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From Individual Graphite Assignment to an Improved Digital Image Analysis of Ductile Iron

机译:从个体石墨分配到改进的韧性铁的数字图像分析

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Since graphite classification by visual analysis exhibits large variations, a more integrative concept of graphite shape classification is required to evaluate the correlations of process, microstructure and properties, and to fulfill customers' requirements. The automatic digital image analysis is partly based on visual analysis, but it is not thoroughly defined for graphite shape classification. For example, nodules and thereby nodularity are only defined by the shape parameter roundness, although several studies suggest more sophisticated approaches. Within the first of three successive round robin tests, visual assignment for a variety of graphite particles was performed to obtain a universal digital data set of classified graphite particles. For this, the classification approach from standard EN ISO 945-1 was used and extended with degenerated graphite. The assigned particles were evaluated concerning different shape parameters showing that roundness and the assigned minimum limit value of 0.6 are not sufficient to distinguish nodules from less ideal graphite particle shapes. Furthermore, the current classification approach does not represent the full spectrum of graphite morphologies and needs to be extended. The development of a universal hierarchical classification method for nodules and other graphite shapes has been initiated, and the results will contribute to an improved image analysis standard for ductile iron, particularly ISO 945-4.
机译:由于通过视觉分析的石墨分类表现出大的变化,因此需要更加积极的石墨形状分类概念来评估工艺,微观结构和性质的相关性,并满足客户的要求。自动数字图像分析部分基于视觉分析,但不彻底地定义石墨形状分类。例如,结节和由此结节性仅由形状参数圆度定义,尽管若干研究表明了更复杂的方法。在三个连续的循环测试中的第一个中,进行了各种石墨颗粒的视觉分配,以获得分类石墨粒子的通用数字数据集。为此,使用标准EN ISO 945-1的分类方法并与退化的石墨延伸。评估分配的颗粒关于不同的形状参数,显示圆度和分配的最小限值0.6的不足以区分来自较薄的石墨颗粒形状的结节。此外,目前的分类方法不代表石墨形态的全部光谱,并且需要延长。已经开始开发用于结节和其他石墨形状的通用分层分类方法,结果将有助于延性铁的改进的图像分析标准,特别是ISO 945-4。

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