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Prediction of Performance of a Variable-Pitch Axial Fan with Forward-Skewed Blades

Author

Listed:
  • Xuemin Ye

    (Department of Power Engineering, North China Electric Power University, Baoding 071003, China)

  • Fuwei Fan

    (Department of Power Engineering, North China Electric Power University, Baoding 071003, China)

  • Ruixing Zhang

    (Department of Power Engineering, North China Electric Power University, Baoding 071003, China)

  • Chunxi Li

    (Department of Power Engineering, North China Electric Power University, Baoding 071003, China)

Abstract

For a single-stage variable-pitch axial fan, the aerodynamic performance and through flow with and without blade skewing are examined numerically. Simulated results show that the total pressure rise and efficiency increase by 2.99% and 0.16%, respectively, with the best forward-skewed angle of θ = 3° at the design conditions. At the blade pitch angles of β = 29° and 35°, the total pressure rises and efficiency of the fan with θ = 3.0° under the highest efficiency point change by −0.55%, −0.53% and 1.39%, 2.11%, respectively. At design and off-design conditions, the forward-skewed blades mitigate tip leakage and delay the emergence of separation flow at the blade root, these benefits are higher at the higher blade pitch angle. The θ = 3.0° forward skew effectively raises the stage performance of the impeller and guide vanes.

Suggested Citation

  • Xuemin Ye & Fuwei Fan & Ruixing Zhang & Chunxi Li, 2019. "Prediction of Performance of a Variable-Pitch Axial Fan with Forward-Skewed Blades," Energies, MDPI, vol. 12(12), pages 1-20, June.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:12:p:2353-:d:241221
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    References listed on IDEAS

    as
    1. Yonggang Gou & Xiuzhi Shi & Jian Zhou & Xianyang Qiu & Xin Chen, 2017. "Characterization and Effects of the Shock Losses in a Parallel Fan Station in the Underground Mine," Energies, MDPI, vol. 10(6), pages 1-20, June.
    2. Lei Zhang & Liang Zhang & Qian Zhang & Kuan Jiang & Yuan Tie & Songling Wang, 2018. "Effects of the Second-Stage of Rotor with Single Abnormal Blade Angle on Rotating Stall of a Two-Stage Variable Pitch Axial Fan," Energies, MDPI, vol. 11(12), pages 1-18, November.
    3. Li, Chunxi & Lin, Qing & Ding, Xueliang & Ye, Xuemin, 2016. "Performance, aeroacoustics and feature extraction of an axial flow fan with abnormal blade angle," Energy, Elsevier, vol. 103(C), pages 322-339.
    4. Ye, Xuemin & Li, Pengmin & Li, Chunxi & Ding, Xueliang, 2015. "Numerical investigation of blade tip grooving effect on performance and dynamics of an axial flow fan," Energy, Elsevier, vol. 82(C), pages 556-569.
    5. Ghasemian, Masoud & Nejat, Amir, 2015. "Aero-acoustics prediction of a vertical axis wind turbine using Large Eddy Simulation and acoustic analogy," Energy, Elsevier, vol. 88(C), pages 711-717.
    6. Ye, Xuemin & Zhang, Jiankun & Li, Chunxi, 2017. "Effect of blade tip pattern on performance of a twin-stage variable-pitch axial fan," Energy, Elsevier, vol. 126(C), pages 535-563.
    7. Li, Chunxi & Li, Xinying & Li, Pengmin & Ye, Xuemin, 2014. "Numerical investigation of impeller trimming effect on performance of an axial flow fan," Energy, Elsevier, vol. 75(C), pages 534-548.
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    Cited by:

    1. Changlei Wang & Zirong Luo & Zhongyue Lu & Jianzhong Shang & Mangkuan Wang & Yiming Zhu, 2022. "Design and CFD Analysis of the Energy Efficiency of a Point Wave Energy Converter Using Passive Morphing Blades," Energies, MDPI, vol. 16(1), pages 1-14, December.
    2. Djordje S. Čantrak & Novica Z. Janković, 2022. "Turbulence Structure and Dynamics Investigation of Turbulent Swirl Flow in Pipe Using High-Speed Stereo PIV Data," Energies, MDPI, vol. 15(15), pages 1-13, July.

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