optimization. The results revealed a significant enhancement in the pressure-boosting efficiency of the radial pre-swirl system, with negligible impact on temperature increment. The optimized model exhibited a 16.93% higher pressure ratio and 1.6% higher temperature ratio than the baseline model. This improvement can be attributed to enhancements in the flow field and reductions in local losses.

Keywords

Main Subjects

References

Cao, N., Luo, X., & Tang, H. (2022). A Bayesian model to solve a two-dimensional inverse heat transfer problem of gas turbine discs. Applied Thermal Engineering, 214, 118762. https://doi.org/10.1016/j.applthermaleng.2022.118762
Da Soghe, R., Bianchini, C., & D'Errico, J. (2018). Numerical characterization of flow and heat transfer in preswirl systems. Journal of Engineering for Gas Turbines and Power, 140(7), 071901. https://doi.org/10.1115/1.4038618
Farthing, P. R., & Owen, J. M. (1988). The effect of disk geometry on heat transfer in a rotating cavity with a radial outflow of fluid. Journal of Engineering for Gas Turbines and Power, 110(1), 70-77. https://doi.org/10.1115/1.3240089
Fernández Martínez, J. L., & García Gonzalo, E. (2008). The generalized PSO: A new door to PSO evolution. Journal of Artificial Evolution and Applications, 2008. https://doi.org/10.1155/2008/861275
Firouzian, M., Owen, J. M., Pincombe, J. R., & Rogers, R. H. (1986). Flow and heat transfer in a rotating cylindrical cavity with a radial inflow of fluid: Part 2: Velocity, pressure and heat transfer measurements. International journal of Heat and Fluid Flow, 7(1), 21-27. https://doi.org/10.1016/0142-727x(86)90037-8
Ghasemi, M. H., Hoseinzadeh, S., & Memon, S. (2022). A dual-phase-lag (DPL) transient non-Fourier heat transfer analysis of functional graded cylindrical material under axial heat flux. International Communications in Heat and Mass Transfer, 131, 105858. https://doi.org/10.1016/j.icheatmasstransfer.2021.105858
Gong, W., Liu, G., Wang, J., Wang, F., Lin, A., & Wang, Z. (2022). Aerodynamic and thermodynamic analysis of an aero-engine pre-swirl system based on structure design and performance improvement. Aerospace Science and Technology, 123, 107466. https://doi.org/10.1016/j.ast.2022.107466
Han, Z., & Reitz, R. D. (1995). Turbulence modeling of internal combustion engines using RNG κ-ε models. Combustion Science and Technology, 106(4-6), 267-295. https://doi.org/10.1080/00102209508907782
Hoseinzadeh, S., & Heyns, P. S. (2020). Thermo-structural fatigue and lifetime analysis of a heat exchanger as a feedwater heater in power plant. Engineering Failure Analysis, 113, 104548. https://doi.org/10.1016/j.engfailanal.2020.104548
Hu, B., Yao, Y., Wang, M., Wang, C., & Liu, Y. (2023). Flow and performance of the disk cavity of a marine gas turbine at varying nozzle pressure and low rotation speeds: a numerical investigation. Machines, 11(1), 68. https://doi.org10.3390/machines11010068
Jain, A. K., Mao, J., & Mohiuddin, K. M. (1996). Artificial neural networks: A tutorial. Computer, 29(3), 31-44. https://doi.org/10.1109/2.485891
Kim, J., Kang, Y. S., Kim, D., Lee, J., Cha, B. J., & Cho, J. (2016). Optimization of a high pressure turbine blade tip cavity with conjugate heat transfer analysis. Journal of Mechanical Science and Technology, 30, 5529-5538. https://doi.org/10.1007/s12206-016-1121-6
Kong, X., Huang, T., Liu, Y., Chen, H., & Lu, H. (2022). Effects of pre-swirl radius on cooling performance of a rotor-stator pre-swirl system in gas turbine engines. Case Studies in Thermal Engineering, 37, 102250. https://doi.org/10.1016/j.csite.2022.102250
Lee, H., Lee, J., Kim, S., Cho, J., & Kim, D. (2018, June). Pre-swirl system design including inlet duct shape by using CFD analysis. Turbo Expo: Power for Land, Sea, and Air (Vol. 51098, p. V05BT15A029). American Society of Mechanical Engineers. https://doi.org/10.1115/GT2018-76323
Lee, J., Lee, H., Kim, D., & Cho, J. (2020). The effect of rotating receiver hole shape on a gas turbine pre-swirl system. Journal of Mechanical Science and Technology, 34, 2179-2187. https://doi.org/10.1007/s12206-020-0439-2
Lee, J., Lee, H., Park, H., Cho, G., Kim, D., & Cho, J. (2021). Design optimization of a vane type pre-swirl nozzle. Engineering Applications of Computational Fluid Mechanics, 15(1), 164-179. https://doi.org/10.1080/19942060.2020.1847199
Liao, G., Wang, X., & Li, J. (2014). Numerical investigation of the pre-swirl rotor–stator system of the first stage in gas turbine. Applied Thermal Engineering, 73(1), 940-952. https://doi.org/10.1016/j.applthermaleng.2014.08.054
Liu, G., Gong, W., Wu, H., & Lin, A. (2021). Experimental and CFD analysis on the pressure ratio and entropy increment in a cover-plate pre-swirl system of gas turbine engine. Engineering Applications of Computational Fluid Mechanics, 15(1), 476-489. https://doi.org/10.1080/19942060.2021.1884600
Luo, X., Han, G., Wu, H., Wang, L., & Xu, G. (2014). Experimental investigation of pressure loss and heat transfer in a rotor–stator cavity with two outlets. International Journal of Heat and Mass Transfer, 78, 311-320. https://doi.org/10.1016/j.ijheatmasstransfer.2014.06.057
Ma, A., Wu, Q., Zhou, T., & Hu, R. (2022). Effect of inlet flow ratio on heat transfer characteristics of a novel twin-web turbine disk with receiving holes. Case Studies in Thermal Engineering, 34, 101990. https://doi.org/10.1016/j.csite.2022.101990
Musthafa, M., & Ghosh, I. (2022). Spirally wound tubular heat exchanger optimisation using Genetic Algorithm. Applied Thermal Engineering, 215, 118956. https://doi.org/10.1016/j.applthermaleng.2022.118956
Owen, J. M., & Pincombe, J. R. (1980). Velocity measurements inside a rotating cylindrical cavity with a radial outflow of fluid. Journal of Fluid Mechanics, 99(1), 111-127. https://doi.org/10.1017/S0022112080000547
Owen, J. M., Pincombe, J. R., & Rogers, R. H. (1985). Source–sink flow inside a rotating cylindrical cavity. Journal of Fluid Mechanics, 155, 233-265. https://doi.org/10.1017/S0022112085001793
Shen, W., & Wang, S. (2022). Large eddy simulation of turbulent flow and heat transfer in a turbine disc cavity with impellers. International Communications in Heat and Mass Transfer, 139, 106463. https://doi.org/10.1016/j.icheatmasstransfer.2022.106463
Sun, W. J., Wang, Y. J., Zhang, J. Z., & Gao, Q. H. (2023). Genetic optimization of longitudinal ribs on comprehensive heat transfer performance in hollow rotor within axial through flow. International Communications in Heat and Mass Transfer, 144, 106782. https://doi.org/10.1016/j.icheatmasstransfer.2023.106782
Taguchi, G. (1986). Introduction to quality engineering: designing quality into products and processes. Asian Productivity Organization. https://doi.org/10.1002/QRE.4680040216
Tang, H., Deveney, T., Shardlow, T., & Lock, G. D. (2022). Use of Bayesian statistics to calculate transient heat fluxes on compressor disks. Physics of Fluids, 34(5). https://doi.org/10.1063/5.0091371
Unnikrishnan, U., & Yang, V. (2022). A review of cooling technologies for high temperature rotating components in gas turbine. Propulsion and Power Research, 11(3), 293-310. https://doi.org/10.1016/j.jppr.2022.07.001
Wilamowski, B. M., & Irwin, J. D. (Eds.). (2018). Intelligent systems. CRC press. https://doi.org/10.1201/9781315218427
Xia, Z. L., Wang, S. F., & Zhang, J. C. (2020). A novel design of cooling air supply system with dual row pre-swirl nozzles. Journal of Applied Fluid Mechanics, 13(4), 1299-1309. https://doi.org/10.36884/jafm.13.04.30957
Xu, G., Zhuang, L., Dong, B., Liu, Q., & Wen, J. (2020). Optimization design with an advanced genetic algorithm for a compact air-air heat exchanger applied in aero engine. International Journal of Heat and Mass Transfer, 158, 119952. https://doi.org/10.1016/j.ijheatmasstransfer.2020.119952
Zhang, F., Wang, X., & Li, J. (2016a). Numerical investigation on the flow and heat transfer characteristics in radial pre-swirl system with different fillet radius at the junction of inlet cavity and nozzle. Applied Thermal Engineering, 106, 1165-1175. https://doi.org/10.1016/j.applthermaleng.2016.06.117
Zhang, F., Wang, X., & Li, J. (2016b). Numerical investigation of flow and heat transfer characteristics in radial pre-swirl system with different pre-swirl nozzle angles. International Journal of Heat and Mass Transfer, 95, 984-995. https://doi.org/10.1016/j.ijheatmasstransfer.2016.01.010
Zhang, G., & Ding, S. (2012). Safety analysis of flow parameters in a rotor-stator cavity. Chinese Journal of Aeronautics, 25(6), 831-838. https://doi.org/10.1016/S1000-9361(11)60452-4
Zhang, K., Wang, S., Hou, X., & Wei, G. (2020). Influence of slit type receiver holes on radial pre-swirl system. Journal of Aerospace Power, 35, 983-991. (In Chinese) https://doi.org/10.13224/j.cnki.jasp.2020.05.010

Files

Cited by

History

  • Received: 18 November 2023
  • Revised: 03 January 2024
  • Accepted: 19 January 2024
  • Available online: 27 March 2024

Share

How to cite

Statistics