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Modeling drying kinetics of Jacaranda mimosifolia seeds with variable effective diffusivity via diffusion model
Biosystems Engineering ( IF 4.4 ) Pub Date : 2021-03-30 , DOI: 10.1016/j.biosystemseng.2021.03.008
Marcos P. Felizardo , Giovanni R.F. Merlo , Gustavo D. Maia

Jacaranda mimosifolia D. Don, a tree widely used for afforestation, has been studied for different applications due to the composition of its extracts. The drying kinetics of J. mimosifolia seeds in a thin layer and its process were modelled using an analytical solution of diffusion model, first considering the parameter Effective Moisture Diffusivity (EMD) to be constant. For variable EMD, a sequential and partial adjustment technique using a classic analytical solution was proposed. Thin layer drying kinetics were conducted at temperatures of 40 °C and 50 °C. When EMD was treated as a constant parameter, adjustments showed values of R2 ≥ 0.976 and χ2 ≤ 1.60 × 10−3, but when it was treated as a variable parameter, values of R2 ≥ 0.998 and χ2 ≤ 1.49 × 10−4 were found showing it to be more accurate. The proposed sequential fitting method showed good results, improving the understanding of diffusive mass transfer mechanisms. The technique show promise for applications in process control and product quality, in addition to dryer sizing and design.



中文翻译:

有效扩散系数可变的蓝花car花种子干燥动力学的扩散模型

由于其提取物的组成,已对广泛用于绿化的Jacaranda mimosifolia D. Don进行了研究。利用扩散模型的解析解决方案,模拟了薄种子种子的干燥动力学及其过程,首先考虑到有效水分扩散率(EMD)参数是恒定的。对于可变EMD,提出了一种使用经典分析解决方案的顺序和部分调整技术。薄层干燥动力学在40℃和50℃的温度下进行。当EMD被作为常数参数进行处理,调整显示的R值2  ≥0.976和χ 2  ≤1.60×10 -3,但是当它被作为变量参数的处理中,R的值2  ≥0.998和χ 2  ≤1.49×10 -4,发现表示它是更精确的。所提出的顺序拟合方法显示出良好的结果,增进了对扩散传质机理的理解。除干燥机的尺寸和设计外,该技术还显示出在过程控制和产品质量方面的应用前景。

更新日期:2021-03-30
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