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运用数值模拟和反演方法计算黄瓜的对流传热系数和热扩散率。

Calculation of the convective heat transfer coefficient and thermal diffusivity of cucumbers using numerical simulation and the inverse method.

机构信息

Department of Physics, Federal University of Campina Grande, Campina Grande, PB Brazil.

出版信息

J Food Sci Technol. 2014 Sep;51(9):1750-61. doi: 10.1007/s13197-012-0738-4. Epub 2012 May 18.

Abstract

Cooling of fruits and vegetables, immediately after the harvest, has been a widely used method for maximizing post-harvest life. In this paper, an optimization algorithm and a numerical solution are used to determine simultaneously the convective heat transfer coefficient, hH, and the thermal diffusivity, α, for an individual solid with cylindrical shape, using experimental data obtained during its cooling. To this end, the one-dimensional diffusion equation in cylindrical coordinates is discretized and numerically solved through the finite volume method, with a fully implicit formulation. This solution is coupled to an optimizer based on the inverse method, in which the chi-square referring to the fit of the numerical simulation to the experimental data is used as objective function. The optimizer coupled to the numerical solution was applied to experimental data relative to the cooling of a cucumber. The obtained results for α and hH were coherent with the values available in the literature. With the results obtained in the optimization process, the cooling kinetics of cucumbers was described in details.

摘要

果蔬收获后立即进行冷却,这是一种广泛应用的方法,可最大限度地延长采后寿命。本文采用优化算法和数值解,通过有限体积法对圆柱状单个固体的对流换热系数 hH 和热扩散系数 α 进行了同时确定,使用了在冷却过程中获得的实验数据。为此,在圆柱坐标系中对一维扩散方程进行离散化,并通过完全隐式格式的有限体积法进行数值求解。该解与基于反演方法的优化器耦合,其中,数值模拟与实验数据拟合的 χ 平方值用作目标函数。将与数值解耦合的优化器应用于与黄瓜冷却相关的实验数据。优化过程中得到的 α 和 hH 的结果与文献中的值一致。利用优化过程中的结果,详细描述了黄瓜的冷却动力学。

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