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To Determination a Distribution Law of Subgrain Sizes Formed in the Cold Plastic Deformation Process

机译:确定冷塑动变形过程中形成的粒子尺寸的分布规律

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The method for determination and identifying the distribution law from experimental data on the subgrain sizes distribution obtained in the cold plastic deformation process by rolling is proposed. For this purpose, normalized histograms are constructed from experimental data on the random variable distribution. These data are compared with the densities of continuous distribution laws known from literature's sources. The selected laws have the closest form of the distribution density function to normalized experimental histograms. For these distribution laws, their parameters are determined by solving the problem of minimizing the square deviation of experimental and theoretical data for the distribution density function of subgrain sizes. For all considered statistical laws, the mean value of residual for different rolling reduction is found, the best law with the smallest deviation is chosen. For this law parameters dependence approximation on strain intensity is constructed that allows estimating distribution of the random variable (subgrain sizes) in an arbitrary moment of deformation, different from available in experiments.
机译:提出了通过轧制在冷塑塑动变形过程中获得的粒度尺寸分布的实验数据的确定方法。为此目的,归一化直方图由关于随机可变分布的实验数据构建。将这些数据与文学来源中已知的连续分布法的密度进行比较。所选定律具有最接近的分布密度函数形式,以规范化实验型直方图。对于这些分布法,通过解决最小化子粒尺寸的分布密度函数的实验和理论数据的平方偏差来确定它们的参数。对于所有考虑的统计法,发现了不同滚动减少的剩余的平均值,选择了最小偏差的最佳定律。对于该法律参数,构造了应变强度的依赖性近似,允许在实验中可用的任意变形时刻估计随机变量(子粒尺寸)的分布。

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