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Experimental and Computational Fluid Dynamics Validation of Correlations for Dry Pressure Drop in Trays without Downcomer
Chemical Engineering & Technology ( IF 1.8 ) Pub Date : 2020-01-31 , DOI: 10.1002/ceat.201900379 Michel Brondani 1, 2 , Diego Felipe Schlemmer 1 , João Henrique Cabral Wancura 1 , Flávio Dias Mayer 1 , Ronaldo Hoffmann 1 , Maria da Graça Rasteiro 2 , Nuno M. Oliveira 2 , António M. Gameiro Lopes 3
Chemical Engineering & Technology ( IF 1.8 ) Pub Date : 2020-01-31 , DOI: 10.1002/ceat.201900379 Michel Brondani 1, 2 , Diego Felipe Schlemmer 1 , João Henrique Cabral Wancura 1 , Flávio Dias Mayer 1 , Ronaldo Hoffmann 1 , Maria da Graça Rasteiro 2 , Nuno M. Oliveira 2 , António M. Gameiro Lopes 3
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The dry tray pressure drop (ΔPd) is a design parameter that provides preliminary information about the total pressure drop. This work aimed to assess correlations for ΔPd prediction for different types of trays without downcomer and to evaluate the effects of the free area ratio (φ) and the hole diameter (d) on ΔPd. Assessment was performed by comparing results of several correlations with those from an experimentally validated computational fluid dynamics simulation. The study shows that the correlations of Červenka and Kolář, Bennett, Agrawal and Cook, and Stichlmair and Mersmann predicted the dry pressure drop satisfactorily. The correlation of Bennett, Agrawal and Cook can be recommended for the prediction of ΔPd for a wide range of geometries and operation conditions. Also, φ has a higher influence on ΔPd than d.
中文翻译：
无降液管塔盘干压降相关性的实验和计算流体动力学验证
干托盘压降（ΔP d）是一个设计参数，可提供有关总压降的初步信息。这项工作旨在评估不带下导管的不同类型托盘的ΔP d预测的相关性，并评估自由面积比（φ）和孔直径（d）对ΔP d的影响。。通过将几种相关结果与经过实验验证的计算流体动力学模拟得到的结果进行比较，进行评估。研究表明，Červenka和Kolář，Bennett，Agrawal和Cook以及Stichlmair和Mersmann的相关性可以令人满意地预测干压降。可以建议使用Bennett，Agrawal和Cook的相关性来预测各种几何形状和运行条件下的ΔP d。而且，φ对ΔP d的影响大于d。
更新日期：2020-01-31
中文翻译：
无降液管塔盘干压降相关性的实验和计算流体动力学验证
干托盘压降（ΔP d）是一个设计参数，可提供有关总压降的初步信息。这项工作旨在评估不带下导管的不同类型托盘的ΔP d预测的相关性，并评估自由面积比（φ）和孔直径（d）对ΔP d的影响。。通过将几种相关结果与经过实验验证的计算流体动力学模拟得到的结果进行比较，进行评估。研究表明，Červenka和Kolář，Bennett，Agrawal和Cook以及Stichlmair和Mersmann的相关性可以令人满意地预测干压降。可以建议使用Bennett，Agrawal和Cook的相关性来预测各种几何形状和运行条件下的ΔP d。而且，φ对ΔP d的影响大于d。
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