| Issue |
MATEC Web Conf.
Volume 290, 2019
9th International Conference on Manufacturing Science and Education – MSE 2019 “Trends in New Industrial Revolution”
|
|
|---|---|---|
| Article Number | 01009 | |
| Number of page(s) | 9 | |
| Section | Design, Manufacturing and Management of Technological Equipment and Systems | |
| DOI | https://doi.org/10.1051/matecconf/201929001009 | |
| Published online | 21 August 2019 | |
A study of thermo-elastic characteristics of the machine tool spindle
1 University of Novi Sad, Faculty of Technical Science, Trg D. Obradovica 6, Novi Sad 21000, Serbia
2 University „Lucian Blaga” of Sibiu, Department of Industrial Engineering and Menagment, 10, Victoriei Bd., Sibiu, 550024, România
* Corresponding author: acoz@uns.ac.rs
In order to avoid the failure of machine tools spindles in the real machining process due to an increase in temperature, it is essential to predict its thermal behavior in the designing phase. The characteristics of machine tools significantly depend on the thermal-elastic behavior of the spindle. These parameters directly affect the productivity and quality of machining operations. This paper presents a thermal - elastic model of the machine tool spindle which was based on the quasi-static model of bearings and the finite element (FE) model of the spindle shaft. Based on quasi-static model of bearings with angular contact, heat generated and thermal contact resistances (TCR) are determined for each position of the balls. The aforementioned constraints have been applied to the 3D FE model of the spindle which allowed for establishing non-stationary change of temperature and thermal deformation. In order to prove the efficacy of the proposed model, experimental measurements of spindle and bearing temperatures were done using thermocouples and thermal imager.
© The Authors, published by EDP Sciences, 2019
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.