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Optimization of Material for Key Components and Parameters of Peanut Sheller Based on Hertz Theory and Box–Behnken Design

Author

Listed:
  • Jiannan Wang

    (College of Engineering, Nanjing Agricultural University, Nanjing 210000, China
    Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China)

  • Huanxiong Xie

    (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)

  • Minji Liu

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

  • Jinyi Peng

    (College of Engineering, Nanjing Agricultural University, Nanjing 210000, China)

  • Qishuo Ding

    (College of Engineering, Nanjing Agricultural University, Nanjing 210000, China)

  • Baoliang Peng

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

  • Chenbin Ma

    (College of Engineering, Nanjing Agricultural University, Nanjing 210000, China)

Abstract

Poor shelling quality degrades the performance and profit of the peanut industry. The Hertz theory and the wear resistance experimental method were applied to identify a highly wear-resistant material guaranteeing a low mechanical damage rate (MDR) of peanut kernels. The Box–Behnken design method was applied in the experiment to illustrate the influence of the material’s elastic modulus ( X 1 ), radius of curvature of the key parts ( X 2 ), rotating speed of the shelling drum ( X 3 ), and clearance between the shelling drum and concave screen ( X 4 ) on MDR and shelling efficiency (SE). Depending on the analysis of variance, the weights of the influential factors were observed as X 1 > X 3 > X 4 > X 2 . The mathematical models of MDR and SE were derived from the least squares’ method, and four-dimensional slice diagrams of the three most significant factors were used to illustrate the trends of MDR and SE. A multi-objective analysis provided the optimal combination of parameters as: X 1 = 10 MPa, X 2 = 12.77 mm, X 3 = 277.48 r/min, and X 4 = 24.24 mm, yielding MDR = 4.89% and SE = 97.91%. The results were further verified by a production trial test, proving that the proposed solution with the selected material, machine design, and working parameters were effective in improving peanut shelling quality.

Suggested Citation

  • Jiannan Wang & Huanxiong Xie & Zhichao Hu & Minji Liu & Jinyi Peng & Qishuo Ding & Baoliang Peng & Chenbin Ma, 2022. "Optimization of Material for Key Components and Parameters of Peanut Sheller Based on Hertz Theory and Box–Behnken Design," Agriculture, MDPI, vol. 12(2), pages 1-17, January.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:2:p:146-:d:730424
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    References listed on IDEAS

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    1. Mohamed Hamza & Mohamed Abbas & Asmaa Abd Elrahman & Mohamed Helal & Mohamed Shahba, 2021. "Conventional versus Nano Calcium Forms on Peanut Production under Sandy Soil Conditions," Agriculture, MDPI, vol. 11(8), pages 1-12, August.
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    Cited by:

    1. Jiannan Wang & Minji Liu & Huichang Wu & Jinyi Peng & Baoliang Peng & Yanshan Yang & Minzhu Cao & Hai Wei & Huanxiong Xie, 2022. "Design and Key Parameter Optimization of Conic Roller Shelling Device Based on Walnut Moisture-Regulating Treatments," Agriculture, MDPI, vol. 12(4), pages 1-15, April.
    2. 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.
    3. Bokai Wang & Fengwei Gu & Mingzhu Cao & Huanxiong Xie & Feng Wu & Baoliang Peng & Zhichao Hu, 2022. "Analysis and Evaluation of the Influence of Different Drum Forms of Peanut Harvester on Pod-Pickup Quality," Agriculture, MDPI, vol. 12(6), pages 1-18, May.
    4. Bokai Wang & Feng Wu & Fengwei Gu & Hongchen Yang & Huichang Wu & Zhichao Hu, 2023. "Experimental Analysis and Evaluation of Automatic Control System for Evenly Scattering Crushed Straw," Agriculture, MDPI, vol. 13(3), pages 1-15, March.

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