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<p>The research and development of deep processing equipment for <i>Rosa roxburghii</i> are currently lacking an effective discrete element model. The present study employs the discrete element method to model and simulate the cutting of <i>Rosa roxburghii</i>. By employing image processing technology, the contour and feature points of <i>Rosa roxburghii</i> were extracted, allowing the creation of a three-dimensional model. A discrete element model of <i>Rosa roxburghii</i> was constructed using the Hertz-Mindlin (no slip) with bonding model to generate the connection mode of dense packing of single spherical particles. The intrinsic parameters and basic contact parameters were determined through physical experimentation. The maximum shear force was employed as the evaluation index, and the Plackett–Burman test, the steepest ascent test, and the response surface method were used in combination to design the experiment and determine the significant factors and their optimal parameter combinations. Subsequently, the cutting process of four distinct blade shapes was simulated. The results demonstrate that the optimal parameter combination is a normal stiffness of 8.414 × 10<sup>8</sup> N/m<sup>3</sup> per unit area, a tangential stiffness of 6.306 × 10<sup>8</sup> N/m<sup>3</sup> per unit area, and a bond radius of 1.804&#xa0;mm. The discrepancy between the simulated and actual maximum shear force for different blades is less than 8.65%. The <i>Rosa roxburghii</i> DEM is an effective tool for simulating the cutting process, which is crucial for understanding the mechanical properties of <i>Rosa roxburghii</i> and developing deep processing equipment. Practical Application. This study modeled and simulated the cutting of <i>Rosa roxburghii</i> by the discrete element method and determined the key physical parameters and discrete element model parameters of <i>Rosa roxburghii</i>. In practical applications, the research results can facilitate the development of <i>Rosa roxburghii</i> processing equipment. For example, based on the influence of different blades on the shearing force of <i>Rosa roxburghii</i>, it can provide a reference for blade selection, improve cutting efficiency, and reduce tissue damage, promoting the transformation of the <i>Rosa roxburghii</i> industry from manual processing to mechanized processing and enhancing production efficiency and product quality.</p>

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Modeling and Simulation of Cutting Test of Rosa roxburghii by DEM

  • 期刊论文

  • 发表日期：

    2025年4月17日

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  • Shetan Hu,
  • Zhiping Xie

摘要

The research and development of deep processing equipment for Rosa roxburghii are currently lacking an effective discrete element model. The present study employs the discrete element method to model and simulate the cutting of Rosa roxburghii. By employing image processing technology, the contour and feature points of Rosa roxburghii were extracted, allowing the creation of a three-dimensional model. A discrete element model of Rosa roxburghii was constructed using the Hertz-Mindlin (no slip) with bonding model to generate the connection mode of dense packing of single spherical particles. The intrinsic parameters and basic contact parameters were determined through physical experimentation. The maximum shear force was employed as the evaluation index, and the Plackett–Burman test, the steepest ascent test, and the response surface method were used in combination to design the experiment and determine the significant factors and their optimal parameter combinations. Subsequently, the cutting process of four distinct blade shapes was simulated. The results demonstrate that the optimal parameter combination is a normal stiffness of 8.414 × 108 N/m3 per unit area, a tangential stiffness of 6.306 × 108 N/m3 per unit area, and a bond radius of 1.804 mm. The discrepancy between the simulated and actual maximum shear force for different blades is less than 8.65%. The Rosa roxburghii DEM is an effective tool for simulating the cutting process, which is crucial for understanding the mechanical properties of Rosa roxburghii and developing deep processing equipment. Practical Application. This study modeled and simulated the cutting of Rosa roxburghii by the discrete element method and determined the key physical parameters and discrete element model parameters of Rosa roxburghii. In practical applications, the research results can facilitate the development of Rosa roxburghii processing equipment. For example, based on the influence of different blades on the shearing force of Rosa roxburghii, it can provide a reference for blade selection, improve cutting efficiency, and reduce tissue damage, promoting the transformation of the Rosa roxburghii industry from manual processing to mechanized processing and enhancing production efficiency and product quality.