Tagiuri, Zakaria Ahmed M., Dao, Thien-My, Samuel, Agnes Marie and Songmene, Victor.
2022.
« A numerical model for predicting the effect of tool nose radius on machining process performance during orthogonal cutting of AISI 1045 Steel ».
Materials, vol. 15, nº 9.
Compte des citations dans Scopus : 14.
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Abstract
This paper presents the development of a numerical model for predicting and studying the effects of tool nose geometries and its interactions with cutting parameters during orthogonal cutting of AISI 1045 steel. The process performance characteristics studied were cutting temperature, effective stress, cutting forces and tool wear. The cutting simulations were done using the commercial DEFORM-2D R V 11.3 software, based on the finite element method (FEM). The cutting tool used had a round nose with various nose radii (0.01–0.9 mm), while the machining parameters tested were the feed rate (0.1–0.3 mm/rev), the cutting speed (100–500 m/min) and the rake angle (–5◦ to +10◦). The interactions between the tool nose radius and the cutting parameters (speed, feed) were found to affect mostly the cutting stress and, slightly, the tool wear rate. These interactions did not much influence the cutting temperature, that was found to be high when the tool nose radius and/or the cutting speed were high. The maximum temperature was found to occur at the middle of the tool-chip contact length and at the interaction of nose radius and flank face of the tool. Except for some fluctuations, there was no significant difference in tool wear rate between small and large nose radius scales.
| Item Type: | Peer reviewed article published in a journal |
|---|---|
| Professor: | Professor Dao, Thien-My Songmene, Victor |
| Affiliation: | Génie mécanique, Génie mécanique |
| Date Deposited: | 11 Jul 2022 19:08 |
| Last Modified: | 13 Apr 2023 16:08 |
| URI: | https://espace2.etsmtl.ca/id/eprint/24910 |
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