| Issue |
E3S Web Conf.
Volume 592, 2024
International Scientific Conference Energy Management of Municipal Facilities and Environmental Technologies (EMMFT-2024)
|
|
|---|---|---|
| Article Number | 05025 | |
| Number of page(s) | 10 | |
| Section | Mining, Geology, Geodesy, and Environmental Monitoring | |
| DOI | https://doi.org/10.1051/e3sconf/202459205025 | |
| Published online | 20 November 2024 | |
Modelling of cutting process dynamics and tool wear prediction in turning
Don State Technical University, 344000 Gagarin Square, 1, Russia
* Corresponding author: vvgvindjiliya@donstu.ru
The turning process is always accompanied by vibrations from the tool and spindle assembly, which directly influence on the surface quality and tool wear. At the same time, tool wear and vibrations are in a nonlinear relationship, causing mutual influence on each other. The paper proposes to model the dynamics of the cutting process taking into account the influence of elastic deformation displacements of the tool, perturbing vibration effects and the evolution of tool wear depending on the power trajectory of irreversible transformations. The aim of the study is to improve the efficiency of the turning process based on the identification of critical tool wear using a numerical simulation model. The simulation results are compared with experimental data from durability tests on a workpiece made of high-alloy heat-resistant steel. The vibration activity of the tool during the transition from the area of stabilisation of the cutting process to the zone of intensification of tool wear is analysed for simulation and experimental.
© The Authors, published by EDP Sciences, 2024
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.