Kacalak Wojciech, Lipiński Dariusz, Szafraniec Filip, Wieczorowski Michał, Twardowski Paweł
Faculty of Mechanical Engineering, Koszalin University of Technology, Racławicka 15, 75-620 Koszalin, Poland.
Faculty of Mechanical Engineering, Institute of Applied Mechanics, Poznan University of Technology, 3 Piotrowo St., 60-965 Poznań, Poland.
Materials (Basel). 2023 Mar 9;16(6):2195. doi: 10.3390/ma16062195.
The paper presents probabilistic aspects of diagnostics of grinding processes with consideration of metrological aspects of evaluation of topography of machined surfaces and selected problems of assessment of machining accuracy. The processes of creating the geometric structure of the ground surface are described. It was pointed out that the distribution of features important for process diagnostics depends on the mechanism of cumulative effects of random disturbances. Usually, there is a multiplicative mechanism or an additive mechanism of the component vectors of relative displacements of the tool and workpiece. The paper describes a method for determining the classification ability of specific parameters used to evaluate stereometric features of ground surfaces. It is shown that the ability to differentiate the geometric structure of a certain set of surfaces using a selected parameter depends on the geometric mean of the differences in normalized and sorted, consecutive values of this parameter. A methodology is presented for evaluating the ability of various parameters to distinguish different geometric structures of surfaces. Further, on the basis of analyses of a number of grinding processes, a methodology was formulated for proceeding leading to a comprehensive evaluation of machining accuracy and forecasting its results. It was taken into account that in forecasting the accuracy of grinding, it is necessary to determine the deviations, arising under the conditions of multiplicative interaction of the effects of various causes of inaccuracy. Examples are given of processes in which, due to the deformation of the technological system, dependent on the position of the zone and machining force, varying temperature fields and tool wear, the distributions of dimensional deviations are not the realization of stationary processes. It was emphasized that on the basis of the characteristics of the dispersion of the deviation value in the sum set of elements, it is not possible to infer its causes. Only the determination of the "instantaneous" values of the deviation dispersion parameters allows a more complete diagnosis of the process.
本文介绍了磨削过程诊断的概率方面，同时考虑了加工表面形貌评估的计量学方面以及加工精度评估的若干问题。描述了磨削表面几何结构的形成过程。指出对过程诊断重要的特征分布取决于随机干扰的累积效应机制。通常，刀具与工件相对位移的分量向量存在相乘机制或相加机制。本文描述了一种确定用于评估磨削表面立体特征的特定参数分类能力的方法。结果表明，使用选定参数区分某组表面几何结构的能力取决于该参数归一化和排序后的连续值之差的几何平均值。提出了一种评估各种参数区分不同表面几何结构能力的方法。此外，在对多个磨削过程进行分析的基础上，制定了一种方法，用于对加工精度进行综合评估并预测其结果。考虑到在预测磨削精度时，有必要确定在各种误差原因的相乘相互作用条件下产生的偏差。给出了一些过程的示例，在这些过程中，由于工艺系统的变形（取决于加工区域位置和加工力、变化的温度场以及刀具磨损），尺寸偏差分布并非平稳过程的实现。强调仅根据元素总和集中偏差值的离散特性，无法推断其原因。只有确定偏差离散参数的“瞬时”值，才能更全面地诊断过程。
