IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v15y2025i9p921-d1640621.html
   My bibliography  Save this article

Biomimetic Structural Design for Reducing the Adhesion Between Wet Rice Leaves and Metal Surfaces

Author

Listed:
  • Pengfei Qian

    (School of Mechanical Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Qi He

    (School of Mechanical Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Zhong Tang

    (School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
    Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, Jiangsu University, Zhenjiang 212013, China)

  • Tingwei Gu

    (School of Mechanical Engineering, Jiangsu University, Zhenjiang 212013, China)

Abstract

Adhesion behavior between wet rice leaves and metal surfaces exacerbates the difficulty in separating and removing grains in the cleaning device. Reducing the adhesion between the wet rice leaves and the cleaning device is an important factor in improving the harvesting performance of rice combine harvesters. This paper investigates the possibility of reducing the adhesion between them. By studying the liquid shape characteristics between the removed grains and the surface, it was found that the adhesion force between the leaf and the surface is greatest when additional pressure is present. Based on biomimetic principles and the convex hull structure of a dung beetle’s head, a convex hull structure for the metal surface was designed to balance the atmospheric pressure on both sides of the leaf in order to eliminate additional pressure. Using the liquid bridge model between a spherical and a flat surface, a liquid bridge model for the leaf and convex hull surface was established. By optimizing the minimum liquid bridge force, the convex hull radius and distance were determined to be 2.47 mm and 1.38 mm, respectively. Contact and collision experiments verified that the convex hull surface is more effective in reducing the adhesion of moist leaves, providing a reference for future research on the cleaning methods of moist rice grains.

Suggested Citation

  • Pengfei Qian & Qi He & Zhong Tang & Tingwei Gu, 2025. "Biomimetic Structural Design for Reducing the Adhesion Between Wet Rice Leaves and Metal Surfaces," Agriculture, MDPI, vol. 15(9), pages 1-24, April.
    • Handle: RePEc:gam:jagris:v:15:y:2025:i:9:p:921-:d:1640621
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/15/9/921/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/15/9/921/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tao Zhang & Yaoming Li & Lizhang Xu & Yanbin Liu & Kuizhou Ji & Sheng Jiang, 2022. "Experimental Study on Fluidization Behaviors of Wet Rice Threshed Materials with Hot Airflow," Agriculture, MDPI, vol. 12(5), pages 1-13, April.
    2. Yang Li & Lizhang Xu & Liya Lv & Yan Shi & Xun Yu, 2022. "Study on Modeling Method of a Multi-Parameter Control System for Threshing and Cleaning Devices in the Grain Combine Harvester," Agriculture, MDPI, vol. 12(9), pages 1-18, September.
    3. Weijian Liu & Shan Zeng & Xuegeng Chen, 2024. "Vortex Cleaning Device for Rice Harvester: Design and Bench Test," Agriculture, MDPI, vol. 14(6), pages 1-15, May.
    4. Lulu Yuan & Zhong Tang & Sifan Liu & Ting Wang & Zhao Ding, 2024. "Design for Copying Grouser and Bionic Convex Hull Patterns on Track Surfaces of Crawler Combine Harvesters," Agriculture, MDPI, vol. 14(7), pages 1-22, July.
    5. Tao Zhang & Yaoming Li & Guoliang You, 2023. "Experimental Study on the Cleaning Performance of Hot Air Flow Cleaning Device," Agriculture, MDPI, vol. 13(9), pages 1-17, September.
    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. Zifeng Pei & Li Zhang & Haijun Fu & Yucheng Wang, 2025. "New Fault-Tolerant Sensorless Control of FPFTPM Motor Based on Hybrid Adaptive Robust Observation for Electric Agricultural Equipment Applications," Energies, MDPI, vol. 18(8), pages 1-22, April.
    2. Shiguo Wang & Bin Li & Shuren Chen & Zhong Tang & Weiwei Zhou & Xiaohu Guo, 2024. "Design and Performance Test of Soybean Profiling Header Suitable for Harvesting Bottom Pods on Film," Agriculture, MDPI, vol. 14(7), pages 1-16, June.
    3. Zhenwei Liang & Yongqi Qin & Zhan Su, 2024. "Establishment of a Feeding Rate Prediction Model for Combine Harvesters," Agriculture, MDPI, vol. 14(4), pages 1-15, April.
    4. Zhenwei Liang & Xingyue Xu & Deyong Yang & Yanbin Liu, 2025. "The Development of a Lightweight DE-YOLO Model for Detecting Impurities and Broken Rice Grains," Agriculture, MDPI, vol. 15(8), pages 1-17, April.
    5. Zhenwei Liang & Jia Liu & Deyong Yang & Kangcheng Ouyang, 2024. "Modeling and Simulation of Reel Motion in a Foxtail Millet Combine Harvester," Agriculture, MDPI, vol. 15(1), pages 1-16, December.
    6. Ze Liu & Hanping Mao & Yana Wang & Tao Jiang & Zhiyu Zuo & Jiajun Chai & Chengyi Liu & Lei Shen & Shuocheng Wei & Guoxin Ma, 2025. "Design and Experiment of a Universal Harvesting Platform for Cabbage and Chinese Cabbage," Agriculture, MDPI, vol. 15(9), pages 1-29, April.
    7. Bangzhui Wang & Kexin Que & Zhong Tang & Meiyan Sun & Yi Lian & Haoyang Wang, 2024. "Multivariate Structural Vibration Coupling Response of the Self-Propelled Straw Pickup Baler Under Time-Varying Loads," Agriculture, MDPI, vol. 14(11), pages 1-28, November.
    8. Yi Lian & Bangzhui Wang & Meiyan Sun & Kexin Que & Sijia Xu & Zhong Tang & Zhilong Huang, 2025. "Design of a Conveyer Trough Bolt Signal Acquisition System and Bayesian Ensemble Identification Method for Working State," Agriculture, MDPI, vol. 15(9), pages 1-29, April.

    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:15:y:2025:i:9:p:921-:d:1640621. 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.