Issue |
Mechanics & Industry
Volume 21, Number 6, 2020
|
|
---|---|---|
Article Number | 615 | |
Number of page(s) | 14 | |
DOI | https://doi.org/10.1051/meca/2020087 | |
Published online | 04 December 2020 |
Regular Article
A three-dimensional finite element-approach to investigate the optimum cutting parameters in machining AA2024
1
Department of Mechanical and Materials Engineering, University of Jeddah, Jeddah 21589, Saudi Arabia
2
Mechanical Engineering Department, Prince Mohammad Bin Fahd University, AlKhobar 31952, Saudi Arabia
* e-mail: mdanish@uj.edu.sa
Received:
27
June
2020
Accepted:
2
November
2020
This research work presents a numerical study of the orthogonal cutting process employing a finite element approach to optimize dry machining of aluminium alloy 2024. The main objective of the research work is to perform three-dimensional finite element simulations for a better understanding of temperature distribution and residual stresses development in the workpiece and tool regions along depth of cut direction. While, two-dimensional models don't predict true picture of aforesaid parameters along cutting depth due to material's out of plane flow and deformation. In the present study, effects of tool rake angles (7°, 14°, 21°) and cutting speeds (200, 400, 800 m/min) upon variations in chip geometry at various sections along workpiece width (depth of cut) have been discussed at large. Furthermore, cutting forces and tool-workpiece temperature profiles are also in depth analysed. The findings will lead the manufacturers to better decide post machining processes like heat treatment, deburring, surface treatments, etc. The results showed that a combination of a rake angle of 14° at cutting velocity of 800 m/min produces serrated chip segments with relatively moderate cutting forces in comparison to other parametric combinations. The efficacy of the presented finite element model is verified by comparing the numerically obtained results with experimental ones.
Key words: Finite element analysis / damage evolution / machining process / material modelling / AA2024
© AFM, EDP Sciences 2020
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