IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0276139.html

Design and optimization of sheller for ginkgo nut: A study about multifunctional ginkgo nut sheller

Author

Listed:
  • Minji Liu
  • Jiannan Wang
  • Ni Wang
  • Huanxiong Xie
  • Huijuan Zhang
  • Haiyang Shen
  • Xuemei Gao

Abstract

At present, ginkgo nut shellers have many problems, such as low shelling rate and high damage rate. To address these problems, a multifunctional ginkgo nut sheller was designed. The equipment had functions for shell breaking, shelling, and separation of shell from the kernel. The influencing factors of the shelling process were analyzed. A three-factor two-level response surface test was conducted, and mathematical models for the response surface were established. The influence of each factor on the operation quality was analyzed, and a combination of parameters was optimized. The experimental results showed that the factors in the order of importance of their influence on shelling rate was as follows: feeding rate, chainplate speed, and shelling gap. The factors in the order of importance of their influence on damage rate was as follows: shelling gap, chainplate speed, and feeding rate. The results of the interaction analysis conducted showed that the interaction between the chainplate speed and shelling gap had the highest significant effect on the shelling rate, followed by the interaction between the feeding rate and chainplate speed. The interaction between the chainplate speed and shelling gap had a significant effect on damage rate. The interaction between the other factors had no significant effect on shelling and damage rates. The optimal combination of parameters was as follows: the feeding rate was 30.2 g/s, the chainplate speed was 0.48 m/s, and the shelling gap was 12.3 mm. The optimal combination was employed, and the validation test resulted in a shelling rate of 98.02% and damage rate of 4.45%. The relative error between the measured and theoretical values was less than 5%, indicating that the models were reliable. This study can provide a reference for subsequent research on shelling equipment of ginkgo nut.

Suggested Citation

  • Minji Liu & Jiannan Wang & Ni Wang & Huanxiong Xie & Huijuan Zhang & Haiyang Shen & Xuemei Gao, 2022. "Design and optimization of sheller for ginkgo nut: A study about multifunctional ginkgo nut sheller," PLOS ONE, Public Library of Science, vol. 17(10), pages 1-20, October.
    • Handle: RePEc:plo:pone00:0276139
    DOI: 10.1371/journal.pone.0276139
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0276139
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0276139&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0276139?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    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. 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. 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.
    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. 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.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0276139. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.