IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i2p430-d1065833.html
   My bibliography  Save this article

Optimization-Design and Atomization-Performance Study of Aerial Dual-Atomization Centrifugal Atomizer

Author

Listed:
  • Zhou Yang

    (College of Engineering, South China Agricultural University, Guangzhou 510642, China
    Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
    School of Mechanical Engineering, Guangdong Ocean University, Zhanjiang 524088, China)

  • Jiaxiang Yu

    (College of Engineering, South China Agricultural University, Guangzhou 510642, China
    Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China)

  • Jieli Duan

    (College of Engineering, South China Agricultural University, Guangzhou 510642, China
    Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China)

  • Xing Xu

    (College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China)

  • Guangsheng Huang

    (College of Engineering, South China Agricultural University, Guangzhou 510642, China
    Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China)

Abstract

The aerial atomizer is the most essential component of the plant protection UAV (unmanned aerial vehicle). However, the structural optimization of existing aerial atomizers lacks comprehensive consideration of spray parameters and structural parameters, and there is a shortage of available atomizer spray models, resulting in the unstable effect of UAV application. In our previous work, an aerial dual-atomization centrifugal atomizer was developed. In order to obtain an aerial atomizer with good atomization effect and its atomization model, structural optimization at different rotation speeds and flow rates of the atomizer, and its atomization performance, are studied in this paper. Firstly, with the droplet volume median diameter (VMD) and spectral width (SRW) as the evaluation index, through the single-factor, Plackett–Burman and Box–Behnken tests, the influence of rotation speed, flow rate, tooth number and tooth shape were studied. The regression models of the droplet VMD and SRW were established using multiple quadratic regression fitting of the test data. Secondly, in order to achieve the lowest droplet VMD and SRW, the response surface method and post-hoc multiple comparison method were used to obtain the optimized structure of the atomizer’s rotation ring at different rotation speeds (600–7000 r/min) and flow rates (500–1000 mL/min). Lastly, with the effective swath width (ESW) of the optimized atomizer as the evaluation index, through the Box–Behnken test, the influence of rotation speed, flow rate and spray height were studied. The multiple quadratic regression model of ESW was established with the test data. The test results indicated that rotation speed, flow rate and tooth number had a significant effect on droplet VMD and SRW; tooth shape had no significant effect on the droplet VMD and SRW, however, the square tooth shape had the best atomization effect; and rotation speed, flow rate and spray height had a significant effect on ESW. The optimized structural parameters were tooth shape: square, and tooth number: 20. The determination coefficient R 2 of the regression model of VMD, SRW and ESW were 0.9976, 0.9770 and 0.9974, respectively, which indicates that the model was accurate, and can evaluate and predict the spray effect. This paper provides an optimized dual-atomization centrifugal atomizer, and its regression models of VMD, SRW and ESW for UAV applications can provide a reference for efficient UAV spraying.

Suggested Citation

  • Zhou Yang & Jiaxiang Yu & Jieli Duan & Xing Xu & Guangsheng Huang, 2023. "Optimization-Design and Atomization-Performance Study of Aerial Dual-Atomization Centrifugal Atomizer," Agriculture, MDPI, vol. 13(2), pages 1-19, February.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:2:p:430-:d:1065833
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/2/430/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/13/2/430/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xin Ji & Aichen Wang & Xinhua Wei, 2021. "Precision Control of Spraying Quantity Based on Linear Active Disturbance Rejection Control Method," Agriculture, MDPI, vol. 11(8), pages 1-17, August.
    2. Zhenzhen Cheng & Lijun Qi & Yifan Cheng, 2021. "Cherry Tree Crown Extraction from Natural Orchard Images with Complex Backgrounds," Agriculture, MDPI, vol. 11(5), pages 1-19, May.
    3. Dashuai Wang & Sheng Xu & Zhuolin Li & Wujing Cao, 2022. "Analysis of the Influence of Parameters of a Spraying System Designed for UAV Application on the Spraying Quality Based on Box–Behnken Response Surface Method," Agriculture, MDPI, vol. 12(2), pages 1-14, January.
    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. Jerzy Chojnacki & Aleksandra Pachuta, 2021. "Impact of the Parameters of Spraying with a Small Unmanned Aerial Vehicle on the Distribution of Liquid on Young Cherry Trees," Agriculture, MDPI, vol. 11(11), pages 1-13, November.
    2. Guanqun Wang & Ziyu Li & Weidong Jia & Mingxiong Ou & Xiang Dong & Zhengji Zhang, 2025. "A Review on the Evolution of Air-Assisted Spraying in Orchards and the Associated Leaf Motion During Spraying," Agriculture, MDPI, vol. 15(9), pages 1-24, April.
    3. Zhongao Lu & Lijun Qi & Hao Zhang & Junjie Wan & Jiarui Zhou, 2022. "Image Segmentation of UAV Fruit Tree Canopy in a Natural Illumination Environment," Agriculture, MDPI, vol. 12(7), pages 1-16, July.
    4. Gonçalo C. Rodrigues, 2022. "Precision Agriculture: Strategies and Technology Adoption," Agriculture, MDPI, vol. 12(9), pages 1-4, September.

    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:gam:jagris:v:13:y:2023:i:2:p:430-:d:1065833. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.