ABSTRACT:The modeling of the relationship between the extrusion temperature profile and the polymer grade as well as the overall orientation of as-spun aliphatic-aromatic copolyester (AAC) fibers has been proposed. Depending on rheological results, AAC fibers were spun. In terms of the extrusion temperature profile and polymer grade, an appropriate statistical analysis of the optical anisotropy of the as-spun fibers was carried out. For measuring the fiber birefringence (optical anisotropy), an interferometric technique was employed. The interest of factorial design is in the restricted numbers of runs, 16 runs for a factorial design at 2 levels with 4 factors, and in the description of rheological mechanisms through mathematical interactions. The results obtained from the melt flow indexer give an explanation for the character of rheological properties and surface shape at different temperatures and loads at which recent analysis was performed. The overall orientation of the spun filaments has been modeled. The model allows a fast simulation to describe the behavior of factors-response relationship.
By using factorial experimental design, a range of crystallographic orders for as-spun linear aliphatic-aromatic copolyester fibers have been characterized with the aid of wide angle X-ray diffraction measurements. Full-Width Half-Maximum of an X-ray scattering profile (FWHM) has been quantitatively assessed as responses to polymer grades denoted by melt flow index (MFI) and to extrusion temperature zones in the extrusion equipment used to produce the as-spun fibers. With the advantages of the factorial experimental design in the development of fiber process technology, the enhanced statistical approach specifies the direction of change of the polymer's melt flow index and extrusion temperature profile for increasing or reducing crystallographic order. The produced as-spun aliphatic aromatic copolyester fiber is an environmentally-friendly attractive, alternative to conventional chemical fibers for different applications.
According to our previous studies [1,2], the optimum melting conditions have been achieved and lower melt flow index grade has been utilized in this work. In order to characterize the melt-spun AAC fibers, spin-draw ratio, optical birefringence and drawability were measured. The statistical optimization of fiber properties helps to produce the most satisfactory properties in the final fibers as an environmentally friendly attractive alternative to commercial chemical fibers. The importance of this model is in controlling the production process to optimize and enhance fiber properties, which may improve the quality and cost of biodegradable fibers.
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