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首页> 外文期刊>Journal of Materials Science >Characterization of the evolution of recrystallization by fluctuation and fractal analyses of the magnetic hysteresis loop in a cold rolled non-oriented electric steel
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Characterization of the evolution of recrystallization by fluctuation and fractal analyses of the magnetic hysteresis loop in a cold rolled non-oriented electric steel

机译:通过冷轧无取向电工钢的磁滞回线的波动和分形分析表征再结晶的演变

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摘要

Silicon steels with non-oriented grains are widely used in the fabrication of electrical motor nucleus where a low magnetic loss is an important point. The performance of these motors is affected by the level of recrystallization of these steels which can come from the steel plant in a semi-processed condition. In this condition, they have a partially deformed structure and are submitted to an adequate annealing heat treatment, after reaching the end shape, to get an appropriate magnetic property. In this study, samples of an electric steel, cold rolled 50% in thickness, were withdrawn during the industrial heat treatment at temperatures of 575, 580, 600, 620 and 730 °C with the objective of evaluating the evolution of recrystallization with temperature. Magnetic properties were measured at room temperature in a vibrating sample magnetometer and the changes in magnetic hysteresis loop with temperature have been identified by using two pattern classification techniques, principal-component analysis and Karhunen-Loève (KL) expansion, associated with statistical fluctuations and fractal analyses. The fluctuation and fractal analyses were used as preprocessing tools of the series which are built from each hysteresis loop, properly renormalized, whose values correspond to the amplitudes of the loop at given equally spaced values of the renormalized field interpolated between the experimental data. The samples have been classified in four sets corresponding to different temperatures, and to samples without annealing heat treatment and recrystallized ones. The classification of the different microstructures have been obtained by applying the two pattern classification techniques to the vectors obtained from the preprocessing, and in particular a 100% success rate has been reached by using KL expansion.
机译:具有非取向晶粒的硅钢被广泛用于制造电机核,而低磁损耗是重点。这些电动机的性能受这些钢的重结晶程度影响,这些重结晶程度可能来自半加工状态下的钢铁厂。在这种情况下,它们具有部分变形的结构,并在达到最终形状后进行适当的退火热处理,以获得适当的磁性能。在这项研究中,厚度为50%的冷轧电工钢样品是在575、580、600、620和730°C的温度下工业热处理期间取出的,目的是评估随温度再结晶的演变。使用振动样品磁力计在室温下测量磁性能,并通过使用两种模式分类技术(主成分分析和Karhunen-Loève(KL)膨胀)确定了磁滞回线随温度的变化,这与统计波动和分形有关分析。波动和分形分析被用作从每个磁滞回线构建的序列的预处理工具,并对其进行了适当的归一化,其值对应于在实验数据之间插值的给定归一化场的给定等距值下的环路振幅。将样品分为四组,分别对应不同的温度,以及未经退火热处理和重结晶的样品。通过将两种模式分类技术应用于从预处理中获得的矢量,已经获得了不同微结构的分类,尤其是通过使用KL扩展,已经达到了100%的成功率。

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