颜建春, 谢焕雄, 胡志超, 魏 海, 游兆延, 徐弘博. 固定床上下换向通风小麦干燥模拟与工艺优化[J]. 农业工程学报, 2015, 31(22): 292-300. DOI: 10.11975/j.issn.1002-6819.2015.22.040
    引用本文: 颜建春, 谢焕雄, 胡志超, 魏 海, 游兆延, 徐弘博. 固定床上下换向通风小麦干燥模拟与工艺优化[J]. 农业工程学报, 2015, 31(22): 292-300. DOI: 10.11975/j.issn.1002-6819.2015.22.040
    Yan Jianchun, Xie Huanxiong, Hu Zhichao, Wei Hai, You Zhaoyan, Xue Hongbo. Simulation and process optimization of upward and downward reversing ventilating drying by fixed bed[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2015, 31(22): 292-300. DOI: 10.11975/j.issn.1002-6819.2015.22.040
    Citation: Yan Jianchun, Xie Huanxiong, Hu Zhichao, Wei Hai, You Zhaoyan, Xue Hongbo. Simulation and process optimization of upward and downward reversing ventilating drying by fixed bed[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2015, 31(22): 292-300. DOI: 10.11975/j.issn.1002-6819.2015.22.040

    固定床上下换向通风小麦干燥模拟与工艺优化

    Simulation and process optimization of upward and downward reversing ventilating drying by fixed bed

    • 摘要: 为了研究固定床上下换向通风干燥机理,确定合理烘干工艺参数,根据通风加热干燥过程中小麦和介质空气之间热质传递关系,采用经典PDE模型为理论基础,建立了适用于小麦固定床换向通风干燥计算机模拟的离散化模型。此模型可计算出小麦实时干燥状态、批次小麦干燥耗时、能耗经济成本等,并能依此推算出最优作业参数。经实际验证,模型模拟计算结果与试验结果基本相符,整床层小麦平均含水率模拟值和试验值的相关系数r达0.995,模型模拟可用于不同环境温度和相对湿度下的最优通风温度和风量分析。论文分析了换向通风干燥过程床层小麦含水率和温度变化规律;根据小麦收获时天气状况,选择环境温度20~35℃,环境相对湿度20%~85%范围,以批次烘干单位质量湿小麦能耗成本最低为优化判据,确定通风温度、风量及对应单位质量小麦烘干能耗成本,为实际小麦烘干工艺参数设定提供参考。

       

      Abstract: Abstract: In recent years, with the rapid development of harvest mechanization in China, the whole level of wheat harvest mechanization has been more than 90%. The current sun-drying facilities in Chinese rural areas are far from being able to meet the requirements of post-harvest drying of wet wheat. Mechanical drying is gradually considered to reduce post-harvest losses of crops in Chinese rural areas. As an economical and practical grain dryer, bin-ventilation dryer is considerably fitting for Chinese rural production practice. However, such devices are always without recommended work parameters for different crops under different ambient conditions and different initial moisture contents of material, so a large sum of energy is wasted in drying process. In order to obtain the best work parameters for a self-developed bin-ventilation dryer whose ventilation direction could be changed by manual operation, a set of partial differential equation models for wheat drying of fixed bed were developed, which reflected the relationships of heat and mass transfer between material and air during the drying process. On this basis, for the unique characteristics of upward and downward reversing ventilating, the partial differential equation models were discretized by forward finite difference method. Besides, the simulation program of upward and downward reversing ventilating drying of fixed-bed wheat was written by software. Through the simulation program, real-time drying status of wheat, drying time consumption and economic cost could be calculated by inputting ambient temperature, ambient relative humidity, air temperature, air volume, and initial moisture of wheat. Then the optimal operating parameters, which caused the lowest economic cost, would be obtained under different ambient conditions and initial moistures of wheat by further analysis and comparison. In order to verify the accuracy of simulation results, experimental studies of post-harvest wheat drying were performed with the self-developed 5H-2.0A box-typed static bed reversing ventilation dryer, which involved in testing and analysis of the average moisture distribution of materials in the thickness direction of wheat bed and the energy dissipation. The wheat dry bed was 40 cm in depth, with an initial average moisture content of 19.2% (wet basis). The air temperature and volume were set as 40℃ and 625 m3/(m2·h) respectively, and the ambient average temperature and relative humidity were 26.4℃ and 62.3% respectively during the experiment. The area of drying region on horizontal plane was evenly divided into 9 units for testing moisture content of the wheat dry bed, and the dry bed in 40 cm deep on vertical plane was evenly divided into upper, middle and bottom layer. It was concluded that the partial differential equation models could be used to simulate the actual drying process of wheat reliably. The model simulation results were in consistent with the experimental results, and the correlation coefficient of average moisture content for the whole wheat bed between test value and analog value was 0.995, among which correlation coefficients for the upper, middle and bottom layer were 0.994, 0.973 and 0.998, respectively. Based on this, the change rule and mechanism of moisture and temperature distribution on wheat bed during reversing ventilating drying were analyzed. Finally, when the ambient temperature ranged from 20 to 35℃, the ambient relative humidity varied from 20% to 85%, and the average initial moisture content was 16%, 18% and 20%, respectively, the best ventilation temperature and volume, which caused the lowest cost of energy consumption, were analyzed and then determined by comparing the cost of energy consumption at different air temperature (from 40 to 50℃) and air volume (from 500 to 1000 m3/(m2·h)).

       

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