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An improved technique for determining transport parameters in cooling processes

机译:确定冷却过程中运输参数的改进技术

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In order to describe cooling processes, the thermal diffusivity a and the convective transfer coefficient h must be known. To this end, in general the analytical solution of the diffusion equation with only the first term is fitted to an experimental dataset of the temperature versus time, in which the temperature is measured in a known position. Despite this technique to describe well the major part of the cooling kinet-ics, this procedure contains a flaw for Fourier numbers less than 0.2 (lag factor). This article presents an algorithm based on optimal removal of experimental points to minimize errors in the determination of a and h. The algorithm was validated for several physical situations, and applied in cucumber cooling. The whole cooling kinetics was simulated with success (chi-square = 2.8756 x 10~(-3) and determination coef-ficient = 0.9991), including the region responsible by the lag factor.
机译:为了描述冷却过程,必须知道热扩散率a和对流传递系数h。为此,通常将仅具有第一项的扩散方程的解析解拟合到温度随时间变化的实验数据集中,其中在已知位置测量温度。尽管该技术很好地描述了冷却动力学的主要部分,但此过程仍存在傅立叶数小于0.2(滞后因数)的缺陷。本文提出了一种基于最佳去除实验点的算法,以最大程度地减少确定a和h的误差。该算法已针对多种物理情况进行了验证,并应用于黄瓜冷却。成功地模拟了整个冷却动力学(卡方= 2.8756 x 10〜(-3),测定系数= 0.9991),包括滞后因子所影响的区域。

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