Abstract
Problem Statement (Relevance): This article presents a study into how the parameter of surface roughness is formed in a technological system and provides an adequate representation of surface microtopography while enabling the prediction of possible changes. As the processes of cold rolling, heat treatment or skin passing are not allowed in strip production, it makes it a much greater challenge to monitor and control the surface microtopography, which presents a very important problem. Objectives: The objective is to develop and test a surface roughness management tool based on fractal structure and using hot-rolled pickled strip as a test material. Methods Applied: For the purpose of this study, samples of hot-rolled pickled strip of grades St3 and 08ps produced at Magnitogorsk Iron and Steel Works were examined, and the model of surface microtopography decomposed into fractal structures to be studied. It was proposed to apply Fourier transform as part of the the model basis. Scientists from Nosov Magnitogorsk State Technical University offered a new approach to the description of the parameter of surface roughness (Ra) which is based on the fractal structure. Originality: One of the original features of this research includes the application of the fractal structure when forming the "surface roughness" parameter for a hot-rolled pickled strip. Findings: The authors describe a new quality management tool, which basically is an algorithm for building the fractal structure of the surface roughness parameter. It was proved that the proposed approach provides a high convergence between calculated and actual values of the studied parameters. Practical Relevance: The new approach will enable to obtain the required surface microtopography in steel products.
Keywords
Surface roughness, quality indicators, fractal, fractal structure, Fourier transform, pickled steel strip.
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