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Experimental study on the tribo-chemical smoothening process between self-mated silicon carbide in a water-lubricated surfacecontact reciprocating test

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Friction 2019年第2期7卷 181-191页

作者： Le JIN Herbert SCHEERER Georg ANDERSOHN Matthias OECHSNER Dieter HELLMANN Center for Structural Materials Technische Universit?t Darmstadt KSB

Silicon carbide(SiC) can be tribo-chemically smoothened during a self-mated sliding procedure in the aqueous environment. As well reported in the point-contact tests, this smoothening process works well due to the abundant water as oxidant. After this smoothening process, the tribo-surface is well polished, a closely mated tribo-gap naturally forms, and an ultra-low friction state is built. However, water in the tribo-gap could be insufficient in industrial applications, e.g., the seal gap in mechanical seals. In this study, the tribo-chemical smoothening behavior in such environment was researched. A surface-contact reciprocating test was used to simulate the aqueous environment where water was insufficient. After tests, compared to the published results from the point-contact tests, the same ultra-low friction state was achieved. A part of the tribo-surface was tribo-chemically smoothened. The obtained smoothened surface microstructure was consistent with the published information. Meanwhile, severe abrasive wear occurred. A porous oxygen-rich layer was found existing beneath the abrasion-induced grooves, in which numerous smashed wear debris adhered on the worn surfaces. We concluded that the shortage of water initiated the severe abrasion, meanwhile the generated wear debris aggravated the wear condition. This understanding is instructive for developing new methods to avoid the severe abrasion in the same water insufficient environment.

关键词： silicon carbide surface-contact sliding friction tribo-chemical smoothening abrasion ultra-low friction mechanical seal

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A Robust Statistical Method for Measurement Data Filtering and smoothening

A Robust Statistical Method for Measurement Data Filtering a...

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全国第十五届计算机科学与技术应用学术会议

作者： Kelvin Wang Inspection ＆ Manufacturing Technologies GE Global Research Center421 Hong Cao RoadShanghai 200233China

＜正＞This paper presents a robust statistical method for measurement data filtering and smoothening. This method can be used to filter out initial measurement noise based on the error statistics of the original dataset and user specified sigma level, smoothen the dataset and export the resultant dataset for inspection planning. This method works under two typical applications. First, if nominal curves exist, noisy data are rejected based on the deviation statistics with respect to the nominal curves and specified sigma level. New data are generated based on the nominal curves to fill the gaps and smoothen the original dataset. Secondly, if no nominal curve exists, a set of initial B-spline curves are fitted and these curves are used to process the measurement data as in the first application. The resultant dataset after robust statistical filtering and smoothening can be used for inspection planning and makes the measurement process repeatable and stable.

关键词： robust statistical method filtering smoothening

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