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Melt-blowing of viscoelastic jets in turbulent airflows: Stochastic modeling and simulation

机译:湍流中粘弹性射流的熔喷:随机建模和模拟

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In melt-blowing processes micro- and nanofibers are produced by the extrusion of polymeric jets into a directed, turbulent high-speed airflow. Up to now the physical mechanism for the drastic jet thinning has not been fully understood, since in the existing literature the numerically computed/predicted fiber thickness differs several orders of magnitude from those experimentally measured. Recent works suggest that this discrepancy might arise from the neglect of the turbulent aerodynamic fluctuations in the simulations. In this paper we confirm this suggestion numerically. Due to the complexity of the process, direct numerical simulations of the multiscale-multiphase problem are not possible. Hence, we develop a numerical framework for a growing fiber in turbulent air that makes the simulation of industrial setups feasible. For this purpose we employ an asymptotic viscoelastic model for the fiber. The turbulent effects are taken into account by a stochastic aerodynamic force model where the underlying velocity fluctuations are reconstructed from a k - is an element of turbulence description of the airflow. Our numerical results show the significance of the turbulence on the jet thinning and give fiber diameters of realistic order of magnitude. (C) 2019 Elsevier Inc. All rights reserved.
机译:在熔喷工艺中,通过将聚合物射流挤出成定向的湍流高速气流来生产微纤维和纳米纤维。到目前为止,还没有完全了解急剧喷射稀化的物理机理,因为在现有文献中,数值计算/预测的纤维厚度与实验测量的纤维厚度相差几个数量级。最近的工作表明,这种差异可能是由于在模拟中忽略了湍流的空气动力波动而引起的。在本文中,我们从数字上证实了这一建议。由于过程的复杂性,无法进行多尺度多相问题的直接数值模拟。因此,我们为湍流空气中生长的纤维开发了一个数值框架,这使对工业设置的仿真变得可行。为此,我们为纤维采用了渐近的粘弹性模型。随机空气动力模型考虑了湍流效应,其中从k重新构造了基础速度波动-这是描述气流湍流的要素。我们的数值结果表明了湍流对射流细化的重要性,并给出了实际数量级的纤维直径。 (C)2019 Elsevier Inc.保留所有权利。

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