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Method to measure orientation of discontinuous fiber embedded in the polymer matrix from computerized tomography scan data

机译:从计算机断层扫描数据测量嵌入聚合物基质中不连续纤维取向的方法

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摘要

Usage of discontinuous glass fibers in injection- and compression-molded resin components is rapidly increasing to improve their mechanical properties. Since added fiber contributes to more strength along the fiber direction compared with transverse direction, the mechanical properties of such components strongly depend on the fiber orientation. Therefore, it is important to estimate the fiber orientation distribution in such materials. In this article, we are presenting a recently developed method to estimate fiber orientation using micro computerized tomography (CT) scan-generated three-dimensional (3-D) image of fibers. However, the large size of the CT scan-generated 3-D image often makes it difficult to separate each fiber and extract end point information. In this article, a novel method to address this challenge is presented. The micro-CT images were broken into finite volume, reducing data size, and then each fiber was reduced to its own centerline, using Mimics((R)) Innovation Suite (Materialise NV), further reducing the data size. These 3-D centerlines were then used to quantify the second-order orientation tensor. The results from the proposed method are compared with the measurements using well-established industry standard approach called the method of ellipses for validation. The key challenges in estimating the fiber orientation are identified and future improvements are proposed.
机译:不连续玻璃纤维在注塑和压塑树脂组件中的使用正在迅速增加,以改善其机械性能。由于添加的纤维与横向相比在纤维方向上的强度更高,因此此类组件的机械性能很大程度上取决于纤维的方向。因此,重要的是估计这种材料中的纤维取向分布。在本文中,我们介绍了一种最新开发的方法,该方法使用微计算机断层扫描(CT)扫描生成的纤维三维(3-D)图像估算纤维取向。然而,CT扫描生成的3-D图像的大尺寸通常使得难以分离每根光纤并提取终点信息。在本文中,提出了一种解决此难题的新颖方法。微型CT图像被分成有限的体积,以减小数据大小,然后使用Mimics(R)Innovation Suite(Materialise NV)将每根光纤缩小到自己的中心线,从而进一步减小数据大小。然后将这些3-D中心线用于量化二阶取向张量。所提出的方法的结果与使用成熟的行业标准方法(称为椭圆法)进行验证的测量结果进行了比较。确定了估计纤维取向的主要挑战,并提出了未来的改进方案。

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