IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v11y2021i10p986-d652935.html
   My bibliography  Save this article

Optimization and Experiment of Straw Back-Throwing Device of No-Tillage Drill Using Multi-Objective QPSO Algorithm

Author

Listed:
  • Hongbo Xu

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

  • Zhichao Hu

    (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

    (Key Laboratory of Modern Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
    College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)

  • Feng Wu

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

  • Wanli Song

    (College of Mechanical Engineering and Automation, Northeastern University, Shenyang 110167, China)

  • Chunci Wang

    (College of Mechanical Engineering and Automation, Northeastern University, Shenyang 110167, China)

Abstract

Reducing operation energy consumption is the development demand of conservation tillage equipment. In order to solve the problems of high power consumption and the easy blockage of the no-tillage drill under full straw retention, the key parameters of the straw back-throwing device were optimized in this study. The Box–Behnken central combination test method was used to analyze the influence of the impeller rotating speed, feed quantity and cross-sectional area of the throwing pipe on the specific power consumption and throwing speed, the mathematical models of which were built with the aid of the least square method. In addition, the mathematical models were optimized by using a multi-objective quantum behaved particle swarm optimization (QPSO) with an improved target weighting coefficient. The optimization results indicated that, when the impeller rotating speed was 2287 r/min, the feed quantity was 1.1 kg/s and the cross-sectional area of the throwing pipe was 506.997 cm 2 , the specific power consumption and throwing speed by the models were 7528 m 2 /s 2 and 11.73 m/s, respectively. The models were verified by comparing the optimization results with the measured data in the simulation filed tests, which proved that the multi-objective QPSO algorithm was feasible to optimize the working and structural parameters of the straw back-throwing device of the no-tillage drill under full straw retention. The results provide references for the parameter optimization of similar no-tillage drills under straw retention.

Suggested Citation

  • Hongbo Xu & Zhichao Hu & Peng Zhang & Fengwei Gu & Feng Wu & Wanli Song & Chunci Wang, 2021. "Optimization and Experiment of Straw Back-Throwing Device of No-Tillage Drill Using Multi-Objective QPSO Algorithm," Agriculture, MDPI, vol. 11(10), pages 1-15, October.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:10:p:986-:d:652935
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/11/10/986/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/11/10/986/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jiale Zhao & Xiaogeng Wang & Jian Zhuang & Huili Liu & Yijia Wang & Yajun Yu, 2021. "Coupled Bionic Design Based on Primnoa Mouthpart to Improve the Performance of a Straw Returning Machine," Agriculture, MDPI, vol. 11(8), pages 1-14, August.
    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. Shuzhen Yang & Bocai Jia & Tao Yu & Jin Yuan, 2022. "Research on Multiobjective Optimization Algorithm for Cooperative Harvesting Trajectory Optimization of an Intelligent Multiarm Straw-Rotting Fungus Harvesting Robot," Agriculture, MDPI, vol. 12(7), pages 1-24, July.

    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. Minghao Qu & Gang Wang & Zihao Zhou & Xiaomei Gao & Hailan Li & Hewen Tan & Meiqi Xiang & Honglei Jia, 2023. "Development and Performance Evaluation of a Pressure-Adjustable Waterjet Stubble-Cutting Device with Thickness Detection for No-Till Sowing," Sustainability, MDPI, vol. 15(17), pages 1-18, August.
    2. Wenqi Zhou & Chao Song & Xiaobo Sun & Ziming Liu & Xue Ni & Kangjia Shen & Yi Jia Wang & Liquan Tian, 2022. "Design of High-Efficiency Soil-Returning Liquid Fertilizer Deep-Application Furrow Openers for Improving Furrowing Performance in Cold Regions of Northeast China," Agriculture, MDPI, vol. 12(9), pages 1-21, August.

    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:11:y:2021:i:10:p:986-:d:652935. 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.