IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i23p15937-d988267.html
   My bibliography  Save this article

Analysis of Dust Emission Characteristics of Peanut Whole-Feed Harvesting Based on Total Amount Collection Method

Author

Listed:
  • Hongbo Xu

    (College of Engineering, China Agricultural University, Beijing 100083, China
    Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China)

  • Peng Zhang

    (Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China)

  • Zhichao Hu

    (Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China)

  • Enrong Mao

    (College of Engineering, China Agricultural University, Beijing 100083, China)

  • Zhaoyan You

    (Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China)

  • Yuefeng Du

    (College of Engineering, China Agricultural University, Beijing 100083, China)

Abstract

In view of the lack of a total amount collection method of dust emitted from a peanut whole-feed harvester and the unknown characteristic parameters of dust emission, a total amount dust collection method based on the combined action of centrifugation and filtration was proposed. The structural parameters of a total amount dust collection device were designed through theoretical analysis. On this basis, the production of a total amount dust collection device and a total amount dust collection test of the peanut whole-feed harvester were completed. The test showed that the total amount dust collection device could meet the needs of dust emission characteristics research. After analyzing the collected dust, it was found that the emitted particles were a mixture of soil particles and fiber particles. When the engine speed of the harvester was increased from 1600 rpm to 2400 rpm, the total emission rate increased from 3.36% to 4.28%, and the particulate emission rate increased from 1.44% to 2.63%; it also caused 4.29~4.98% of seedling blowing loss. The emission proportion of soil particles was reduced from 58.93% to 44.25%, and the emission proportion of fiber particles was increased from 41.07% to 55.75%. Among the emitted particles, the particle size peak of soil particles was concentrated at 22.9~30.2 μm; the particle size peak of fiber particles was concentrated at 478.6~631.0 μm. The research method and results can provide a reference for the optimization of dust reduction and emission reduction of peanut whole-feed harvesters and similar crop harvesters.

Suggested Citation

  • Hongbo Xu & Peng Zhang & Zhichao Hu & Enrong Mao & Zhaoyan You & Yuefeng Du, 2022. "Analysis of Dust Emission Characteristics of Peanut Whole-Feed Harvesting Based on Total Amount Collection Method," IJERPH, MDPI, vol. 19(23), pages 1-12, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15937-:d:988267
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/23/15937/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/23/15937/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peng Zhang & Hongbo Xu & Zhichao Hu & Youqing Chen & Mingzhu Cao & Zhaoyang Yu & Enrong Mao, 2021. "Characteristics of Agricultural Dust Emissions from Harvesting Operations: Case Study of a Whole-Feed Peanut Combine," Agriculture, MDPI, vol. 11(11), pages 1-14, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hongbo Xu & Peng Zhang & Fengwei Gu & Zhichao Hu & Hongguang Yang & Enrong Mao & Yuefeng Du, 2023. "Numerical Simulation and Experiment of Dust Suppression Device of Peanut Whole-Feed Combine Using Computational Fluid Dynamics," Agriculture, MDPI, vol. 13(2), pages 1-13, January.

    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. Yuan Liu & Long Shao & Wanzhang Wang & Jinfan Chen & Heng Zhang & Yue Yang & Baichen Hu, 2022. "Study on Fugitive Dust Control Technologies of Agricultural Harvesting Machinery," Agriculture, MDPI, vol. 12(7), pages 1-22, July.
    2. Hongbo Xu & Peng Zhang & Fengwei Gu & Zhichao Hu & Hongguang Yang & Enrong Mao & Yuefeng Du, 2023. "Numerical Simulation and Experiment of Dust Suppression Device of Peanut Whole-Feed Combine Using Computational Fluid Dynamics," Agriculture, MDPI, vol. 13(2), pages 1-13, January.
    3. Weipeng Zhang & Bo Zhao & Liming Zhou & Jizhong Wang & Kang Niu & Fengzhu Wang & Ruixue Wang, 2022. "Research on Comprehensive Operation and Maintenance Based on the Fault Diagnosis System of Combine Harvester," Agriculture, MDPI, vol. 12(6), pages 1-17, June.

    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:jijerp:v:19:y:2022:i:23:p:15937-:d:988267. 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.