基于物性链预测离子液体热导率

A two-grade model is developed to predict the thermal conductivity (k) of ionic liquids (ILs) based on the relationship of themophysical properties. In this model, k of ILs is associated with their three reference properties (reference density, reference sound velocity and reference k) separately. Model parameters are obtained through the collected database and the average relative deviation (ARD) is less than 4.67%. Then, we predict k of 20 ILs, whose ARD does not exceed 5.78%. Further comparison to the other three models are made, demonstrating that our model has a high accuracy and is easy to apply since only one of three reference property is needed.