A methodology is described to predict PET spun fiber properties and their variability, both of which are critical for satisfactory spinning operations. The approach uses the freezeline stress distribution obtained from a computer simulation of multifilament melt spinning of PET fibers along with the relevant information regarding the spinneret geometry and sampling procedures to determine the most probable sample distributions and corresponding values of freezeline stress and coefficient of variation. Available correlations can then be used to predict a priori the most likely ranges of spun fiber properties and their variability for a given set of process conditions.
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