CSCSTI 55.01 CSCSTI 55.13

CURRENT ASPECTS IN AUTOMATION OF SCIENTIFIC RESEARCHES OF MACHINERY SURFACE QUALITY USING MACHINE LEARNING METHODS Current aspects in automation of scientific researches of machinery surface quality using machine learning methods

Published in Science intensive technologies in mechanical engineering · Volume 2021, Issue 7 · Pages 12–19 · Rubric: TECHNOLOGICAL PROCESSES AUTOMATED CONTROL
DOI: https://doi.org/10.30987/2223-4608-2021-7-12-19
Received: 02.07.2021 Accepted: 01.12.2025
A procedure is shown for the analysis of material structure in the parts surface layer manufactured through ion-plasma sputtering allowing the allocation and estimate automatically layers according to dislocation uniformity. A procedure is offered for the assessment of surface roughness on the basis of probabilistic-statistic classification of Talyrond trace allowing the definition and estimate automatically the peculiarities of a surface profile.
surface quality, scientific research automation, material structure, roughness, machine learning
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