MATEC Web Conf.
Volume 224, 2018International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2018)
|Number of page(s)||6|
|Section||Manufacturing Technologies, Tools and Equipment|
|Published online||30 October 2018|
Vibrations reduction in milling by using singular spectral analysis
Bauman Moscow State Technical University, 5/1, Ul. Baumanskaya 2-ya, Moscow 105005, Russia
* Corresponding author: firstname.lastname@example.org
The main issue which limits the milling process efficiency is the emergence of the self-excited vibrations (“chatter”) during milling. The system “tool-workpiece” autooscillations lead to more rapid tool and machine units deterioration, the decrease in quality of the machined surface. The methodology of the self-excited vibrations detection during milling, which allows to choose the most favorable and efficient modes (free of “chatter”), is represented in this article. This methodology is based on the singular spectral analysis of the system acceleration signals. The methodology is tested out on the example of flat milling. The system “tool-workpiece” accelerations signals were received using the special-purpose software 3DCUT. The “map of modes” was drawn and the most favorable mode of milling were chosen as a result of the analysis of the system accelerations signals.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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