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Numerical estimation of moisture content in spray dried juice powder

机译:喷雾干燥果汁粉中水分含量的数值估算

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摘要

The moisture contents of powders is an important parameter that affects the quality and commercial value of spray dried products. The utility of predicted moisture content values from two droplet drying models were compared with experimental data for spray dried pineapple juice, using the Ranz-Marshal and its modified variants for the heat and mass transfer correlations. The droplet Diffusion model, using the Zhifu correlation, gave estimates with errors of about 8 at 165 °C, 9 at 171 °C, 26 at 179 °C and 2 at 185 °C. The Ranz-Marshal correlation also gave comparable results with this model while results using the Downing and modified Ranz-Marshall correlations widely diverged. The Energy balance model predicted completely dried juice particles, and short drying times, in contrast to the experimental data. The small error sizes of the Diffusion model improves on the wide error sizes of an earlier process model, making is useful as a first approximation choice, for spray drier design and simulation, especially for juices under comparable operating conditions.
机译:粉末的水分含量是影响喷雾干燥产品的质量和商业价值的重要参数。使用Ranz-Marshal及其改进的变体进行传热和传质的相关性,将两个液滴干燥模型中预测的水分含量值的实用性与喷雾干燥的菠萝汁的实验数据进行了比较。使用Zhifu相关性的液滴扩散模型给出的估计误差在165°C下约为8,在171°C下约为9,在179°C下约为26,在185°C下约为2。 Ranz-Marshal相关性也给出了与该模型可比的结果,而使用Downing和改进的Ranz-Marshall相关性的结果却大相径庭。与实验数据相比,能量平衡模型预测出完全干燥的果汁颗粒和较短的干燥时间。扩散模型的小误差尺寸改善了较早工艺模型的大误差尺寸,对于喷雾干燥器的设计和模拟,尤其是在可比的工作条件下的果汁,该方法可用作首选近似选择。

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