Issue |
MATEC Web Conf.
Volume 346, 2021
International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2021)
|
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Article Number | 03043 | |
Number of page(s) | 9 | |
Section | Mechanical Engineering | |
DOI | https://doi.org/10.1051/matecconf/202134603043 | |
Published online | 26 October 2021 |
Informativity of the Vibration Signal of the Spindle Unit of the Metal Cutting Machine
Samara State Technical University, Samara, Russian Federation
* Corresponding author: sammortor@yandex.ru
Monitoring the condition of the spindle units of modern metal-cutting machines by methods of non-selective diagnostics involves the possibility of installing monitoring sensors in places with maximum vibration information. In this regard, the assessment of the informative value of the vibration field of the spindle unit, which can be carried out in advance, taking into account the design features, geometric and dimensional characteristics, is an urgent task. Based on the energy approach, a computational model based on the median planes of the walls is proposed using the example of a universal lathe spindle unit. On the basis of the calculated model, the energy balance equations are drawn up taking into account the conditions for the transmission of vibration power between the walls of the housing. The dependences that allow us to calculate the coefficients that take into account the absorption of vibration energy by the walls of the housing are given. The solution of the energy balance equations made it possible, based on the level of the vibration power flow, to rank the walls of the spindle unit body by information content,. The resulting model of the vibration field can be used to determine the reference values of vibration velocities that are formed from sources in the absence of defects. This will allow for non-selective diagnostics to detect the occurrence of a defect at an early stage, and in the presence of a defect to assess the level of its development.
© The Authors, published by EDP Sciences, 2021
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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