Decreasing the time required for accurate thermodynamic property measurements is extremely desirable for model development that can respond to the needs of science and industry within a short time frame. Here, we demonstrate the application of optimal experimental design to measurements of thermodynamic properties. The technique is explored using the fitting of a Schilling-type equation from published \((p, \rho , T)\)-measurements of ethylene glycol and propylene glycol. The analysis shows that a fixed-exponent fit using (p, T)-measurements along the five most informative isotherms produces models of relative density errors comparable to those obtained using the data along all investigated isotherms, i.e., eight or nine. It is also argued that a calculation of optimal isotherms prior to the measurement series can further increase the precision at no additional experimental effort.

对于可以在短时间内响应科学和工业需求的模型开发，非常需要减少精确的热力学性质测量所需的时间。在这里，我们演示了最佳实验设计在热力学性质测量中的应用。使用已发表的乙二醇和丙二醇的（（p，\ rho，T）\） -测量的Schilling型方程的拟合来探索该技术。分析表明，使用（p，  T）-沿着五个信息最丰富的等温线进行测量，可得出相对密度误差模型，该模型与使用沿所有调查的等温线（即八个或九个等温线）的数据获得的相对密度误差模型相当。也有人认为，在不进行额外实验工作的情况下，在测量系列之前计算最佳等温线可以进一步提高精度。