Simulation of melt spinning including flow-induced crystallization

Doufas, Antonios K.; McHugh, A. J.; Miller, C.; Immaneni, A.

doi:10.1016/s0377-0257(00)00089-6

Cited by 108 publications

(128 citation statements)

References 13 publications

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“…Duplay et al [31] showed that the growth rate increased during shear and correlated with molecular weight. The largest deviation (ten times higher than in quiescent conditions) was found for a high molecular weight with a broad molecular weight distribution (M w = 375 kg/mol [13] FB; D four roll mill HDPE Doufas et al [55] PB melt spinning PA Duplay et al [31] OM fiber pull out iPP Göschel et al [56] WAXS contraction cell iPP Jerschow and Janeschitz-Kriegl [26,27] PB; TEM; OM slit flow cell iPP Kumaraswamy et al [57] PB; OM slit flow cell iPP Kumaraswamy et al [30] WAXS; TEM; OM slit flow cell iPP Liedauer et al [25] PB; TEM; OM slit flow cell iPP Mackley et al [24] WAXS; FB MPR HDPE Masubuchi et al [58] SAOS/DTA SFTR iPP Monasse [28] OM fiber pull out iPP Monasse [59] OM parallel plate LMDPE Pogodina et al [60] SAOS; DSC cone plate rheometry iPP Ryan et al [61] WAXS + SAXS melt spinning iPP; PET; HDPE Samon et al [4] WAXS + SAXS melt spinning PB1 Samon et al [62] WAXS + SAXS melt spinning HDPE; PVDF Schultz et al [3] WAXS + SAXS melt spinning HDPE; PVDF; PA6 Somani et al [63] SAXS; TEM parallel plate iPP Tribout et al [23] OM parallel plate; fiber pull out EPBC Vleeshouwers and Meijer [29] SAOS cone plate rheometry iPP and MWD = 3.2). Also Tribout et al [23] showed a shear dependent growth rate.…”

Section: Measurement Of Flow-induced Crystallizationmentioning

confidence: 95%

Stress Induced Crystallization in Elongational Flow

Swartjes

Peters

Rastogi

et al. 2003

International Polymer Processing

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Stress-induced crystallization is studied in an extensional flow device (a cross-slot flow cell) for an isotactic Polypropylene (iPP) by measuring the micro-structure that develops after flow. Birefringence and Wide Angle X-ray experiments were performed. The birefringence experiments with flow below the melting temperature showed the occurrence of a fiber-like structure around the outflow centerline and, later in time, of 'streamlines'. The latter are explained by the influence of shear gradients close to the optical windows. The WAXS experiments also showed the fiber-like structure around the outflow centerline, having orientations in the (110), (040) and (130) reflections, with a width of about 80 lm. This dominance of the elongational flow around the stagnation line could not be observed in experiments with flow above and subsequent crystallization below the melting temperature. Structure development in this cell was numerically predicted using the Leonov and the extended Pompom (XPP) model. The oriented structures can be predicted. Moreover, process conditions are found with less influence of the (unwanted) shear gradients. Finally, it was concluded that the strain hardening behavior in the Leonov model over-estimates the first component of the Finger tensor, and thus the number of flow-induced nuclei. Therefore it is recommended to use the extended Pompom model as a more realistic basis for a quantitative flow-induced crystallization model. IPP_ipp1719 -2.4.03/druckhaus köthen FIBER AND FILM Intern. Polymer Processing XVIII (2003) 1  Hanser Publishers, Munich 53

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Section: Measurement Of Flow-induced Crystallizationmentioning

confidence: 95%

Stress Induced Crystallization in Elongational Flow

Swartjes

Peters

Rastogi

et al. 2003

International Polymer Processing

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“…For example, the expression adopted by Zuidema et al (2001), using their parameter values, predicts an unrealistic value (too low) of the hardening for a fully crystallized polymer (for n g = 1, C (Zuidema et al) is of the order of tens). Doufas et al (2000), used the same formula, but with their choice of parameters, for n g = 1, C (Doufas et al) is very large, of the order of 10 26 .…”

Section: Empirical Modelsmentioning

confidence: 99%

Crystallinity and Linear Rheological Properties of Polymers

Lamberti

Peters

Titomanlio

2007

International Polymer Processing

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The crystallization of a polymer melt, taking place during transformation processes, has a great impact on the process itself, mainly because it causes a large increase in the viscosity (hardening). Knowledge of the hardening kinetics is important for modeling and controlling the transformation processes. In this work, first an overview is given of the experimental and modeling work on the hardening of crystallizing polymers. Next, we present isothermal crystallization experiments using differential scanning calorimetry (DSC) and rotational rheometry to measure the dynamic viscosity. The evolution of the relative crystallinity and normalized complex viscosity are correlated by a novel technique which allows simultaneous analysis of several runs, even if they are not carried out at same temperatures; the main requirement with the traditional technique. The technique, described in detail in this paper, provides an experimental relationship between the crystallinity and the hardening, i. e. the increase in the viscosity. Moreover, by measuring the dynamic viscosity at different frequencies, surprisingly, a master curve is obtained which combines the effects of shear rate, temperature and the level of crystallinity.

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“…A one-phase crystallization model was selected for predicting the crystallization kinetics in spinline [1][2][3][10][11][12]. Dimensionless governing equations for fiber spinning process are expressed as follows.…”

Section: Governing Equations For Spinning Flowsmentioning

confidence: 99%

“…Accordingly, many researchers in academia and industry have explored the stability and sensitivity issues in this process for the enhanced control of product quality and processability during the past four decades [4][5][6][7][8][9][10][11][12]. Stability studies have mainly focused on the draw resonance phenomenon which is distinguished by the self-sustained periodic oscillation of spinline variables like spinline cross-sectional area and spinline tension over the critical onsets.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of spinning process with flow-induced crystallization kinetics using frequency response method

Yun¹,

Shin

Lee³

et al. 2010

Korean J. Chem. Eng.

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The sensitivity of the low-and high-speed spinning processes incorporated with flow-induced crystallization has been investigated using frequency response method, based on process conditions employed in Lee et al. [1] and Shin et al. [2,3]. Crystallinity occurring in the spinline makes the spinning system less sensitive to any disturbances when it has not reached its maximum onto the spinline in comparison with the spinning case without crystallization. Whereas, the maximum crystallinity increases the system sensitivity to disturbances, interestingly exhibiting high amplitude value of the spinline area at the take-up in low frequency regime. It also turns out that neck-like deformation in the spinline under the high-speed spinning conditions plays a key role in determining the sensitivity of the spinning system.

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Simulation of melt spinning including flow-induced crystallization

Cited by 108 publications

References 13 publications

Stress Induced Crystallization in Elongational Flow

Stress Induced Crystallization in Elongational Flow

Crystallinity and Linear Rheological Properties of Polymers

Sensitivity of spinning process with flow-induced crystallization kinetics using frequency response method

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