Data assimilation for three-dimensional flow monitoring in non-flat composite structures during vacuum-assisted resin transfer molding: A numerical study
Data assimilation for three-dimensional flow monitoring in non-flat composite structures during vacuum-assisted resin transfer molding: A numerical study
复制标题
DOI：
10.1016/j.compstruct.2017.03.089
复制
发表时间：
2017-07-15
影响因子：
6.3
通讯作者：
Shiota, Masaya
中科院分区：
文献类型：
--
作者：
Matsuzaki, Ryosuke;Shiota, Masaya
本研究旨在通过将视觉观察与真空辅助树脂转移成型过程中树脂流动的随机数值模拟相结合，研究数据同化在监测非平面三维形状流动中的适用性。首先，我们研究了图像分辨率对流量监测估计性能的影响。通过不同分辨率图像的数值实验，验证了该技术的图像分辨率适用范围。此外，该技术还应用于三维结构，如曲面或肋结构。利用视觉观测值，结合成型的形状计算图像数据获得的浸渍距离。结果表明，本文提出的方法能够成功地估计三维浸渍行为和渗透场。(C) 2017 Elsevier Ltd.版权所有。
This study set out to investigate the applicability of data assimilation to the monitoring of the flow of non-planar 3D shapes through the integration of visual observations with a stochastic numerical simulation of the resin flow in a vacuum-assisted resin-transfer molding process. First, we investigated the effect of the image resolution on the flow-monitoring estimation performance. By means of numerical experiments using images of various resolutions, we verified the applicable range of the image resolution in the proposed technique. Furthermore, the proposed technique was applied to 3D structures such as curved surfaces or ribbed structures. Using the visual observation values, the impregnation distances obtained from the image data were calculated in combination with the shape of the molding. The results confirmed that our proposed method is capable of successfully estimating the 3D impregnation behavior and permeability fields. (C) 2017 Elsevier Ltd. All rights reserved.