Multiphase CFD Modeling and Experimental Validation of Polymer and Attenuating Air Jet Interactions in Nonwoven Annular Melt Blowing.
Multiphase CFD Modeling and Experimental Validation of Polymer and Attenuating Air Jet Interactions in Nonwoven Annular Melt Blowing.
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DOI：
10.1021/acs.iecr.2c01710
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发表时间：
2022-09-21
影响因子：
4.2
通讯作者：
Shirwaiker, Rohan A.
中科院分区：
文献类型：
--
作者：
Schuchard, Karl G.;Pawar, Advay;Anderson, Bruce;Pourdeyhimi, Behnam;Shirwaiker, Rohan A.
在环形熔喷中，纤维形成通过经由高速空气赋予的拖曳力加速熔融聚合物来实现，所述拖曳力使聚合物射流直径变细。聚合物-空气界面的相互作用控制着射流的运动，并影响着纤维的特性，这一点很重要，但尚未得到很好的理解。这项工作详细介绍了多相计算流体动力学（CFD）模型的开发和验证，以研究这些相互作用和三个关键的熔喷工艺参数（聚合物粘度和吞吐量，和空气速度）对两个关键的纤维属性的影响-搅打不稳定性和纤维直径。模拟结果表明，聚合物和空气的速度差是导致搅打不稳定性的主要原因，而聚合物流量和空气速度是影响纤维直径的主要因素。通过调节聚合物和空气的通过量以及实验分析纤维直径来验证CFD模型。经验结果表明，制造和模型估计的纤维直径之间的良好协议，特别是在较低的空气流速。使用文献中描述的熔喷喷嘴几何形状和工艺参数进行的额外CFD模拟也证实了模型估计值与文献经验数据之间的良好相关性。
In annular melt blowing, fiber formation is achieved by accelerating a molten polymer via drag forces imparted by high velocity air that attenuates the polymer jet diameter. The interactions at the polymer-air interface, which govern the motion of the jets and impact the resulting fiber characteristics, are important but not well understood yet. This work details the development and validation of a multiphase computational fluid dynamics (CFD) model to investigate these interactions and the effects of three key melt blowing process parameters (polymer viscosity and throughput, and air velocity) on two critical fiber attributes – whipping instability and fiber diameter. Simulation results highlighted that whipping instability was driven by the polymer-air velocity differential, and the fiber diameter was primarily modulated by polymer throughput and air velocity. The CFD model was validated by modulating the polymer and air throughputs and analyzing the fiber diameter experimentally. Empirical results showed good agreement between fabricated and model-estimated fiber diameters, especially at lower air velocities. An additional CFD simulation performed using a melt blowing nozzle geometry and process parameters described in literature also confirmed good correlation between model estimates and literature empirical data.
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影响因子：
3.7
作者：
ENTOV, VM;YARIN, AL
通讯作者：
YARIN, AL
影响因子：
2.5
作者：
Guo, Mulin;Liang, Haixia;Wei, Wuji
通讯作者：
Wei, Wuji
狭缝模头熔喷中湍流气流的粒子图像测速 (PIV) 研究
影响因子：
5
作者：
Xie, Sheng;Jiang, Guojun;Shentu, Baoqing
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Shentu, Baoqing
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9.5
作者：
Hassan, Mohammad Abouelreesh;Yeom, Bong Yeol;Khan, Saad. A.
通讯作者：
Khan, Saad. A.
影响因子：
3.2
作者：
KAYSER, JC;SHAMBAUGH, RL
通讯作者：
SHAMBAUGH, RL