Abstract: | Data are presented to show that two correlations of viscosity–concentration data are useful representations for data over wide ranges of molecular weight and up to at least moderately high concentrations for both good and fair solvents. Low molecular weight polymer solutions (below the critical entanglement molecular weight Mc) generally have higher viscosities than predicted by the correlations. One correlation is ηsp/cη] versus k′η], where ηsp is specific viscosity, c is polymer concentration, η] is intrinsic viscosity, and k′ is the Huggins constant. A standard curve for good solvent systems has been defined up to k′η]c ≈? 3. It can also be used for fair solvents up to k′η]c ≈? 1.25· low estimates are obtained at higher values. A simpler and more useful correlation is ηR versus cη], where ηR is relative viscosity. Fair solvent viscosities can be predicted from the good solvent curve up to cη] ≈? 3, above which estimates are low. Poor solvent data can also be correlated as ηR versus cη] for molecular weights below 1 to 2 × 105. |