Abstract
Digital processing of recorded measurement data on the milled surface can offer operators many possibilities in the planning metrological procedures processes and give more leeway in the final configuration of the surface geometrical structure condition. Review of the current state of knowledge revolving around surface characteristics, measurement uncertainty and their quality, and primarily reproducibility of measurements not only in the laboratory but also in the industrial environment poses a major challenge. The article presents research works related to the identification of the influence of the measurement data processing method using digital data processing of milled surface on the Sq parameter. The analysis of individual stages of measurement data processing showed the direct influence of data filtration methods on the values of the Sq parameter.
Highlights
Recording measurement data without errors in the shape of surface unevenness allows to opt out of digital processing of these data, so that the values of surface geometrical structure (SGP) parameters are free from random operator influence [1,2,3]
It was confirmed that changes in the Sq parameter are the result of choosing a specific method of digital measurement data processing, and a problem was found related to the significant impact of the operator on the final results of the measurement procedure
It is possible that the lack of repeatability of the measurement procedure will lead to complaints about production batches, which comply with the customer's specification
Summary
Recording measurement data without errors in the shape of surface unevenness allows to opt out of digital processing of these data, so that the values of surface geometrical structure (SGP) parameters are free from random operator influence [1,2,3]. The measurements were carried out in accordance with the fractional experiment plan developed It includes a strategy for processing measurement data for subsequent stages: cutting out the threshold values, leveling, removing the shape and filtering. The impact of individual data filtration methods on the value of Sq parameter, defined as the mean square deviation of surface roughness, was investigated: Sq. j=1 i=1 where: M · N – size of the sampling matrix, θ(xi, yj) – residual surface (bearing surface). The paper analyzes the Sq parameter, which is determined by the same algorithm as the average effective power of RMS electrical signals. This parameter effectively visualizes variability of the surface deviation from the mean plane. It is possible to detect interference and evaluate – by filtering – the "power loss" of the signal due to too strong distortion introduced
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