Quantification of the Morphological Signature of Roping Based on Multiscale Analysis and Autocorrelation Function Description - Archive ouverte HAL Access content directly
Journal Articles Materials Year : 2020

Quantification of the Morphological Signature of Roping Based on Multiscale Analysis and Autocorrelation Function Description

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Abstract

Roping or ridging is a visual defect affecting the surface of ferritic stainless steels, assessed using visual inspection of the surfaces. The aim of this study was to quantify the morphological signature of roping to link roughness results with five levels of roping identified with visual inspection. First, the multiscale analysis of roughness showed that the texture aspect ratio Str computed with a low-pass filter of 32 µm gave a clear separation between the acceptable levels of roping and the non-acceptable levels (rejected sheets). To obtain a gradation description of roping instead of a binary description, a methodology based on the use of the autocorrelation function was created. It consisted of several steps: a low-pass filtering of the autocorrelation function at 150 µm, the segmentation of the autocorrelation into four stabilized portions, and finally, the computation of isotropy and the root-mean-square roughness Sq on the obtained quarters of function. The use of the isotropy combined with the root-mean-square roughness Sq led to a clear separation of the five levels of roping: the acceptable levels of roping corresponded to strong isotropy (values larger than 10%) coupled with low root-mean-square roughness Sq. Both methodologies can be used to quantitatively describe surface morphology of roping in order to improve our understanding of the roping phenomenon.
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Origin : Publication funded by an institution
Licence : CC BY - Attribution

Dates and versions

hal-02968738 , version 1 (25-04-2022)

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Attribution - CC BY 4.0

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Julie Marteau, Raphaël Deltombe, Maxence Bigerelle. Quantification of the Morphological Signature of Roping Based on Multiscale Analysis and Autocorrelation Function Description. Materials, 2020, 13 (13), pp.3040. ⟨10.3390/ma13133040⟩. ⟨hal-02968738⟩
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