Deltombe R, Kubiak K J, Bigerelle M
Laboratoire LAMIH CNRS UMR, Université de Valenciennes et du Hainaut-Cambrésis, Valenciennes Cedex, France.
Scanning. 2014 Jan-Feb;36(1):150-60. doi: 10.1002/sca.21113. Epub 2013 Aug 22.
In order to conduct a comprehensive roughness analysis, around sixty 3D roughness parameters are created to describe most of the surface morphology with regard to specific functions, properties or applications. In this paper, a multiscale surface topography decomposition method is proposed with application to stainless steel (AISI 304), which is processed by rolling at different fabrication stages and by electrical discharge tool machining. Fifty-six 3D-roughness parameters defined in ISO, EUR, and ASME standards are calculated for the measured surfaces. Then, expert software "MesRug" is employed to perform statistical analysis on acquired data in order to find the most relevant parameters characterizing the effect of both processes (rolling and machining), and to determine the most appropriate scale of analysis. For the rolling process: The parameter Vmc (the Core Material Volume--defined as volume of material comprising the texture between heights corresponding to the material ratio values of p = 10% and q = 80%) computed at the scale of 3 µm is the most relevant parameter to characterize the cold rolling process. For the EDM Process, the best roughness parameter is SPD that represents the number of peaks per unit area after segmentation of a surface into motifs computed at the scale of 8 µm.
为了进行全面的粗糙度分析，创建了大约60个三维粗糙度参数，以根据特定功能、特性或应用来描述大部分表面形态。本文提出了一种多尺度表面形貌分解方法，并将其应用于不锈钢（AISI 304），该不锈钢在不同制造阶段通过轧制以及电火花加工进行处理。针对测量表面计算了ISO、EUR和ASME标准中定义的56个三维粗糙度参数。然后，使用专业软件“MesRug”对获取的数据进行统计分析，以便找到表征这两种工艺（轧制和加工）效果的最相关参数，并确定最合适的分析尺度。对于轧制工艺：在3 µm尺度下计算的参数Vmc（核心材料体积——定义为包含高度介于对应材料比率值p = 10%和q = 80%之间的纹理的材料体积）是表征冷轧工艺的最相关参数。对于电火花加工工艺，最佳粗糙度参数是SPD，它表示在8 µm尺度下将表面分割成图案后单位面积内的峰值数量。
