【摘要】 在现有12种常用的种子干燥经验与半经验模型基础上,结合白菜种子热泵干燥数据,按模型中是否考虑干燥空气温度与相对湿度影响进行了4种不同情况的模型研究,以R2、ERMS、χ2、EMD 4种统计指标为标准进行了不同模型的比较与分析。结果表明,同时考虑干燥空气温度和相对湿度影响的模型具有更高的精度,尤其是改进Henderson and Pabis模型、Midilli et al模型和Two-term exponential模型。更多还原

【Abstract】 Twelve kinds of semi-empirical and empirical mathematical drying models were analyzed.Using experimental data of the heat pump cabbage seeds drying from the finding references,the twelve kinds of drying models have been studied according to the considerations or no considerations of dry air’s temperature and relative humidity.Four statistical indexes including coefficient of determination R2,root mean square error ERMS,reduced mean square of the deviation χ2,mean relative percent deviation EMD,have been used as the criterion for selection and analysis of different models.Results showed that after considering influences of both temperature and humidity of dry air,most of the twelve models have higher R2,lower χ2,ERMS and EMD.The models of modified Henderson and Pabis,Midilli et al and Two-term exponential are more accurate than others.更多还原