SIMULTANEOUS-OPTIMIZATION AS A METHOD TO ESTABLISH GENERALIZED FUNCTIONAL FORMS FOR EMPIRICAL EQUATIONS OF STATE

A new algorithm for the optimization of functional forms of empirical equations of state is presented which considers data sets of different substances simultaneously In this way, functional forms for empirical equations of state can be developed which yield, on average, the best representation of the thermodynamic properties of all substances with in larger groups of substances (e.g., ''nonpolar'' and ''polar'' subst ances). The new algorithm is being used to develop a new class of empi rical equations of stale which meet typical technical requirements on the accuracy of thermodynamic properties with only about 10 fittable c oefficients. The first results for nonpolar fluids are reported.