IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i4p543-d1366431.html
   My bibliography  Save this article

Optimized Design for Vibration Reduction in a Residual Film Recovery Machine Frame Based on Modal Analysis

Author

Listed:
  • Xinzhong Wang

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

  • Tianyu Hong

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

  • Weiquan Fang

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

  • Xingye Chen

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

Abstract

The technology of plastic film mulching is widely applied in Xinjiang, but it also brings about serious issues of residual film pollution. Currently, the 1MSF-2.0 residual film recovery machine can effectively address the problem. However, it faces challenges such as high overall machine weight and noticeable frame vibrations, which affect the stability of the entire machine operation. The frame, as the installation foundation, needs to bear loads and impact. Therefore, the reliability of the frame is crucial for the stability of the entire machine. Improving the frame’s vibration is of great importance. In response to the significant vibration issues during the operation of the 1MSF-2.0 residual film recovery machine, this paper utilized Workbench 2020 R2 to establish a finite element model of the machine frame and conducted static analysis to obtain strength information, thereby initially understanding the optimization space of the frame. Building upon this, Mechanical was employed to solve the first 14 natural frequencies and mode shapes of the frame, and the accuracy of the theoretical analysis was verified through modal testing. After analyzing the frequency characteristics of external excitation forces, it was found that the fourth-order natural frequency of the frame fell within the frequency range of the excitation force of the shaft of the straw grinder, causing resonance in the frame and necessitating structural optimization. The optimal results indicated that the optimized frame increased in mass by 4.41%, reduced the maximum stress value by 2.56 MPa, and increased the fourth-order natural frequency to 22.7 Hz, avoiding the frequency range of the excitation force of the shaft of the straw grinder, thus improving the resonance issue. This paper provides a reference for optimizing the design of the frame of the residual film recovery machine.

Suggested Citation

  • Xinzhong Wang & Tianyu Hong & Weiquan Fang & Xingye Chen, 2024. "Optimized Design for Vibration Reduction in a Residual Film Recovery Machine Frame Based on Modal Analysis," Agriculture, MDPI, vol. 14(4), pages 1-21, March.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:4:p:543-:d:1366431
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/4/543/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/14/4/543/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fazheng Wang & Yanbin Liu & Yaoming Li & Kuizhou Ji, 2023. "Research and Experiment on Variable-Diameter Threshing Drum with Movable Radial Plates for Combine Harvester," Agriculture, MDPI, vol. 13(8), pages 1-16, July.
    2. Liu, Jianliang & Huang, Xinya & Jiang, Haibo & Chen, Huai, 2021. "Sustaining yield and mitigating methane emissions from rice production with plastic film mulching technique," Agricultural Water Management, Elsevier, vol. 245(C).
    3. Xinzhong Wang & Yuhao Cao & Weiquan Fang & Haoran Sheng, 2023. "Vibration Test and Analysis of Crawler Pepper Harvester under Multiple Working Conditions," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    4. Maile Zhou & Zhaoxiang Wei & Zeliang Wang & Hao Sun & Guibin Wang & Jianjun Yin, 2023. "Design and Experimental Investigation of a Transplanting Mechanism for Super Rice Pot Seedlings," Agriculture, MDPI, vol. 13(10), pages 1-21, 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. 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.
    2. Chan Guo & Xufei Liu, 2022. "Effect of soil mulching on agricultural greenhouse gas emissions in China: A meta-analysis," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-14, January.

    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:14:y:2024:i:4:p:543-:d:1366431. 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.