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On the material characterization of a composite using micro CT image based finite element modeling

机译:基于微CT图像的有限元建模对复合材料的材料表征

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Novel techniques for generating robust and accurate meshes based on 3-D imaging data have recently been developed which make the prediction of macro-structural properties of composite structures based on micro-structural composition straightforward. The accuracy of reconstructions is a particular strong point of these new techniques with geometric accuracy only contingent on image quality. Algorithms developed and used are topology preserving, volume preserving and multi-part geometric models can be handled straightforwardly. In addition to modeling different constituent materials as separate mesh domains, material properties can be assigned based on signal strength in the parent image thereby providing a way of modeling continuous variations in properties for an inhomogeneous medium. These new techniques have been applied to the analysis of a ceramic matrix composite which was micro-CT scanned and the influence of imaging parameters on both predicted bulk properties and localized stresses has been explored. This paper utilizes the Computed Tomography (CT) as the NDE technique to characterize the initial matrix porosity's locations and sizes in a Ceramic Matrix Composites (CMC) test specimen. Further, the Finite Element (FE) method is applied to calculate the localized stress field around these pores based on the geometric modeling of the specimen's CT results, using image analysis, geometric modeling and meshing software, ScanIP/ScanFE. The analyses will simulate experimental loading conditions where scanned specimens are then tensile tested to a 0.07% total strain to identify the matrix cracking locations in relation to the original pores. Additional work is carried out combining the image processing and finite element to investigate the applicability of some novel meshing techniques. Finally, the calculated Finite Element localized stress risers are compared with the observed matrix cracking locations. This work is expected to show that an FE model based on an accurate 3-D rendered model from a series of CT slices is an essential tool to quantify the effects of internal macroscopic defects of complex material systems such as CMCs.
机译:近来已经开发了用于基于3-D成像数据生成鲁棒且精确的网格的新颖技术,其使得基于微结构组成的复合结构的宏观结构特性的预测变得简单。重建的精度是这些新技术的一个特别强项,其几何精度仅取决于图像质量。开发和使用的算法是拓扑保留,体积保留和多部分几何模型,可以直接处理。除了将不同的组成材料建模为单独的网格域之外,还可以基于父图像中的信号强度来分配材料属性,从而提供一种对不均匀介质的属性连续变化进行建模的方式。这些新技术已被应用到陶瓷基复合材料的分析中,该复合材料已进行了微CT扫描,并探讨了成像参数对预测的整体性能和局部应力的影响。本文利用计算机断层扫描(CT)作为NDE技术来表征陶瓷基质复合材料(CMC)测试样品中初始基质孔隙的位置和大小。此外,基于样品CT结果的几何模型,使用图像分析,几何模型和网格划分软件ScanIP / ScanFE,应用有限元(FE)方法来计算这些孔周围的局部应力场。该分析将模拟实验加载条件,在该条件下,对扫描的样本进行拉伸测试以达到0.07%的总应变,以识别相对于原始孔的基质开裂位置。结合图像处理和有限元进行了其他工作,以研究某些新颖的网格划分技术的适用性。最后,将计算出的有限元局部应力上升与观察到的基体裂纹位置进行比较。预期这项工作将表明,基于一系列CT切片的精确3-D渲染模型的有限元模型是量化复杂材料系统(例如CMC)内部宏观缺陷影响的重要工具。

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