IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v263y2023ipcs0360544222027153.html
   My bibliography  Save this article

Aerodynamic performance improvement and noise control for the multi-blade centrifugal fan by using bio-inspired blades

Author

Listed:
  • Wang, Jiahao
  • Liu, Xiaomin
  • Tian, Chenye
  • Xi, Guang

Abstract

Inspired by the swimming characteristics of carps in the C-shaped starting posture, the bionic design of the blade is developed to improve the aerodynamic performance, reduce noise and conserve energy of multi-blade centrifugal fans. By adopting the reverse engineering method, the bionic equal-thickness blades (BETBs) inspired by the C-shaped starting mid-arc of carp are designed and optimized. Based on the comparison between numerical and experimental results of the aerodynamic performance of fan, the optimal bionic equal-thickness blade (O-BETB) is obtained. When the O-BETEs are applied to the original fan, the flow rate is increased by 6.8% and the noise is reduced by 0.5 dB(A). Further, the reconstructed geometric profile of fish body is coupled into the O-BETB to improve the aerodynamic performance of the fan. The results show that the flow rate with the coupled bionic blades (CBB) is increased by 8.3%, while the noise is reduced by 1.1 dB(A), and the power and efficiency are also optimized. The internal flow field, sound field and acoustic characteristics are analyzed to reveal the generation mechanism of aerodynamic noise. The aerodynamic noise of the fan is mainly concentrated in the low and middle frequency range, and its propagation process has obvious dipole characteristics. Meanwhile, because the profile of CBB is more in line with the flow characteristics in the fan, the separation vortex and secondary-flow vortex in the impeller channel and the unsteady interaction between the blade wake-flow and the volute are significantly suppressed, which is also the main reason for the CBB to reduce the noise.

Suggested Citation

  • Wang, Jiahao & Liu, Xiaomin & Tian, Chenye & Xi, Guang, 2023. "Aerodynamic performance improvement and noise control for the multi-blade centrifugal fan by using bio-inspired blades," Energy, Elsevier, vol. 263(PC).
    • Handle: RePEc:eee:energy:v:263:y:2023:i:pc:s0360544222027153
    DOI: 10.1016/j.energy.2022.125829
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222027153
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.125829?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Lei & He, Ruiyang & Wang, Xin & Zhang, Qian & Wang, Songling, 2019. "Study on static and dynamic characteristics of an axial fan with abnormal blade under rotating stall conditions," Energy, Elsevier, vol. 170(C), pages 305-325.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Wei & Li, Enda & Ji, Leilei & Zhou, Ling & Shi, Weidong & Zhu, Yong, 2020. "Mechanism and propagation characteristics of rotating stall in a mixed-flow pump," Renewable Energy, Elsevier, vol. 153(C), pages 74-92.
    2. Ye, Xuemin & Zheng, Nan & Hu, Jiami & Li, Chunxi & Xue, Zhanpu, 2022. "Numerical investigation of the benefits of serrated Gurney flaps on an axial flow fan," Energy, Elsevier, vol. 252(C).
    3. Liu, Xue & Liu, Jian & Wang, Dong & Zhao, Long, 2021. "Experimental and numerical simulation investigations of an axial flow fan performance in high-altitude environments," Energy, Elsevier, vol. 234(C).
    4. Yaguang Heng & Bo Hu & Qifeng Jiang & Zhengwei Wang & Xiaobing Liu, 2020. "Stall Mode Transformation in the Wide Vaneless Diffuser of Centrifugal Compressors," Energies, MDPI, vol. 13(22), pages 1-14, November.
    5. Wei Yuan & Fengzhong Sun & Ruqing Liu & Xuehong Chen & Ying Li, 2020. "The Effect of Air Parameters on the Evaporation Loss in a Natural Draft Counter-Flow Wet Cooling Tower," Energies, MDPI, vol. 13(23), pages 1-16, November.
    6. Wang, Youhao & Sun, Lihui & Guo, Chang & He, Suoying & Gao, Ming & Xu, Qinghua & Zhang, Qiang, 2023. "Vibration characteristics and strength analysis of two-stage variable-pitch axial-flow fan based on fluid-solid coupling method," Energy, Elsevier, vol. 284(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:263:y:2023:i:pc:s0360544222027153. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.