Continuum model for the simulation of fiber spinning, with quiescent and flow-induced crystallization

Meerveld, Jan van; Hütter, Markus; Peters, Gwm Gerrit

doi:10.1016/j.jnnfm.2007.10.020

Cited by 47 publications

(31 citation statements)

References 82 publications

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“…Theoretically, the obtained statistical‐based models could be tested regarding the reported dynamic modeling of melt‐spinning process 34, 52 through a set of rate equations. Input and output values should be adjusted as to the material properties and the process conditions.…”

Section: Resultsmentioning

confidence: 99%

Factorial optimization of the effects of melt‐spinning conditions on biodegradable as‐spun aliphatic–aromatic copolyester fibers. III. Diameter, tensile properties, and thermal shrinkage

Younes

Fotheringham

2011

J of Applied Polymer Sci

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ABSTRACT:To model the melt-spinning process of biodegradable as-spun linear aliphatic-aromatic copolyester fibers, a fraction factorial experimental design and appropriate statistical analysis for the 32 screening trials involving five control parameters were used. Because of their central role in the production processes and end use textiles, it is important to simulate the mechanical and thermal shrinkage properties of AAC fibers. Concise statistical models of fiber behavior are based on factorial experimental design data. Process's data are collected, analyzed, and mathematical models created to predict the diameter, tenacity, elongation at break, modulus, and thermal shrinkage of the spun fiber in terms of random variables and their associated probability distributions. The theoretical regression models obtained form the main source code in the enhanced forecasting program, which presents the melt-spinning process of aromatic-aliphatic copolyester fibers. Factorial statistical approaches, based on over indicated region levels of meltspinning process parameters, are given in terms of assumptions and theory to produce biodegradable, environmentally friendly fibers for different applications.

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Section: Resultsmentioning

confidence: 99%

Factorial optimization of the effects of melt‐spinning conditions on biodegradable as‐spun aliphatic–aromatic copolyester fibers. III. Diameter, tensile properties, and thermal shrinkage

Younes

Fotheringham

2011

J of Applied Polymer Sci

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“…Table 2 contains the material data of polyester which are needed for the algorithm of the process model and Table 3 Papanastasiou et al [5] studied the influence of Nu 0 on the heat transfer and obtained good results with a value of 0.31. Van Meerveld et al [12] used values between 0.345 and 0.36. Denn [45] discussed the validity of the original value and stated that a correction of 20-30% would be appropriate.…”

Section: Rheological Properties Of Polyester For Fiber Spinningmentioning

confidence: 99%

“…Van Meerveld et al [12] also developed a model for the spinning of polyamide PA66 which is, with regard to the two phases, similar to the model of Doufas et al [10]. They use a set of rate equations for the crystallization proposed by Schneider et al [13] and introduce a term for the thermodynamic driving force.…”

Section: Introductionmentioning

confidence: 99%

Polyester fiber spinning analyzed with multimode Phan Thien-Tanner model

Dietz¹

2015

Journal of Non-Newtonian Fluid Mechanics

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“…The orientation dynamics of polymer strongly depend on the temperature, cooling rate and the application of a flow field [42]. When the take-up velocity is greater than that with which the filament is extruded, the filament diameter is decreased and as a result the drawn filament is called fiber [33].…”

Section: Spin-draw Ratio (Sdr)mentioning

confidence: 99%

Factorial Optimization of the Effects of Melt-Spinning Conditions on As-spun Aliphatic-Aromatic Copolyester Fibers I. Spin Draw Ratio, Overall Orientation and Drawability

Younes

Fotheringham

El‐Dessouky

et al. 2011

International Journal of Polymeric Materials

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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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Continuum model for the simulation of fiber spinning, with quiescent and flow-induced crystallization

Cited by 47 publications

References 82 publications

Factorial optimization of the effects of melt‐spinning conditions on biodegradable as‐spun aliphatic–aromatic copolyester fibers. III. Diameter, tensile properties, and thermal shrinkage

Factorial optimization of the effects of melt‐spinning conditions on biodegradable as‐spun aliphatic–aromatic copolyester fibers. III. Diameter, tensile properties, and thermal shrinkage

Polyester fiber spinning analyzed with multimode Phan Thien-Tanner model

Factorial Optimization of the Effects of Melt-Spinning Conditions on As-spun Aliphatic-Aromatic Copolyester Fibers I. Spin Draw Ratio, Overall Orientation and Drawability

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