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<p>These data were collected to systematically characterize the relationship between 3D surface topography and dry sliding friction behavior for 32 distinct micro-milled textures on hardened X153CrMoV12 tool steel. The dataset was designed to provide a comprehensive experimental basis for understanding running-in behavior and orientation-dependent friction. It is intended to support the development of advanced numerical simulations in lubricant-free forming applications. The dataset includes 96 high-resolution confocal laser scanning microscopy images that are presented along with their milling parameters and selected ISO 25178 areal roughness parameters. These are linked to tribological data from unidirectional linear scratch tests (1 N load, 50 cycles) conducted at perpendicular sliding orientations. The records contain raw friction logs, a processed steady-state friction table, a representative validation plot, and the Python code used for data extraction. All files, including a detailed methodology document, are openly available on the Zenodo repository. By providing an entire characterization parameter sequence (from milling to friction results), this dataset provides a comprehensive view.</p>

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Dataset on Surface Topographies Prepared by Micro-Milling and Their Friction Coefficients in Dry Sliding

  • 期刊论文

  • 发表日期：

    2026年7月16日

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  • Burçak Avcı,
  • Pooria Farahani,
  • Oltmann Riemer,
  • Bernhard Karpuschewski,
  • Andreas Mehner

摘要

These data were collected to systematically characterize the relationship between 3D surface topography and dry sliding friction behavior for 32 distinct micro-milled textures on hardened X153CrMoV12 tool steel. The dataset was designed to provide a comprehensive experimental basis for understanding running-in behavior and orientation-dependent friction. It is intended to support the development of advanced numerical simulations in lubricant-free forming applications. The dataset includes 96 high-resolution confocal laser scanning microscopy images that are presented along with their milling parameters and selected ISO 25178 areal roughness parameters. These are linked to tribological data from unidirectional linear scratch tests (1 N load, 50 cycles) conducted at perpendicular sliding orientations. The records contain raw friction logs, a processed steady-state friction table, a representative validation plot, and the Python code used for data extraction. All files, including a detailed methodology document, are openly available on the Zenodo repository. By providing an entire characterization parameter sequence (from milling to friction results), this dataset provides a comprehensive view.