蒸气压和温度关系的参数拟合

Parameter Regression in the Mathematical Relation of Vapor Pressure and Temperature

以乙醇为例利用非线性拟合技术和文献报道的实验数据,探讨了纯物质蒸气压和温度关系及其参数的拟合问题.从拟合的残差平方和和误差的统计分布规律考虑,基于蒸发焓与温度关系(Clapeyron-Clausius方程)的多参数模型明显优于常用的二参数模型和Antoine方程.

The relation of vapor pressure and temperature of pure substance and its parameter estimation was discussed by taking advantage of non-linear regression method and reported experimental data. It was found that the multi-parameter model describing the relation of vapor enthalpy and temperature (Clapeyron-Clausius equation) is obviously superior to the commonly used two parameters model and the Antoine equation in term of residual square sum and statistic distribution rule of error.