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Recognition and classification of shallow- and deep-remelting regime during laser polishing through a novel statistical and cross-sectional analysis approach

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Abstract

This work was focused on the recognition and classification of two coexisting laser remelting regimes – shallow- and deep-melting – by means of comparisons involving geometric properties extracted from metallographic cross-sections, statistical characteristics of initial and remelted surface topographies, and averaged roughness profiles. The attained results enable the ability to control and improve polishing techniques by selective regime polishing.

© 2021 The Author(s)

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