Modeling and Simulation of the Coagulation Process of Poly(acrylonitrile) Wet-Spinning

Oh, Sea Cheon; Wang, Young Soo; Yeo, Yeong Koo

doi:10.1021/ie960261a

Cited by 23 publications

(15 citation statements)

References 5 publications

(5 reference statements)

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“…Axial composition profiles of DMSO are illustrated in Figure for the two different nonsolvents—water and ethanol. Both curves exhibit an asymptotic decrease in solvent concentration along the spinline, typical of behaviors seen experimentally . However, as shown in Figure , the decrease in solvent composition is more rapid for the case of nonsolvent water.…”

Section: Resultssupporting

confidence: 57%

“…More recently, Oh et al . (1996) investigated the HNO 3 composition within poly(acrylonitrile) (PAN) fibers as a function of bath length, and reported satisfactory agreement of their experimental data with the model results . They found the coefficients of an empirical expression to relate the diffusion coefficient to the solvent concentration.…”

Section: Introductionmentioning

confidence: 95%

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Two‐dimensional modeling of polymer wet spinning: The effects of mass transfer dynamics on structural properties

Zerze

McHugh

2014

J of Applied Polymer Sci

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In this work, a two-dimensional model of polymer wet spinning that couples simultaneous momentum and energy transport with ternary diffusion and phase separation processes is presented and its predictions for a model system are discussed. The uniqueness of the model lies in its two-phase nature and ability to predict important characteristics of the wet spinning process, such as the locking-in of axial velocity, mass transfer behavior, and internal structure formation along the spinline. The model predicts growth of the two-phase gel that forms and the porous fractions within it, along with the compositions of the polymer-rich and solvent-nonsolvent-rich phases. The appearance of a skin-core structure that depends on the system and operating conditions is also predicted. These features are demonstrated through analyses of the isothermal wet spinning of poly(acrylonitrile) solutions in dimethlysulfoxide using two different nonsolvent coagulants, water and ethanol.

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Section: Resultssupporting

confidence: 57%

Section: Introductionmentioning

confidence: 95%

Two‐dimensional modeling of polymer wet spinning: The effects of mass transfer dynamics on structural properties

Zerze

McHugh

2014

J of Applied Polymer Sci

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“…The mutual diffusion coefficient of solvent and nonsolvent in the coagulation bath was taken equal to 1 × 10 −9 m 2 /s and typical values for the partition coefficients of solvent and nonsolvent Downloaded by [University of South Florida] at 06:50 08 October 2014 were 1.0 and 0.5, respectively. [22] In agreement with previous literature, [17,18] the model was built without taking the flow field into consideration.…”

Section: Where C 0(i J) Is the Initial Molar Concentration Of Componmentioning

confidence: 53%

“…The development of computer technology aids in simulating experimental phenomena. General modeling techniques to understand the mechanisms of the coagulation processes have been reported by Oh et al [17] and Chen et al [18] Although the models presented general coagulation mechanisms, they cannot provide detailed information of the early stage of the coagulation process. The goal of the research reported here was to investigate the effect of bath concentration on the early stage of coagulation kinetics during wet spinning for the PAN copolymer/ dimethylsulfoxide/water system by both experiments and a mathematical model.…”

Section: Introductionmentioning

confidence: 99%

Effect of Bath Concentration on Coagulation Kinetics at the Early Stage during Wet Spinning of PAN Copolymer Nascent Fibers

Zhou

Lü

Shi

et al. 2011

Journal of Macromolecular Science, Part B

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A mathematical model was proposed to simulate the effect of bath concentration on coagulation kinetics at the early stage of wet spinning for the poly(acrylonitrile-co-vinyl acetate)/dimethylsulfoxide (DMSO)/water system. The dependence of critical precipitation time, components concentration distribution, and the radius of nascent fibers on the concentration of DMSO in the DMSO/water coagulation bath were estimated by solving the model equation numerically. The experimental results indicated the model was suitable to simulate the dynamic features of the early stage of the coagulation process. The critical precipitation time was found to increase with bath concentration. The mode of phase separation was changed from instantaneous demixing to delayed demixing as DMSO bath concentration increased. The simulation results showed that bath concentration influenced the phase separation path which determined the polymer concentration distribution in the spinning solution. As a result, nascent fibers with different structures would form in wet spinning and a radial homogeneous structure would be obtained when the DMSO bath concentration increased to some extent.

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“…Early in 1968, Paul [6] discussed the spinnability and diffusion dynamics in the wet-spinning of acrylonitrile-vinyl acetate copolymer with the gel stick of PAN concentrated solution in DMAc. Afterwards, Oh [7] and Law [8] studied the coagulation process of fiber with aqueous solutions of nitric acid and sodium thiocyanate respectively. Chen [9] researched on the forming process of PAN fiber with DMSO as the solvent.…”

Section: Introductionmentioning

confidence: 99%

Study on the coagulation process of cellulose nascent fibers with ionic liquid AMIMCl as a solvent during dry-wet spinning

et al. 2011

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Abstract:The coagulation process of nascent fiber of cellulose with ionic liquid 1-allyl-3-methylimidazolium chloride (AMIMCI) as the solvent was studied during drywet spinning. The diffusion rate and the crystallization situation of nascent fiber were tested, its fracture morphology was observed, and the diffusion coefficient D of solvent and the crystallization degree of nascent fiber were calculated according to relevant equations. The diffusion rate and diffusion coefficient of ionic liquid decrease with cellulose concentration increasing in spinning solution and then remain almost the same when the cellulose mass fraction reaches 7%. With the increase of coagulation bath concentration, the diffusion rate and diffusion coefficient of the solvents increase first and then decrease. When the coagulation bath concentration reaches 5%, the diffusion rate and diffusion coefficient of the solvents are at their maximum. With the increase of coagulation bath temperature and the length of air gap, the diffusion rate and diffusion coefficient of ionic liquid increase slightly. The cellulose solution concentration and the spinning air gap have an influence on the crystallization degree of nascent fiber. With the increase of cellulose solution concentration and the spinning air gap, the crystallization degree of the produced nascent fiber increases slightly, but the coagulation bath temperature basically have no influence on the nascent fiber formation.

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Modeling and Simulation of the Coagulation Process of Poly(acrylonitrile) Wet-Spinning

Cited by 23 publications

References 5 publications

Two‐dimensional modeling of polymer wet spinning: The effects of mass transfer dynamics on structural properties

Two‐dimensional modeling of polymer wet spinning: The effects of mass transfer dynamics on structural properties

Effect of Bath Concentration on Coagulation Kinetics at the Early Stage during Wet Spinning of PAN Copolymer Nascent Fibers

Study on the coagulation process of cellulose nascent fibers with ionic liquid AMIMCl as a solvent during dry-wet spinning

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