2017
DOI: 10.1002/pen.24506
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3‐D numerical simulations for polycondensation of poly(p‐phenylene terephthalamide) in twin screw extruder

Abstract: Poly(p-phenylene terephthalamide) (PPTA) is a typical high-performance fiber and usually synthesized by low temperature solution polycondensation in twin screw extruder. During the reactive extrusion, flow behavior, rheokinetics, and temperature are highly coupled, which makes it difficult to ensure the quality of product. In the present work, the rheokinetics of the PPTA solution is established by experiments and its reactive extrusion is investigated via 3-D numerical simulation. The flow pattern, molecular … Show more

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Cited by 8 publications
(6 citation statements)
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“…Zhu et al [ 80 ] studied the theoretical effects of screw rotating speed, screw element geometry, and initial conversion at the extruder inlet on polymerization of ϵ ‐caprolactone based on 3D fully‐filled twin‐screw conveying elements using Fluent. Zong et al [ 86 ] experimentally researched the rheokinetics of Poly( p ‐phenylene terephthalamide) polycondensation and then theoretically compared flow pattern, temperature, and molecular weight distribution in the conveying screw, kneading element, and SME based on 3D geometric models on the Polyflow platform. More recently, Sun et al [ 87 ] simulated the reactive preparation of PP/TiO 2 nanocomposites in a TSE with two linked screws of conveying and mixing screw elements based on the Polyflow platform as well.…”
Section: Simulation and Modellingmentioning
confidence: 99%
“…Zhu et al [ 80 ] studied the theoretical effects of screw rotating speed, screw element geometry, and initial conversion at the extruder inlet on polymerization of ϵ ‐caprolactone based on 3D fully‐filled twin‐screw conveying elements using Fluent. Zong et al [ 86 ] experimentally researched the rheokinetics of Poly( p ‐phenylene terephthalamide) polycondensation and then theoretically compared flow pattern, temperature, and molecular weight distribution in the conveying screw, kneading element, and SME based on 3D geometric models on the Polyflow platform. More recently, Sun et al [ 87 ] simulated the reactive preparation of PP/TiO 2 nanocomposites in a TSE with two linked screws of conveying and mixing screw elements based on the Polyflow platform as well.…”
Section: Simulation and Modellingmentioning
confidence: 99%
“…Zhang et al [ 32 ] prepared a polypropylene (PP)/wood-fiber (WF) composite foam using the pressure quenching batch method and investigated the effects of the screw configuration, screw speed and silica on the physical and mechanical properties and foaming properties of PP/WF composites. Zong et al [ 33 ] studied the flow pattern, molecular weight distribution and temperature of poly (p-phenylenediamine terephthalate) in three extruders with different elements. Zhang et al [ 34 ] calculated the area draw ratio, instantaneous efficiency and time average efficiency of the mixing disc by studying the distributed mixing power and simulated the local residence time distribution of the TSE using the particle tracking method.…”
Section: Introductionmentioning
confidence: 99%
“…Water as a plasticizer in the extrusion process greatly affects the flow behavior of the fluid; the flow situation inside the extruder also depends on the highly coupled operating conditions, poly-condensation dynamics and rheology dynamics, due to changes in the interaction between the pressure flow and drag flow generated during the rotation of the screws [ 25 ]. Given that raw food materials have deformable, hygroscopic and amorphous properties in a multi-phase mixing and dispersion system, it is necessary to control the extrusion process through theoretical analysis in order to improve the adaptability of different process parameters and meet various needs in different application scenarios [ 26 , 27 ]. Under the limitation of the closed chamber in the extruder, numerical simulation can effectively reveal the shear mixing effect of the fluid, accurately describe the local flow characteristics inside the barrel and provide more detailed information about the “black box” than the experimental study.…”
Section: Introductionmentioning
confidence: 99%