Diky Vladimir, Bazyleva Ala, Paulechka Eugene, Magee Joseph W, Martinez Vikina, Riccardi Demian, Kroenlein Kenneth
Applied Chemicals and Materials Division, National Institute of Standards and Technology, Boulder, Colorado 80305-3337, USA.
J Chem Thermodyn. 2019;133:208-222. doi: 10.1016/j.jct.2019.01.029.
High quality thermophysical property data are essential to many scientific and engineering applications. These data are produced at a high rate and are affected by a range of experimental and reporting error sources that often exceed stated uncertainties. As a result, critical evaluation is required to establish the limits of reliability in a quantified way. The present work describes reporting recommendations and property data validation methods developed and applied at the Thermodynamics Research Center at NIST through the use of the ThermoData Engine (TDE; SRD 103a/b) software. Examples are provided with an emphasis on various consistency checks, which may include the use of equations of state (EOS).
高质量的热物理性质数据对许多科学和工程应用至关重要。这些数据的产生速度很快，并且受到一系列实验和报告误差源的影响，这些误差源往往超过规定的不确定度。因此，需要进行严格评估，以定量方式确定可靠性的限度。本工作描述了美国国家标准与技术研究院（NIST）热力学研究中心通过使用热数据引擎（TDE；标准参考数据103a/b）软件所开发和应用的报告建议及性质数据验证方法。文中给出了一些示例，重点是各种一致性检查，其中可能包括使用状态方程（EOS）。
