比较Antoine参数来源,以在一系列温度范围内准确预测蒸汽压力
Puleng Moshele1, Mark R Stenzel2, Daniel Drolet3
1Division of Environmental Health Sciences, University of Minnesota School of Public Health, 420 Delaware St. SE, Minneapolis, MN 55455.
Annals of work exposures and health
|March 4, 2024
概括
准确的蒸汽压力数据对于评估工人暴露至关重要. 这项研究发现,三个Antoine方程参数源 (Hansen,Yaws,Custom) 提供了统计学上相似的温度预测,Yaws数据因其可用性和稳定性而被选择.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 职业健康和安全问题 职业健康和安全问题
- 物理化学 物理化学
背景情况:
- 准确的蒸汽压力数据对于工人暴露评估至关重要,但对于相关工艺温度的化学品,通常无法获得.
- 安东尼方程是一个广泛使用的模型来估计蒸汽压力作为温度的函数.
研究的目的:
- 为了比较使用来自三个不同的数据源的Antoine参数生成的蒸汽压力预测的准确性和偏差:汉森,Yaws和Custom.
- 确定最可靠的数据源,以估计不同温度下的化学蒸汽压力.
主要方法:
- 用汉森,Yaws和Custom数据集的Antoine方程参数预测了59种化学品的蒸汽压力.
- 预测的温度与CRC化学和物理手册中的参考数据集进行了比较.
- 进行了统计分析,以评估预测来源之间的差异和偏差.
主要成果:
- 根据汉森,Yaws和Custom数据源的Antoine参数预测的温度没有发现统计学上显著的差异.
- 这三个数据源都显示出在估计蒸汽压力方面具有潜在的实用性.
- Yaws数据集被选中用于SDM 2.0,因为它的可用性和强大性质.
结论:
- 使用汉森,Yaws或Custom源的参数,Antoine方程可以可靠地预测蒸汽压力估计的温度.
- 建议使用Yaws数据集,因为它在暴露评估建模中的可访问性和数据完整性方面的实用优势.
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