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Parameter Optimization and Testing of a Self-Propelled Combine Cabbage Harvester

Author

Listed:
  • Jianfei Zhang

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

  • Guangqiao Cao

    (Graduate School, Chinese Academy of Agricultural Sciences, Beijing 100083, China)

  • Yue Jin

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

  • Wenyu Tong

    (Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
    College of Engineering, Shenyang Agricultural University, Shenyang 110866, China)

  • Ying Zhao

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

  • Zhiyu Song

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

Abstract

On account of a lack of suitable and specialized harvesting equipment for cabbage species and planting modes in China, in this study, a type of 4GCSD-1200 type cabbage harvester was designed to further optimize the working performance of the cabbage harvester. First, the structure and working principles of the harvester were introduced, and the cabbage harvesting process was analyzed. Based on the test method and theoretical analysis, a single-factor test was carried out on the main working parameters of the sample machine, the advancing speed, rotating speed of the pulling roller, rotating speed of the conveyor belt, and the cutter-head were taken as independent variables, and the qualifying rate of cabbage harvesting was taken as the response value. According to the Box–Behnken test design principles, a four-factor three-level response surface analysis was adopted to establish a mathematical model between all test factors and the qualifying rate of cabbage harvesting, then all test factors and their interaction effects were analyzed. The test results showed that the optimal working parameters of the harvester were: the advancing speed was 1.1 km/h, the rotating speed of the pulling roller was 90 r/min, the rotating speed of the conveyor belt was 205 r/min, and the rotating speed of the cutter-head was 395 r/min. The verification test results showed that the qualifying rate of cabbage harvesting was 96.3%, showing a good harvesting effect, with uniformly cut notches and a low damage rate. The test indicates that by optimizing the working parameters, the damage during the mechanized harvesting of cabbage can be reduced and the qualifying rate of harvesting can be improved; the working effect could, therefore, satisfy the requirements of market harvesting.

Suggested Citation

  • Jianfei Zhang & Guangqiao Cao & Yue Jin & Wenyu Tong & Ying Zhao & Zhiyu Song, 2022. "Parameter Optimization and Testing of a Self-Propelled Combine Cabbage Harvester," Agriculture, MDPI, vol. 12(10), pages 1-19, October.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:10:p:1610-:d:933241
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    References listed on IDEAS

    as
    1. Liquan Yang & Qingqing Lü & Hongmei Zhang, 2022. "Experimental Study on Direct Harvesting of Corn Kernels," Agriculture, MDPI, vol. 12(7), pages 1-15, June.
    2. Gaokun Shi & Jingbin Li & Za Kan & Longpeng Ding & Huizhe Ding & Lun Zhou & Lihong Wang, 2022. "Design and Parameters Optimization of a Provoke-Suction Type Harvester for Ground Jujube Fruit," Agriculture, MDPI, vol. 12(3), pages 1-16, March.
    3. Yanbin Liu & Yaoming Li & Lipeng Chen & Tao Zhang & Zhenwei Liang & Mingsen Huang & Zhan Su, 2021. "Study on Performance of Concentric Threshing Device with Multi-Threshing Gaps for Rice Combines," Agriculture, MDPI, vol. 11(10), pages 1-15, October.
    4. Anming Yang & Wei Xiang & Bo Yan & Yiping Duan & Jiangnan Lv & Mingliang Wu, 2022. "Optimization and Test of Structural Parameters of Flat Hob Chopper," Agriculture, MDPI, vol. 12(6), pages 1-13, June.
    5. Kun Wu & Min Zhang & Gang Wang & Xu Chen & Jun Wu, 2022. "A Continuous Single-Layer Discrete Tiling System for Online Detection of Corn Impurities and Breakage Rates," Agriculture, MDPI, vol. 12(7), pages 1-18, June.
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    Cited by:

    1. Jinming Zheng & Lin Wang & Xiaochan Wang & Yinyan Shi & Zhenyu Yang, 2023. "Parameter Calibration of Cabbages ( Brassica oleracea L.) Based on the Discrete Element Method," Agriculture, MDPI, vol. 13(3), pages 1-17, February.

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