Editing Flory-Huggins theory
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The '''Flory-Huggins theory''' ( | The '''Flory-Huggins theory''' (perhaps chronologically speaking it should be known as the Huggins-Flory theory) for [[solutions]] of [[polymers]] was developed by [[Maurice L. Huggins ]] <ref>[http://dx.doi.org/10.1063/1.1750930 Maurice L. Huggins "Solutions of Long Chain Compounds", Journal of Chemical Physics '''9''' p. 440 (1941)]</ref> and [[Paul J. Flory]] <ref>[http://dx.doi.org/10.1063/1.1750971 Paul J. Flory "Thermodynamics of High Polymer Solutions", Journal of Chemical Physics '''9''' pp. 660-661 (1941)]</ref><ref>[http://dx.doi.org/10.1063/1.1723621 Paul J. Flory "Thermodynamics of High Polymer Solutions", Journal of Chemical Physics '''10''' pp. 51-61 (1942)]</ref>, following the work by Kurt H. Meyer <ref>[http://dx.doi.org/10.1002/hlca.194002301130 Kurt H. Meyer "Propriétés de polymères en solution XVI. Interprétation statistique des propriétés thermodynamiques de systèmes binaires liquides", Helvetica Chimica Acta '''23''' pp. pp. 1063-1070 (1940)]</ref>. The description can be easily generalized to the case of polymer mixtures. The Flory-Huggins theory defines the volume of a [[polymers |polymer system]] as a lattice which is divided into microscopic subspaces (called sites) of the same volume. In the case of polymer solutions, the solvent molecules are assumed to occupy single sites, while a polymer chain of a given type, <math>i</math>, occupies <math>n_i</math> sites. The repulsive forces in the system are modelled by requiring each lattice site to be occupied by only a single segment. Attractive interactions between non-bonded sites are included at the lattice neighbour level. Assuming random and ideal mixing, i.e. mixing volume <math>\Delta V_m = 0</math>, it is possible to obtain the well-known expression for the combinatorial [[entropy]] of mixing <math>\Delta S_m</math> per site of the Flory-Huggins theory for the general case of a mixture of two components, A (polymer or solvent) and polymer B (Eq. 10.1 of Ref. 3): | ||
:<math>\Delta S_m = -R \left[ \frac{\phi_A}{n_A} \ln \phi_A + \frac{\phi_B}{n_B} \ln \phi_B \right]</math> | :<math>\Delta S_m = -R \left[ \frac{\phi_A}{n_A} \ln \phi_A + \frac{\phi_B}{n_B} \ln \phi_B \right]</math> |