Abstract Volume translation (VT) has been widely utilized to improve the liquid density (or volume) prediction by cubic equation of state (CEOS). Previous VT-models do not fully exploit the potential of distance function and there is still a room for improving the prediction accuracy of saturated and single-phase liquid densities by CEOS. In this study, we propose an improved volume translated Soave-Redlich-Kwong (VT-SRK) EOS to achieve more accurate volumetric calculations for various pure substances. The overall average absolute percentage deviations of the saturated and single-phase liquid molar volumes yielded by this VT-SRK EOS for 56 compounds are 0.61 and 0.84, respectively; these two errors are obviously lower than the counterparts provided by Abudour et al.'s VT-Peng-Robinson EOS (2012). A fairly good generalization of the fluid-dependent VT parameters can be achieved for hydrocarbons. Moreover, we extend the proposed VT-SRK EOS to mixtures through conventional mixing rules, finding that the proposed VT-SRK EOS provides reliable volume predictions for the hydrocarbon mixtures examined in this study.

中文翻译：

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一种改进的体积平移 SRK 状态方程，致力于更准确地确定饱和和单相液体密度

摘要 体积平移（VT）已被广泛用于改进三次状态方程（CEOS）对液体密度（或体积）的预测。以前的 VT 模型没有充分利用距离函数的潜力，CEOS 对饱和和单相液体密度的预测精度仍有提高的空间。在这项研究中，我们提出了一种改进的体积转换 Soave-Redlich-Kwong (VT-SRK) EOS，以实现对各种纯物质的更准确的体积计算。该 VT-SRK EOS 对 56 种化合物产生的饱和和单相液体摩尔体积的总体平均绝对百分比偏差分别为 0.61 和 0.84；这两个误差明显低于 Abudour 等人的 VT-Peng-Robinson EOS (2012) 提供的对应误差。对于碳氢化合物，可以很好地概括与流体相关的 VT 参数。此外，我们通过传统的混合规则将提议的 VT-SRK EOS 扩展到混合物，发现提议的 VT-SRK EOS 为本研究中检查的碳氢化合物混合物提供了可靠的体积预测。