IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i2p329-d1050531.html
   My bibliography  Save this article

Numerical Simulation and Experiment of Dust Suppression Device of Peanut Whole-Feed Combine Using Computational Fluid Dynamics

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)

  • Fengwei Gu

    (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)

  • Hongguang Yang

    (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)

  • Yuefeng Du

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

Abstract

Peanut whole-feed combines discharge a large amount of dust while harvesting, causing serious air pollution and detrimental environmental change. To reduce the dust emission from peanut whole-feed combines, a cyclone separation dust suppression device for peanut whole-feed combines was proposed in this study. A three-dimensional computational fluid dynamics (CFD) model coupled with dust particles and dust emission airflow was established to simulate the effect of a dust suppression device on capturing dust particles. Then, the effectiveness of the dust suppression device was verified by a dust suppression test system on a peanut whole-feed combine. The results show that when the inlet wind velocity of the dust suppression device increased from 15 m/s to 25 m/s, the separation efficiency of the measured value fluctuated between 90.79% and 96.07%, while the simulated value fluctuated between 95.18% and 96.59%. Moreover, the particle size of the discharged dust particles was significantly reduced under the action of the dust suppression device. The discharged dust particle size constant of the measured value was 8.6 μm, while the simulated value was 5.1 μm. The study methods and results can provide a reference for the dust suppression optimization of peanut whole-feed combines and similar agricultural machines.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:2:p:329-:d:1050531
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/2/329/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/13/2/329/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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 & 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.
    3. 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.
    4. Hongguang Yang & Mingzhu Cao & Bing Wang & Zhichao Hu & Hongbo Xu & Shenying Wang & Zhaoyang Yu, 2022. "Design and Test of a Tangential-Axial Flow Picking Device for Peanut Combine Harvesting," Agriculture, MDPI, vol. 12(2), pages 1-18, 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. Šimun Lončarević & Petar Ilinčić & Goran Šagi & Zoran Lulić, 2023. "Development of a Spatial Tier 2 Emission Inventory for Agricultural Tractors by Combining Two Large-Scale Datasets," Sustainability, MDPI, vol. 15(17), pages 1-19, August.
    2. Zhuang Zhao & Xiaoning He & Shuqi Shang & Jialin Hou & Hao Zhu & Haiqing Wang & Yuetao Wang & Dongjie Li & Zengcun Chang & Chao Xia & Dongwei Wang, 2022. "Design and Testing of Discrete Element-Based Counter-Rotating Excavation Device for Cyperus esculentus," Agriculture, MDPI, vol. 12(10), pages 1-24, October.
    3. 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.
    4. Haiyang Shen & Hongguang Yang & Qimin Gao & Fengwei Gu & Zhichao Hu & Feng Wu & Youqing Chen & Mingzhu Cao, 2023. "Experimental Research for Digging and Inverting of Upright Peanuts by Digger-Inverter," Agriculture, MDPI, vol. 13(4), pages 1-18, April.
    5. Dongjie Li & Shuqi Shang & Xiaoning He & Zhuang Zhao & Zengcun Chang & Yuetao Wang & Dongwei Wang, 2022. "Experiments and Analysis of a Peanut Semi-Feeding Picking Mechanism Based on the JKR Model," Agriculture, MDPI, vol. 12(9), pages 1-20, September.
    6. Šimun Lončarević & Petar Ilinčić & Zoran Lulić & Darko Kozarac, 2022. "Developing a Spatial Emission Inventory of Agricultural Machinery in Croatia by Using Large-Scale Survey Data," Agriculture, MDPI, vol. 12(11), pages 1-18, November.
    7. Hongbo Li & Lewei Chen & Zongyi Zhang, 2022. "A Study on the Utilization Rate and Influencing Factors of Small Agricultural Machinery: Evidence from 10 Hilly and Mountainous Provinces in China," Agriculture, MDPI, vol. 13(1), pages 1-25, December.
    8. 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.
    9. Hiwa Golpira & Rafael R. Sola-Guirado, 2022. "Data-Driven Simulator: Redesign of Chickpea Harvester Reels," Agriculture, MDPI, vol. 12(2), pages 1-11, February.
    10. 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:jagris:v:13:y:2023:i:2:p:329-:d:1050531. 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.