Podulka Przemysław
Department of Manufacturing and Production Engineering, Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, Powstancow Warszawy 12 Str, PL-35959 Rzeszow, Poland.
Materials (Basel). 2022 Jul 24;15(15):5137. doi: 10.3390/ma15155137.
There are many factors influencing the accuracy of surface topography measurement results: one of them is the vibrations caused by the high-frequency noise occurrence. It is extremely difficult to extract results defined as noise from the real measured data, especially the application of various methods requiring skilled users and, additionally, the improper use of software may cause errors in the data processing. Accordingly, various thresholding methods for the minimization of errors in the raw surface topography data processing were proposed and compared with commonly used (available in the commercial software) techniques. Applied procedures were used for the minimization of errors in the surface topography parameters (from ISO 25178 standard) calculation after the removal and reduction, respectively, of the high-frequency noise (S-filter). Methods were applied for analysis of the laser-textured surfaces with a comparison of many regular methods, proposed previously in the commercial measuring equipment. It was found that the application of commonly used algorithms can be suitable for the processing of the measured data when selected procedures are provided. Moreover, errors in both the measurement process and the data processing can be reduced when thresholding methods support regular algorithms and procedures. From applied, commonly used methods (regular Gaussian regression filter, robust Gaussian regression filter, spline filter and fast Fourier transform filter), the most encouraging results were obtained for high-frequency noise reduction in laser-textured details when the fast Fourier transform filter was supported by a thresholding approach.
其中之一是高频噪声产生所引起的振动。从实际测量数据中提取被定义为噪声的结果极其困难，尤其是各种方法的应用需要熟练的使用者，此外，软件使用不当可能会导致数据处理出现错误。因此，提出了各种用于最小化原始表面形貌数据处理中误差的阈值方法，并与常用的（商业软件中可用的）技术进行了比较。应用的程序分别用于在去除和降低高频噪声（S滤波器）后最小化表面形貌参数（来自ISO 25178标准）计算中的误差。应用这些方法对激光纹理表面进行分析，并与商业测量设备中先前提出的许多常规方法进行比较。结果发现，当提供选定的程序时，应用常用算法可能适合处理测量数据。此外，当阈值方法支持常规算法和程序时，测量过程和数据处理中的误差都可以减少。从应用的常用方法（常规高斯回归滤波器、稳健高斯回归滤波器、样条滤波器和快速傅里叶变换滤波器）来看，当快速傅里叶变换滤波器辅以阈值方法时，在激光纹理细节的高频噪声降低方面获得了最令人鼓舞的结果。
