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Design and Key Parameter Optimization of Conic Roller Shelling Device Based on Walnut Moisture-Regulating Treatments

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  • Jiannan Wang

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

  • Minji Liu

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

  • Huichang Wu

    (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)

  • Baoliang Peng

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

  • Yanshan Yang

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

  • Minzhu Cao

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

  • Hai Wei

    (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)

Abstract

The quality of walnuts deteriorates owing to the poor quality of the shelling equipment. The improvement of shelling quality is urgently required for walnut processing. In this study, systematic research was carried out on the changes in walnut mechanical properties, mechanical model of walnut shelling, and the key parameters of the equipment. The key parameters were determined as the angles of the shelling conic roller ( X 1 ), speeds of the shelling conic roller ( X 2 ), clearance between the shelling conic roller and the static roller ( X 3 ), and the moisture content of walnuts ( X 4 ). The Box–Behnken design method was used for the experimental design, an analysis of variance was applied to determine the graded significance of each variable on the rate of high-quality kernel (RHQK) and rate of shell rushing (RSC), and the multi-objective optimization method was used to obtain the optimal parameters for RHQK and RSC. The ranking of factors affecting RHQK and RSC were: (X 3 ) > (X 4 ) > (X 2 ) > (X 1 ) for RHQK, and (X 2 ) > (X 3 ) > (X 4 ) > (X 1 ) for RSC. The ranks of significant interactive effects among the factors were as follows: (X 1 X 2 ) > (X 2 X 3 ) for RHQK and (X 2 X 3 ) > (X 3 X 4 ) > (X 2 X 4 ) for RSC. The multi-objective optimization results showed that the optimal combination was X 1 = 15.83°, X 2 = 17.93 rpm, X 3 = 45 mm, and X 4 = 9.5%, yielding RHQK = 84.54%, and RSC = 99.15%. The verification test of the optimal results further illustrates the accuracy of the optimization. The obtained results showed that the quality of walnut shelling can be improved by adjusting the moisture content of walnuts and optimizing key parameters of the equipment. This method also represents a potential solution for improving the shelling quality of other nuts.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:4:p:561-:d:794102
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. Hong Zhang & Hualong Liu & Yong Zeng & Yurong Tang & Zhaoguo Zhang & Ji Che, 2022. "Design and Performance Evaluation of a Multi-Point Extrusion Walnut Cracking Device," Agriculture, MDPI, vol. 12(9), pages 1-17, September.
    2. Xiulan Bao & Biyu Chen & Peng Dai & Yishu Li & Jincheng Mao, 2022. "Construction and Verification of Spherical Thin Shell Model for Revealing Walnut Shell Crack Initiation and Expansion Mechanism," Agriculture, MDPI, vol. 12(9), pages 1-13, September.

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