Issue |
E3S Web of Conf.
Volume 390, 2023
VIII International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-VIII 2023)
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Article Number | 06009 | |
Number of page(s) | 5 | |
Section | Agricultural Mechanization, Civil Engineering and Energetics | |
DOI | https://doi.org/10.1051/e3sconf/202339006009 | |
Published online | 01 June 2023 |
Identification of the self-oscillating mode in metal-cutting machines in the production of agricultural machinery
1 Department of Machine Building, Bauman Moscow State Technical University, 5, Baumanskaya 2- ay st., Moscow, Russia
2 Scientific and Technical Institute of Interindustry Information, 22-1.2, Sorge st., Moscow, Russia
3 Department of General Engineering Training, Moscow Aviation Institute, 4, Volokolamskoe shosse, Moscow, Russia
* Corresponding author: alexandrmolchanov@inbox.ru
The production of modern agricultural machinery includes various technological chains machining workshops, consisting mostly of turning and milling machining centers. The influence of self-oscillations on the dynamic characteristics of mechanisms for various purposes is due to the increased requirements for the quality and reliability of products of modern machines and units. Timely detection and reduction of the impact of oscillatory processes makes it possible to qualitatively optimize the design of mechanisms. A special role in the process of operation is exerted by self-oscillations on metal-cutting machines in the processing of materials. The consequence of the self-oscillatory process is a violation of the performance of a metal-cutting machine, expressed in a parametric (accuracy) failure. In this paper, the possibility of using parametric spectral analysis for the early identification of a self-oscillating process in hexapod machine tools was evaluated, for which the objective function was determined, i.e. the value of the damping coefficient of the dynamic system.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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