农产品干燥过程数值模拟研究现状及进展

Study on numerical simulation in drying of agricultural products

我国是农业大国,农产品种类丰富,产量也居世界前列。但目前产后加工贮藏环节较薄弱,常因产后干燥不及时致产品发生霉变,或干燥参数不合理影响农产品品质,造成巨大经济损失。随着计算机技术的发展,数值模拟方法已广泛应用于农产品干燥研究中,通过数值模拟方法对农产品干燥过程进行分析,可有效模拟其干燥过程温湿度变化,节约干燥工艺开发时间,降低生产成本。该文概括了农产品干燥经验模型、理论模型以及人工神经网络预测模型的研究进展,提出了农产品干燥过程数值模拟研究当前存在的问题,并对未来发展趋势进行了展望,以期为数值模拟技术在农产品干燥领域中的优化及应用提供参考。

China is a big agricultural country,with abundant varieties of agricultural products,and its output ranks among the top in the world.However,at present,the post-natal processing and storage links are weak,which often causes mildew of products due to delayed post-natal drying,or unreasonable drying parameters that affect the quality of agricultural products,resulting in huge economic losses.With the development of computer technology,the numerical simulation method has been widely used in the study of agricultural products drying,through the numerical simulation method to analyze the drying process of agricultural products,can effectively simulate the change of temperature and humidity in the drying process,save the drying process development time,and reduce the production cost.This article summarized the research progress of the empirical model,theoretical model,and artificial neural network prediction model,proposed the current problems in numerical simulation research of agricultural product drying process,and looked forward to future development trends to provide a reference for the optimization and application of numerical simulation technology in the field of agricultural product drying.