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作 者:吴玉柱 付大平[2] 尹慧敏[2] 许秀颖 赵城彬 刘景圣 吴文福[3] Wu Yuzhu;Fu Daping;Yin Huimin;Xu Xiuying;Zhao Chengbin;Liu Jingsheng;Wu Wenfu(College of Food Science and Engineering,National Engineering Laboratory for Wheat and Corn Deep Processing,Jilin Agricultural University,Changchun 130118;College of engineering and technology,Jilin Agricultural University,Changchun 130118;College of Biological and Agricultural Engineering,Jilin University,Changchun 130022)
机构地区:[1]吉林农业大学食品科学与工程学院,小麦和玉米深加工国家工程实验室,长春130118 [2]吉林农业大学工程技术学院,长春130118 [3]吉林大学生物与农业工程学院,长春130022
出 处:《中国粮油学报》2020年第8期114-120,共7页Journal of the Chinese Cereals and Oils Association
基 金:吉林省教育厅“十三五”科学技术项目(JJKH 20190909KJ);现代农业产业技术体系(CARS-13);全国行业领军人才资助项目(LL2018201)。
摘 要:为了将积温控制应用在粮食干燥中,本研究以多参数可控的玉米热风薄层干燥实验为基础,探索了在不同的热风温度、热风风速、相对湿度和初始水分等参数正交组合条件下的干燥特性,当湿度、水分、风速一定的情况下,干燥积温随热风温度呈线性递减趋势,温度增加1℃,积温减少5℃·h;温度、水分、风速一定的情况下,干燥积温随湿度呈非线性递增趋势,湿度增加1%,积温平均增加3.75℃·h,60%以下递增不显著;温度、湿度、风速一定的情况下,干燥积温随初始水分呈非线性递增趋势,初始水分在20%~27%之间每增加1%,积温平均增加6.43℃·h,28%以下积温递增不显著;当温度、湿度、水分一定的情况下,干燥积温随风速呈非线性递减趋势,风速在0.4%~0.8%之间每增加0.1 m/s,干燥积温平均递减75℃·h。利用多元二次回归模型建立了积温数学模型,回归方程决定系数R^2=0.97。在500 T/D连续玉米干燥机测控实验中,干燥模型能很好的控制粮食出机含水率,应用表明干燥积温可用于粮食干燥过程的预测和控制。In order to find out the control method of accumulated temperature in grain drying,the drying characteristics were studied under the orthogonal combination conditions of different air temperatures,air velocities,relative humidities and other parameters based on the multi-parameter controllable corn hot-air and thin-layer drying experiment.When the humidity,moisture and air velocity were certain,the accumulated temperature decreased linearly with the temperature of hot air,the temperature increased by 1℃,and the accumulated temperature decreased by 5℃·h;when the temperature,moisture and air velocity were certain,the accumulated temperature increased nonlinearly with the humidity,the humidity increased by 1%,and the accumulated temperature increased by an average of about 3.75℃·h,and the increase was not significant lower than 60%.When the temperature,humidity and air velocity were certain,the accumulated temperature increased nonlinearly with the initial moisture,the initial moisture increased by 1%every 20%~27%,the accumulated temperature increased by an average of about 6.43℃·h,and the accumulated temperature was not significant lower than 28%;when the temperature,humidity and moisture content are certain,the accumulated temperature decreased nonlinearly with air velocity.Air velocity increased by 0.1 m/s between the 0.4%~0.8%,the accumulated temperature decreased by an average of about 6.43℃·h.The mathematical model of accumulated temperature was established by using the multivariate two regression model,and the determination coefficient of regression equation was R^2=0.97.In the 500 T/D continuous corn dryer measurement and control test,the drying model could well control the outlet moisture content of the grain.The application indiciated that the drying accumulated temperature can be used to predict and control the grain drying process.
分 类 号:TS201.2[轻工技术与工程—食品科学]
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