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Determination of the molecular weight distribution of linear polymers by inversion of a blending law on complex viscosities
Authors:Frédéric Léonardi  Ahmed Allal  Gérard Marin
Affiliation:(1) Laboratoire de Physique des Matériaux Industriels Université de Pau et des Pays de l‘Adour E.S.A. – CNRS 5067 Av. de l‘Université– 64000 Pau, France E-mail: gerard.marin@univ-pau.fr, FR
Abstract:The method presented in this paper allows to calculate the molecular weight distribution (MWD) of linear homopolymer melts from the complex shear modulus data measured in a wide frequency domain. An empirical blending law on complex viscosities is first developed; as a consequence, the variations of the storage and loss modulus as a function of MWD are presented. This simulation demonstrates also the role of the shape of the MWD itself, and shows that one should not postulate a priori the shape of the MWD. An efficient numerical approach based on a Tikhonov regularization method with constraint is used to solve this ill-posed problem; the MWD is hence derived without any assumption on its shape. This method is first applied on simulated data to prove its numerical efficiency. Then the inversion method is applied on complex moduli data of various commercial polymers (polypropylene, polyethylene and polystyrene) and on an artificial mixture of polystyrene that have been presented in the literature. For amorphous polymers, the coupling of the terminal relaxation domains with the transition region at higher frequency leads to errors in the low molecular weight tail: one way to solve this problem is to cut off the experimental data at the high frequencies. This general method needs only a few physical parameters, namely the scaling law for the Newtonian viscosity η0=f(M w ) and the plateau modulus G N 0, and leads to reasonable results with respect to the simplicity of the viscoelastic model used. Received: 27 October 1997 Accepted: 24 February 1998
Keywords:Molecular weight  distribution  linear viscoelasticity  blending law on complex  viscosities  Tikhonov  regularization method  ill-posed problems
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