西洋参分段式热风干燥动力学模型构建
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国家重点研发计划资助项目(2018YFD0700200);北京市高水平创新团队建设计划项目(IDHT20170507);长城学者培养计划(CIT&TCD20180313)


Construction of staged hot-air drying dynamic model for American ginseng
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    摘要:

    针对直接将干燥时间带入干燥动力学模型无法准确得到分段式干燥各干燥阶段水分比的问题,提出了一种适用于分段式干燥的干燥动力学模型计算方法,可用于分析分段式干燥过程中水分比变化规律。对西洋参进行了干燥试验研究并对试验结果进行了非线性拟合,表明Modified Page模型适用于西洋参热风干燥的干燥动力学;通过对干燥条件和干燥常数的线性回归分析得到了偏回归系数,基于该偏回归系数对西洋参分段式干燥过程进行分析,得到了西洋参分段式热风干燥中各段的干燥动力学模型。利用所提出的计算方法对西洋参分段式干燥过程中水分比变化情况进行了计算,并将计算结果与西洋参分段式热风干燥试验结果进行了对比分析,发现计算结果与试验结果最大相对误差为7.44%,平均相对误差仅为1.78%。表明所提出的分段式干燥动力学模型计算方法可用于分析西洋参干燥过程中的水分比变化。

    Abstract:

    American ginseng is a perennial herb of the genus ginseng. Its rhizome can be used as medicine, and it is a traditional and precious Chinese medicinal material. In addition, it has also been favored as a health product. Research indicates that the rhizomes, leaves, flowers and fruits of American ginseng are rich in biologically active constituents, including ginsenoside, polysaccharide, various amino acids, vitamins, volatile oil, minerals and other chemical components, which are conducive to anti-aging and enhance human immunity. Hot air drying is a key step for the processing of American ginseng, which is divided into two categories: constant condition drying and stages-varied drying. Among the two methods, the stages-varied drying process is widely used in drying production, which contains multiple drying stages and different drying conditions at each stage. The drying characteristics of the materials are fully considered in the condition setting of stages-varied drying, which is conducive to improve the drying quality and save energy in the drying process. The drying kinetic model can reveal the change rule of moisture ratio of materials and provide scientific basis for the development of drying processes. Under the condition of constant temperature drying, the accurate moisture content of materials can be obtained by directly considering the drying parameters in the existing dynamic model of hot air drying. However, since the drying conditions are different at each stage of stages-varied drying, the drying constants are different at each stage in the drying model. In traditional studies, the moisture ratio at each drying stage cannot be accurately obtained if the drying time of stages-varied drying is directly taken into account in the drying kinetics model. To solve this problem, a calculation method of drying kinetics model for the stage-varied drying was proposed, which can accurately analyze the variation of moisture ratio during the stages-varied drying process. In order to establish the method, the drying experiment of American ginseng was carried out and the experimental results were fitted. The results showed that the Modified Page model was the best drying kinetic model for the hot-air drying of American ginseng. The partial regression coefficient was obtained by linear regression analysis of drying conditions and drying constants. Based on the partial regression results, the stage-varied drying process of American ginseng was analyzed and the drying kinetics model for each stage of American ginseng stages-varied drying was obtained. By using the proposed calculation method, the change of moisture ratio in the stages-varied drying process of American ginseng was calculated and compared with the results of the American ginseng stages-varied hot-air drying experiment. It was found that the maximum relative error between the calculation results and the experimental results was 7.44%, the average relative error was only 1.78%. The results indicate that the proposed stages-varied drying kinetic model calculation method can be used to analyze the change of the moisture ratio in the drying process of agricultural products.

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吴小华,马渊博,宁旭丹,王鹏,张振涛.西洋参分段式热风干燥动力学模型构建[J].农业工程学报,2020,36(5):318-324. DOI:10.11975/j. issn.1002-6819.2020.05.037

Wu Xiaohua, Ma Yuanbo, Ning Xudan, Wang Peng, Zhang Zhentao. Construction of staged hot-air drying dynamic model for American ginseng[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE),2020,36(5):318-324. DOI:10.11975/j. issn.1002-6819.2020.05.037

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  • 收稿日期:2019-11-01
  • 最后修改日期:2020-02-20
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  • 在线发布日期: 2020-03-24
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