乏信息材料布氏硬度测量不确定度蒙特卡罗评定

Poor Information Material Brinell Hardness Measurement Uncertainty Evaluation Based on Monte Carlo Method

应用蒙特卡罗方法实现小样本材料布氏硬度测量不确定度的评定。依据测量误差源标定数据或布氏硬度测量结果两种数据处理途径,分析已知数据的概率分布特性,通过产生大样本量的随机数进行仿真,拓宽数据样本空间,进而分别依据不确定度合成和贝塞尔公式计算出乏信息材料布氏硬度测量不确定度。通过具体的测量实例验证了本方法的可行性。

Based on poor Brinell hardness measurement information, a novel uncertainty evaluation method was described. According to analyzing the data of all error sources or the limited measurement results, characteristics of these data were gained. And then, by big sample random simulations, sample space of these data can be expanded. Finally, in terms of the Bessel formula and the uncertainty synthesis principle, poor information Brinell hardness measurement uncertainty can be evaluated rightfully. By a practical Brinell hardness measurement, the validity of proposed method was proved.