Authors: V.E. Ovsyannikov, R.Yu. Nekrasov, I.M. Kovensky

Title of the article: Prospects for using vibroacoustic signals for active wave control in CNC machines

Year: 2023, Issue: 5, Pages: 15-22

Branch of knowledge: 2.5.5. Technology and equipment for mechanical and physical-technical processing

Index UDK: 621.19

DOI: 10.26730/1999-4125-2023-5-15-22

Abstract: This article is devoted to the issues of automatic provision of surface layer parameters, specifically surface waviness. When machining on numerically controlled machines, the method of obtaining the required output parameters by means of machine setup is used (i.e., obtaining the output parameters is implemented automatically). However, fluctuations in the normal process flow cause defects. Therefore, in order to reliably ensure the specified parameters of machining quality, including waviness, it is necessary to implement automatic control. The article considers the possibility of using the vibroacoustic signal as a diagnostic sign, which can be used to estimate the parameters of waviness during machining on numerically controlled machine tools. Turning machining is taken as the initial one. In this case, the formation of waviness is considered in terms of the cybernetic approach with the separation of the profile into systematic and random components. The systematic component is formed mainly under the influence of the kinematics of the cutting process and cutting tool geometry. The random component is primarily caused by vibrations of the process system. Structural steels are considered as machined materials. The texture of the surface undulation profile was analyzed, which showed that it is dominated by the component that is generated by the low-frequency component of vibrations of the technological system. The profile analysis was performed using correlation analysis and fractal geometry techniques. Through correlation analysis, the level of the random component was calculated. In fractal analysis, the dimensionality value was calculated through its conjugate value - Hurst index. The choice of the frequency range of the vibration signal, which has the greatest informativeness in the part of undulations estimation, was justified. The justification of using the Hurst index (determined by the vibration signal) as an estimation parameter for active control of waviness is also given.

Key words: waviness texture vibrations signal turning

Receiving date: 29.08.2023

Approval date: 20.11.2023

Publication date: 30.11.2023

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