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Simulating industrial Spray-Drying Operations Using a Reaction Engineering Approach and a Modified Desorption Method

机译:使用反应工程方法和改进的解吸方法模拟工业喷雾干燥操作

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摘要

A predictive tool using a thermodynamic approach has recently been developed to determine several important gas-feed parameters for industrial spray-drying processes. In this approach, a desorption behavior of materials was evaluated and the behavior was linked with overall heat and mass balances over the dryer. Using the desorption behavior of materials and the overall heat and mass balances, a spray-drying software SD~2P~R was designed at the Institut National de la Recherche Agronomique (INRA) in France. The SD~2P~R software allows the prediction of optimal inlet drying air temperatures with acceptable accuracy (95-99% accuracy) for spray drying of dairy products. In order to predict detailed quality parameters and stickiness behavior of a product during processing, the reaction engineering approach (REA) was combined with a modified desorption method. A traditional experimental setup is replaced with a new setup, which is described in this article. Drying kinetics parameters were predicted using this new setup. Important gas-feed parameters were predicted using the 1D simulation-based software and compared with SD~2P~R predictions and are reported here.
机译:最近已经开发出一种使用热力学方法的预测工具,以确定工业喷雾干燥工艺的几个重要的气体进料参数。在这种方法中,评估了材料的解吸行为,并将该行为与干燥机上的总体热量和质量平衡联系在一起。利用材料的解吸性能以及整体的热量和质量平衡,在法国国家农林科学研究所(INRA)设计了喷雾干燥软件SD〜2P〜R。 SD〜2P〜R软件可以以可接受的精度(95-99%精度)预测乳制品喷雾干燥的最佳进口干燥空气温度。为了预测产品在加工过程中的详细质量参数和粘性行为,将反应工程方法(REA)与改进的解吸方法结合使用。本文将介绍用新的设置替换传统的实验设置。使用这种新设置可以预测干燥动力学参数。重要的供气参数已使用基于1D模拟的软件进行了预测,并与SD〜2P〜R的预测结果进行了比较,并在此处进行了报告。

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