Finite element analysis of the compression behavior and damage mechanisms of fresh corn kernels

文献类型： 外文期刊

第一作者： Li, Yang

作者： Li, Yang;Fu, Jun;Fu, Qiankun;Wang, Hengyi;Li, Yang;Fu, Jun;Fu, Qiankun;Wang, Hengyi;Li, Yang;Fu, Jun;Wang, Hengyi;Chen, Zhi;Liu, Xiaotan

作者机构：

关键词： Fresh corn; Loading-unloading; CT scanning; FEM; Damage evolution mechanism

期刊名称：INDUSTRIAL CROPS AND PRODUCTS （ 影响因子：6.2； 五年影响因子：6.2 ）

ISSN： 0926-6690

年卷期： 2025 年 233 卷

页码：

收录情况： SCI

摘要： Latent internal damage to fresh corn kernels during harvesting and transportation is a significant issue. This study investigated the compression mechanical behavior and internal damage evolution mechanisms of fresh corn kernels. Compression loading-unloading tests were performed on kernels at four moisture contents and five loading forces using a texture analyzer. Reverse engineering techniques were used to develop single-structure and composite-structure models. Finite element analysis, combined with CT imaging, was employed to simulate and analyze the compression process for both models. The results showed that as the load increased, a distinct drop in force was observed in the force-displacement curve, indicating a change in the mechanical behavior of the kernel. At a moisture content of 72 %, the kernel exhibited the lowest force drop, approximately 4.8 +/- 0.3 N. Additionally, the corresponding drop force decreased with increasing moisture content. Both moisture content and loading force were positively correlated with the hysteresis loss rate (P <= 0.05). The agreement between the CT imaging results and the composite-structure simulation outcomes provided further validation of the simulation model's accuracy in predicting the internal stress distribution and damage progression within the kernels. The internal damage in the kernels was caused by interface slip, local failure, and stress concentration between the endosperm, germ, and seed coat. By comparing the experimental and simulated force-displacement data of the two models, it was found that the relative displacement error of the compositestructure model ranged from 5.27 % to 7.49 %, while that of the single-structure model ranged from 11.19 % to 56.61 %. The slope of the linear fit between the composite-structure model's simulated displacement and the actual displacement was closer to 1, indicating that the composite-structure model provides a more accurate prediction of internal stress distribution and damage evolution. This study provides a theoretical foundation for minimizing kernel damage during harvesting and transportation.

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