Statistical characteristics and logarithmic EWMA control method of bearing raceway's surface roughness by superfinishing

Shuangjiao Fan, Wangcheng Qiu, Wenxu Chen, Jing Du, Qiang Liu, G. Pang
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Abstract

The bearing raceway is the main working surface of the bearing and good surface integrity is required. Since superfinishing is an important method for achieving high surface quality, it is usually used as the last processing to play a very essential part in improving the surface integrity of bearing raceway. In this paper, we proposed a superfinishing surface quality control method, by which we could determine whether there were systematic factors that caused surface quality anomalies by measuring and analysing the roughness data without directly measuring process parameters and environmental indicators. Firstly, we verified through experiment that the surface roughness by superfinishing did not obey the normal distribution but obeyed the logarithmic normal distribution. We interpreted this statistic characteristics by the mechanism of the relationship between roughness and random factors in the superfinishing. Then, according to above findings, and considering the possible trend of surface roughness during continuous processing, we designed a logarithmic exponentially weighted moving average (EWMA) method to test the surface roughness and judge whether it was under control. Finally, the effectiveness of this surface quality control method in superfinishing was verified by applying it to the actual bearing raceway outer ring machining.
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超精加工轴承滚道表面粗糙度的统计特性及对数EWMA控制方法
轴承滚道是轴承的主要工作表面,要求具有良好的表面完整性。由于超精加工是获得高表面质量的重要方法,它通常作为最后的加工,对提高轴承滚道表面完整性起着非常重要的作用。本文提出了一种超精加工表面质量控制方法,在不直接测量工艺参数和环境指标的情况下,通过测量和分析粗糙度数据来判断是否存在导致表面质量异常的系统性因素。首先,通过实验验证了超精加工后的表面粗糙度不服从正态分布,而是服从对数正态分布。我们用超精加工中粗糙度与随机因素关系的机理来解释这一统计特性。然后,根据上述发现,并考虑连续加工过程中表面粗糙度可能的变化趋势,设计了对数指数加权移动平均(EWMA)方法来测试表面粗糙度,判断表面粗糙度是否得到控制。最后,通过实际轴承滚道外圈加工,验证了该表面质量控制方法在超精加工中的有效性。
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来源期刊
International Journal of Abrasive Technology
International Journal of Abrasive Technology Engineering-Industrial and Manufacturing Engineering
CiteScore
0.90
自引率
0.00%
发文量
13
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