Paper
7 October 2022 Discrete element modelling of Camellia oleifera fresh fruit and its simulation
Hefei Zhang, Xujie Li, Fengxin Yan
Author Affiliations +
Proceedings Volume 12344, International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022); 123440M (2022) https://doi.org/10.1117/12.2655202
Event: International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022), 2022, Zhuhai, China
Abstract
According to the problems such as the absence of an accurate model of Camellia oleifera fresh fruit, inaccurate simulation process of decladding, and experience-based development of decladding equipment, the study combined the feature of shape structure and material characteristics of Camellia oleifera fruit, and is based on the bonded-particle model of discrete element method (DEM). The spherical equation was used to establish the contour of Camellia fresh fruit, and the crack line structure model of shell was generated in meta-particle method. The flexible model of seed was constructed by the particle accumulation method, and the particle coordinate control program was compiled to construct the flexible composite DEM model of Camellia oleifera fruit. The load-displacement curve of compression in the simulation test of Camellia oleifera fruit is basically consistent with that of the physical experiment, and the accuracy of the DEM model of Camellia oleifera fruit is verified. The research results provide theoretical guidance for revealing the mechanism of Camellia oleifera fresh fruit decladding and optimizing technical parameters of decladding equipment.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hefei Zhang, Xujie Li, and Fengxin Yan "Discrete element modelling of Camellia oleifera fresh fruit and its simulation", Proc. SPIE 12344, International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022), 123440M (7 October 2022); https://doi.org/10.1117/12.2655202
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KEYWORDS
Particles

Spherical lenses

Reverse modeling

Composites

Process modeling

Instrument modeling

3D modeling

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