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Modelling of moisture migration during convective drying of pineapple slice considering non-isotropic shrinkage and variable transport properties

机译:考虑非各向同性收缩和可变运输性能的菠萝切片对流干燥过程中的水分迁移建模

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摘要

The present work aims to develop a 3-dimensional finite element (FE) model to analyze moisture migration during drying of pineapple ring considering moisture dependent diffusion coefficient (D) and mass transfer coefficient (h(m)) along with radial and longitudinal shrinkage. Pineapple rings were dried at 70 degrees C temperature and 0.6 m/s air velocity to study the moisture loss and shrinkage kinetics during drying. Thickness, outer radius and inner radius of hollow cylindrical pineapple slices were reduced by 79.3%, 32.2%, and 51.2%, respectively due to the occurrence of shrinkage during drying. Non-linear regression analysis showed the quadratic model to best fitted to the experimental moisture ratio data for explaining the shrinkage phenomenon in pineapple slice during drying. Shrinkage was accommodated into FE modelling using the arbitrary lagrange-eulerian method. Consideration of variable D showed better agreement with the experimental data than consideration of constant D, however constant and variable h(m) predicted similar results. Incorporation of shrinkage phenomena during modelling led to prediction of more accurate result showing 0.06% deviation from experimental curve, but neglecting the shrinkage resulted in a 17% deviation. Hence, model developed with consideration of shrinkage along with variable D and h(m) presented best fit with experimental drying curve. Developed model allowed the visualization of spatial moisture profile within the sample during drying, which would be useful for estimating the correct drying time, optimizing and designing of drying process.
机译:本作者旨在开发三维有限元(Fe)模型,以分析菠萝环的干燥过程中,考虑水分依赖性扩散系数(D)和传质系数(H(M))以及径向和纵向收缩。菠萝环在70℃温度下干燥,0.6米/升空气速度,以研究干燥过程中的水分损失和收缩动力学。由于干燥过程中的收缩发生,中空圆柱形菠萝切片的厚度,外半径和内半径分别降低了79.3%,32.2%和51.2%。非线性回归分析显示二次模型,以最能够在实验性水分比数据中解释菠萝切片中的收缩现象。使用任意拉格朗日欧拉米列方法可容纳收缩成FE型号。对变量D的考虑表现出与实验数据更好的同意,而不是对常数D的考虑,但是恒定和变量H(m)预测了类似的结果。在建模期间加入收缩现象导致预测更准确的结果,显示与实验曲线的偏差0.06%,但忽略收缩导致17%的偏差。因此,通过考虑收缩和可变D和H(M)而开发的模型呈现最佳拟合实验干燥曲线。开发的模型允许在干燥过程中允许样品内的空间湿度曲线的可视化,这对于估计正确的干燥时间,优化和设计干燥过程是有用的。

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