Characterization of temperature, moisture and stress distribution in corn drying process based on numerical simulation

文献类型： 外文期刊

第一作者： Zhang, Xinwei

作者： Zhang, Xinwei;Wang, Longfei;Yi, Kechuan;Chen, Jing

作者机构：

关键词： Numerical simulation; Corn drying; Temperature; Moisture content; Stress distribution; Angular box

期刊名称：JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION （ 影响因子：3.3； 五年影响因子：3.5 ）

ISSN： 2193-4126

年卷期： 2025 年 19 卷 8 期

页码：

收录情况： SCI

摘要： To enhance the effectiveness and quality of corn drying, the study took into account the fact that moisture can be found in both bound and free forms. At the same time, a model of corn drying process was constructed based on the law of energy conservation and heat transfer equation. In the construction of angular box deep bed drying model, considering the complex factors of heat and moisture exchange between layers of corn and the container wall, the model was modified and expanded, and the relevant parameters and boundary conditions (such as inlet wind speed of 1.25 m/s and initial corn moisture content of w.b. 25%) are set. The results revealed that the simulated values of wind speed at the outlet had the same trend of change as the test values, with a relative error of 3%-6%. The simulated value of corn moisture content had the same trend with the experimental value, and the relative error was less than 9%. In the process of angular box deep bed drying, there were differences in the moisture content of corn at different positions. The closer to the wind outlet, the faster the corn moisture content decreases. During the drying process, the mutual extrusion of corn grains and the change of support relationship led to the increase of stress, and the maximum stress was about 18.65 Pa. High-temperature hot-air treatment reduced the moisture content of corn more efficiently, but the uniformity of temperature distribution was poor at the beginning and then gradually improved. The angular box parallel and vertical distributions had little effect on the corn drying process. The research shows that the established model can accurately characterize the distribution characteristics of moisture, temperature, and stress during the hot air drying process of corn. It provides a theoretical basis for optimizing the drying process (such as hot air temperature control and equipment structure design), which helping improve drying efficiency and grain quality.

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