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Inverse Approaches to Drying of Thin Bodies With Significant Shrinkage Effects

机译:具有明显收缩作用的薄体干燥的逆方法

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This paper deals with the application of inverse concepts to the drying of bodies that undergo changes in their dimensions. Simultaneous estimation is performed of moisture diffusivity, together with the thermal conductivity, heat capacity, density, and phase conversion factor of a drying body, as well as the heat and mass transfer coefficients and the relative humidity of drying air. This was accomplished by using only temperature measurements. A mathematical model of the drying process of shrinking bodies has been developed where the moisture content and temperature fields in the drying body are expressed by a system of two coupled partial differential equations. The shrinkage effect was incorporated through the experimentally obtained changes of the specific volume of the drying body in an experimental convective dryer. The proposed method was applied to the process of drying potatoes. For the estimation of the unknown parameters, the transient readings of a single temperature sensor located in the midplane of the potato slice, exposed to convective drying, have been used. The Levenberg-Marquardt method and a hybrid optimization method of minimization of the least-squares norm are used to solve the present parameter estimation problem. Analyses of the sensitivity coefficients and of the determinant of the information matrix are presented as well.
机译:本文探讨了逆概念在干燥尺寸发生变化的物体上的应用。同时进行湿气扩散率,干燥体的热导率,热容量,密度和相变系数,以及干燥空气的传热和传质系数以及相对湿度的同时估算。这仅通过使用温度测量来完成。已经建立了收缩体干燥过程的数学模型,其中干燥体中的水分含量和温度场由两个耦合的偏微分方程组表示。通过在实验对流干燥器中通过实验获得的干燥体比容的变化来引入收缩效果。该方法应用于马铃薯的干燥过程。为了估计未知参数,已使用位于马铃薯​​片中平面的单个温度传感器的瞬态读数,该温度传感器经过对流干燥。 Levenberg-Marquardt方法和最小二乘范数最小化的混合优化方法用于解决当前的参数估计问题。还介绍了灵敏度系数和信息矩阵行列式的分析。

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