Recommended Correlations for the Surface Tension of Ethers.

This article focuses on compiling, analyzing, and correlating surface tension data for 82 ethers across wide temperature ranges. A total of 2,122 data points were carefully selected from various databases, books, and literature sources, then fitted using the Guggenheim–Katayama correlation model with 2, 4, or 6 adjustable parameters to represent surface tension as a function of temperature. Ethers were classified by data availability and quality into codes ranging from A (excellent) to E (poor), plus a special code S for fluids mostly represented by DIPPR predictions using Sugden's method. The proposed correlations generally achieve mean absolute percentage deviations below 2.6% and are comparable in accuracy to models for other fluid families; however, some fluids exhibit significant discrepancies among source data, limiting correlation reliability and indicating a need for further experimental measurements. These correlations are intended for use within the specified temperature ranges and could be incorporated into thermophysical property databases and software such as REFPROP and CoolProp.