This article presents a method which allows one to End the Hansen solubility parameters by means of data processing. In the first part, we present the thermodynamical principle of Hansen parameters, and then we explain the model used to find parameters from experimental data. We validate the method by studying the solubility parameters of CFC-12 (dichlorodifluoromethane), HFC-134a (1,1,1,2-tetrafluoroethane), neopentylglycol esters, trimethylolpropane eaters, dipentaerythritol eaters, and pentaerythritol esters. Then, the variation of Hansen parameters are studied as well as the relation between the miscibility temperature (the temperature at which a blend passes from the miscible state to the immiscible state) and the interaction distance. We establish the critical interaction distance of HFC-134a which determines the solubility limit and we study its variation with temperature.