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Design and Performance Evaluation of a Multi-Point Extrusion Walnut Cracking Device

Author

Listed:
  • Hong Zhang

    (College of Mechanical and Electronic Engineering, Tarim University, Alar 843300, China
    Agricultural Engineering Key Laboratory, Ministry of Higher Education of Xinjiang Uygur Autonomous Region, Tarim University, Alar 843300, China)

  • Hualong Liu

    (College of Mechanical and Electronic Engineering, Tarim University, Alar 843300, China
    Agricultural Engineering Key Laboratory, Ministry of Higher Education of Xinjiang Uygur Autonomous Region, Tarim University, Alar 843300, China)

  • Yong Zeng

    (College of Mechanical and Electronic Engineering, Tarim University, Alar 843300, China
    Agricultural Engineering Key Laboratory, Ministry of Higher Education of Xinjiang Uygur Autonomous Region, Tarim University, Alar 843300, China)

  • Yurong Tang

    (College of Mechanical and Electronic Engineering, Tarim University, Alar 843300, China
    Agricultural Engineering Key Laboratory, Ministry of Higher Education of Xinjiang Uygur Autonomous Region, Tarim University, Alar 843300, China)

  • Zhaoguo Zhang

    (Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650000, China)

  • Ji Che

    (Xinjiang Jiangning Light Industry Mechanical Engineering Technology Co., Ltd., Urumqi 830011, China)

Abstract

The practical problems of existing methods of walnut cracking under compression loading, including incomplete walnut-shell crushing, broken walnut kernels, and so on, are widespread in walnut processing and are constraints that hinder mechanized walnut processing. Therefore, attempts have been made to design and optimize a multi-point extrusion walnut cracking device. For this, walnuts were fed manually into a cracking unit through the hopper. The tangential force of the grading roller graded the walnuts and dropped them into the gap between the rotating cracking roller and extrusion plate, causing them to crack. The developed machine was tested and the parameters were optimized using a central composite design (CCD). The objective functions involving the cracking angle (CA: 0.17, 0.27, 0.52, 0.76, 0.86°) and roller speed (RS: 63, 75, 105, 135, 147 r/min) were calculated. The shell cracking rate ( SCR ), whole kernel rate ( WKR ), and specific energy consumption (Es) regression models were established using the quadratic regression orthogonal combination test and the parameters were optimized using MATLAB software. The results showed that the most significant factors for the RS were the linear terms of the SCR and WKR , whereas for the CA the most significant factor was the linear term of the Es. The interaction term of the two factors had a significant effect on the three indicators. The optimal parameter combination was determined to be 0.47° for the CA and 108 r/min for the RS. On this basis, the adaptability test showed that the cracking device had a better cracking effect on walnuts with a gap between the walnut shell and kernel greater than 1.6 mm and a shell thickness less than 1.2 mm. The results have practical significance for the design of walnut cracking devices.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:9:p:1494-:d:917876
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    References listed on IDEAS

    as
    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. Ranbing Yang & Dongquan Chen & Xiantao Zha & Zhiguo Pan & Shuqi Shang, 2021. "Optimization Design and Experiment of Ear-Picking and Threshing Devices of Corn Plot Kernel Harvester," Agriculture, MDPI, vol. 11(9), pages 1-22, September.
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    Cited by:

    1. Yang Jiang & Yurong Tang & Wen Li & Yong Zeng & Xiaolong Li & Yang Liu & Hong Zhang, 2022. "Determination Method of Core Parameters for the Mechanical Classification Simulation of Thin-Skinned Walnuts," Agriculture, MDPI, vol. 13(1), pages 1-17, December.

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