Simulation of melt spinning including flow-induced crystallization. Part III. Quantitative comparisons with PET spinline data

The mathematical model for melt spinning of Doufas et al. [Doufas, A. K. et al., J. Rheol. 43, 85-109(1999); J. Non-Newtonian Fluid. Mech. 92, 27-66 ( 2000); 92, 81-103 (2000)] coupling the polymer microstructure (molecular or ientation, chain extension, and crystallinity) with the macroscopic velocit y/stress and temperature fields is tested against low- and high-speed spinl ine experimental data of PET melts. The model includes the combined effects of flow-induced crystallization (FIC), viscoelasticity. filament cooling, air drag, inertia, surface tension, and gravity and simulates melt spinning from the spinneret down to the take-up roll device (below the freeze point ). As is the case with nylon systems, model fits and predictions are shown to be in very good quantitative agreement with spinline data fur the fiber velocity, diameter, and temperature fields at both low- and high-speed cond itions, and, with flow birefringence data available for high speeds. Our mo del captures the necking phenomenon for PET quantitatively and the associat ed extensional softening which is shown to be related to nonlinear viscoela stic effects and not to the release of latent heat of crystallization. Alth ough crystallization is quite slow under low-speed spinning conditions, the model captures the occurrence of the freeze point naturally, and is thus a significant improvement over existing melt spinning models that enforce th e freeze point at the glass transition temperature. In this article we demo nstrate the robustness of our microstructural FIC model to melt spinning of quite slow crystallizers in the quiescent state, while the robustness for faster crystallizers was shown previously [Doufas, A. K. er al., J. Non-New tonian Fluid. Mech. 92, 27-66 (2000); 92, 81-103 (2000)]. (C) 2001 The Soci ety of Rheology.