填料塔性能预测建模的一个关键参数是传质速率。初步筛选表明，Onda传质关联式是最有前途的预测模型。本文描述的研究试图量化Onda相关性的预期准确性，该相关性基于一个测试数据库，该数据库是使用10篇文献报告的中试规模调查建立的，涉及11种不同的挥发性有机化学品和4种基本包装类型。相关性预测的传输速率常数的平均标准偏差为17%（437个数据点），对应于基于90%置信限的+30%设计精度值。包括34个参考文献、表格、图表。

A crucial parameter for predictive modeling of the performance of packed columns is the mass transfer rate. An initial screening identified the Onda mass transfer correlation as the most promising predictive model available. The study described here sought to quantify the accuracy that can be expected with the Onda correlation, based on a test data base that was established using 10 literaturereported, pilot-scale investigations and that involved 11 different volatile organic chemicals and 4 basic packing types. The correlation predicted the transfer rate constants within an average standard deviation of 17 percent (437 data points), corresponding to a +30 percent accuracy value for design purposes based on 90 percent confidence limits. Includes 34 references, tables, figures.