| Autor: |
Molchanov Alexander A., Zayatzev Andrey N., Alexandrova Yulia P. |
| Jazyk: |
English<br />French |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
E3S Web of Conferences, Vol 390, p 06009 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2267-1242 |
| DOI: |
10.1051/e3sconf/202339006009 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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