Issue |
E3S Web Conf.
Volume 391, 2023
4th International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2023)
|
|
---|---|---|
Article Number | 01077 | |
Number of page(s) | 17 | |
DOI | https://doi.org/10.1051/e3sconf/202339101077 | |
Published online | 05 June 2023 |
An overview of material removal processes and its importance
1 Department of Mechanical and Mechatronics Engineering, Afe Babalola University, Ado-Ekiti, P.M.B. 5454, Nigeria
2 Department of Mechanical Engineering Science, University of Johannesburg, 2092, South Africa
3 Department of Physics. Bowen University. Iwo. Nigeria
* Corresponding Author: kayodejf@abuad.edu.ng
Good surface finishing, quality, and maximizing metal removal are characteristics feature of machining operation. The process variables affect the product’s surface roughness and rate of metal removal. Proper management of the process variables makes it easier to lower machining costs and enhance product quality. In order to get the best product, extensive research has been done previously to optimize the procedure specifications in any machining process. This paper studies how important the material removal process is, its benefits, and its relevancy in the manufacturing industries. The most recent turning process research uses the Response Surface Methodology (RMS). Process variables including feed, cutting speed, and depth of cut work well. In most circumstances, a technical need for mechanical products, the surface profile, and the roughness of a machined workpiece are two of the most significant product quality features. The necessary surface quality must be obtained for a part to function as intended. Finding a simple solution and a completely reliable approach is crucial due to the surface quality mechanism’s process dependence and the various uncontrollable elements that affect relevant phenomena.
Key words: material / processes / feed / speed / depth of cut
© The Authors, published by EDP Sciences, 2023
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.