首页> 外文期刊>International journal of multiscale computational engineering >APPLICATION OF THE AUTOMATIC IMAGE PROCESSING IN MODELING OF THE DEFORMATION MECHANISMS BASED ON THE DIGITAL REPRESENTATION OF MICROSTRUCTURE
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APPLICATION OF THE AUTOMATIC IMAGE PROCESSING IN MODELING OF THE DEFORMATION MECHANISMS BASED ON THE DIGITAL REPRESENTATION OF MICROSTRUCTURE

机译:基于微结构数字表示的自动图像处理在变形机理建模中的应用

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摘要

Numerical modeling based on digital material representation (DMR) prepared on the basis of the automated multiscale processing of microstructure photographs is the subject of this work. The main assumptions of the proposed algorithms, including image filtering, reconstruction, and grain analysis of one- and two-phase materials, are described in the paper. Their advantages and limitations are also discussed in detail. Then the results of the image analysis in the form of explicitly described microstructure representation in two dimensions are passed as input data directly to the finite element software. The sample of digital material is analyzed in order to generate the mesh of finite elements and to attach necessary rheological models. These data are then used during finite element simulations of plastometric compression tests. Examples of obtained stress and strain distribution across an explicitly represented microstructure after deformation are presented and discussed. Directions for future development of the presented approach are also highlighted.
机译:这项工作的主题是基于数字材料表示(DMR)的数字模型,该数字模型是在对微结构照片进行自动多尺度处理的基础上准备的。本文介绍了所提出算法的主要假设,包括图像滤波,重构以及一相和两相材料的颗粒分析。还详细讨论了它们的优点和局限性。然后,以明确描述的二维微观结构表示形式的图像分析结果作为输入数据直接传递到有限元软件。分析数字材料样本,以生成有限元网格并附加必要的流变模型。这些数据然后用于塑性压缩测试的有限元模拟中。给出并讨论了变形后在明确表示的微观结构上获得的应力和应变分布的示例。还重点介绍了所提出方法的未来发展方向。

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