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An Investigation on a Comprehensive Calibration Technique to Determine the Discrete Elemental Characteristics of Unrotted Sheep Dung at Varying Water Concentrations

Author

Listed:
  • Jian Wang

    (College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
    Inner Mongolia Engineering Research Center of Intelligent Equipment for the Entire Process of Forage and Feed Production, Hohhot 010018, China)

  • Kailin Ren

    (College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
    Inner Mongolia Engineering Research Center of Intelligent Equipment for the Entire Process of Forage and Feed Production, Hohhot 010018, China
    Advanced Manufacturing College, Nanchang University, Nanchang 330031, China)

  • Zhe Li

    (College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China)

  • Longfei Zhang

    (College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
    Inner Mongolia Engineering Research Center of Intelligent Equipment for the Entire Process of Forage and Feed Production, Hohhot 010018, China)

Abstract

An experimental study was undertaken to investigate the problem of the substantial variability in water content in unrotted sheep dung, which leads to a lack of universality and practicality in calibrating its discrete element simulation parameters. The stacking angle was used as the response value in these experiments. The objective of this study was to establish precise simulation parameters for the composting process. A model for water content-stacking angle was established using the cylinder-lifting technique, resulting in a correlation value of 0.997. Utilizing the Hertz–Mindlin with JKR bonding model, three EDEM particle models were developed, each with distinct particle sizes, based on the particle size distribution of sheep dung. The JKR surface energy was determined using the Plackett–Burman test, the steepest-climbing test, and the Box–Behnken test using a set of 10 parameters. A subsequent study was conducted on the JKR surface energy, rolling friction factor, and static friction factor utilizing the Plackett–Burman test and Box–Behnken test. A parameter model for stacking angle–discrete elements was developed that achieved a p -value below 0.0001 and a relative inaccuracy of 3.46% or less. The regression model for the water content–discrete element parameter was derived by combining the water content–stacking angle model with the stacking angle–discrete element parameter model. Validation of this model was conducted using both the pumping plate technique and the hopper approach, resulting in a relative error of 4.89% or less. The findings demonstrate that the specific characteristics of sheep manure may be accurately anticipated by considering its water content. This approach offers a valid and universally applicable way of predicting the specific characteristics of sheep dung in the simulation of composting equipment.

Suggested Citation

  • Jian Wang & Kailin Ren & Zhe Li & Longfei Zhang, 2024. "An Investigation on a Comprehensive Calibration Technique to Determine the Discrete Elemental Characteristics of Unrotted Sheep Dung at Varying Water Concentrations," Agriculture, MDPI, vol. 14(10), pages 1-22, October.
  • Handle: RePEc:gam:jagris:v:14:y:2024:i:10:p:1762-:d:1492928
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    References listed on IDEAS

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    1. Xiaolong Lei & Wencheng Wu & Xuan Deng & Tao Li & Hongnan Liu & Jinyue Guo & Ju Li & Peixu Zhu & Ke Yang, 2023. "Determination of Material and Interaction Properties of Granular Fertilizer Particles Using DEM Simulation and Bench Testing," Agriculture, MDPI, vol. 13(9), pages 1-17, August.
    2. Kailin Ren & Lide Su & Yong Zhang & Xiang He & Xuyang Cai, 2023. "Optimization and Experiment of Livestock and Poultry Manure Composting Equipment with Vented Heating," Sustainability, MDPI, vol. 15(14), pages 1-22, July.
    3. Yanli Li & Qingjie Li & Zhengyu Ji & Okbagaber Andom & Xiaoxing Wang & Xueqi Guo & Zhaojun Li, 2023. "Current Status and Spatiotemporal Evolution of Antibiotic Residues in Livestock and Poultry Manure in China," Agriculture, MDPI, vol. 13(10), pages 1-16, September.
    4. Hanchang Zhou & Lan Di & Xiaoju Hua & Tao Deng & Xiaodong Wang, 2023. "The Addition of a Small Dose of Cinnamomum camphora Biomass Unexpectedly Enhanced Lignocellulose Degradation during the Compost of Stropharia rugosoannulata Cultivation Materials," Sustainability, MDPI, vol. 15(13), pages 1-14, July.
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