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首页> 外文期刊>Journal of Engineered Fibers and Fabrics >A Computational Fluid Dynamics Modeling and Experimental Study of the Mixing Process for the Dispersion of the Synthetic Fibers in Wet-Lay Forming
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A Computational Fluid Dynamics Modeling and Experimental Study of the Mixing Process for the Dispersion of the Synthetic Fibers in Wet-Lay Forming

机译：湿法成型中合成纤维分散的混合流体的计算流体力学建模和实验研究

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In this paper, we present results from a computational fluid dynamics (CFD) model for the mixing process used to disperse synthetic fibers in wet-lay process. We used CFD software, FLUENT, together with the MIXSIM user interface to accurately model the impeller geometry. A multiple reference frame (MRF) model and standard k-e turbulence model were used to model the problem. After obtaining a converged solution for the mixing tank with water, a discrete phase model was constructed by injecting spherical particles into the flow. A mixing tank with baffles and a centrally located impeller was used in experiments. PET fibers (1.5 denier, 6.35, 12.7, and 38.7 mm) at a concentration of 0.01% were mixed in water for the study. In regions behind the baffles, where the model predicted higher concentration of particles, experimental results showed a 34% higher concentration relative to the region in the high turbulence zone near the center. Instantaneous sheets were formed by rapidly dipping and removing a flat wire mesh strainer into the tank at two different locations to assess the state of dispersion in the tank. The sheets were transferred onto a blotting paper and examined under a microscope to count defects. Results show that the number of rope defects was 43% higher in sheets drawn from the region behind the baffles than in the sheets drawn from regions near the center of the tank. Changing baffles from a rectangular to a triangular cross section decreased the number of rope defects, but increased the number of log defects in the sample sheets at the same location. The CFD model can be used to optimize mixing tank design for wet lay fiber dispersion. The model provides further insight into the mixing process by predicting the effect of changes in design parameters on dispersion quality
机译：在本文中，我们介绍了一种用于混合工艺的计算流体力学（CFD）模型的结果，该混合工艺用于在湿法铺网工艺中分散合成纤维。我们使用CFD软件FLUENT和MIXSIM用户界面一起对叶轮的几何形状进行精确建模。使用多参考系（MRF）模型和标准k-e湍流模型对问题进行建模。在获得水混合罐的收敛溶液后，通过将球形颗粒注入流中来构建离散相模型。实验中使用了带挡板和中心叶轮的混合罐。将浓度为0.01％的PET纤维（1.5旦，6.35、12.7和38.7毫米）混合在水中进行研究。在挡板后面的区域中，该模型预测了较高的颗粒浓度，实验结果表明，该浓度比中心附近高湍流区的浓度高34％。通过在两个不同位置快速浸没扁平金属丝网过滤器并将其移入罐中以评估罐中的分散状态，可以形成瞬时片材。将片材转移到吸墨纸上并在显微镜下检查以计数缺陷。结果表明，从挡板后面区域抽出的钢丝绳的缺陷数量比从罐中心附近区域抽出的钢丝绳的缺陷数量高43％。将挡板从矩形横截面更改为三角形横截面可减少绳索缺陷的数量，但会增加同一位置的样本纸中对数缺陷的数量。 CFD模型可用于优化湿法分散纤维分散的混合罐设计。该模型通过预测设计参数变化对分散质量的影响，提供了对混合过程的进一步洞察力

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