OMKAR MYPATI Omkar.Mypati@nottingham.ac.uk
Research Fellow
Modelling and experimental study of laser-assisted milling of fibre reinforced SiC/Ti-6Al-4V metal matrix composite
Mypati, Omkar; Panzer, Jeriel; Robles-Linares, Jose A.; Zan, Shusong; Liao, Zhirong; Axinte, Dragos
Authors
Jeriel Panzer
Jose A. Robles-Linares
Shusong Zan
Dr. ZHIRONG LIAO ZHIRONG.LIAO@NOTTINGHAM.AC.UK
Associate Professor
DRAGOS AXINTE dragos.axinte@nottingham.ac.uk
Professor of Manufacturing Engineering
Abstract
Metal matrix composites (MMCs) offer unique advantageous mechanical properties by strengthening a ductile metal matrix with a ceramic reinforcement (e.g., Ti6Al-4 V/SiCf). However, their heterogeneous composition poses machining challenges including fibre pullout, matrix cracking, and increased tool wear. Whilst pre-heating via laser-assisted machining (LAM) shows promise for improving machinability, traditional LAM implementations with a fixed laser spot size and straight laser path prevent uniform heating. By introducing spatially and temporally controlled LAM that generates homogeneous heating by varying the laser scanning velocity, a technique called fully inverse LAM can be applied for MMCs. This involves calculating separate temperature fields for the matrix and reinforcement to minimise thermal mismatch stresses. The fully inverse LAM decreases subsurface cracks and delamination resulting from conventional milling, whilst localised matrix softening reduces cutting forces by over 62 %. Flank tool wear is also diminished, increasing tool life by 120 %. Material analysis reveals reduced machined surface damage, lower surface roughness, and less formation of intermetallic compounds (Ti2C) compared to traditional LAM.
Citation
Mypati, O., Panzer, J., Robles-Linares, J. A., Zan, S., Liao, Z., & Axinte, D. (2024). Modelling and experimental study of laser-assisted milling of fibre reinforced SiC/Ti-6Al-4V metal matrix composite. Materials and Design, 237, Article 112552. https://doi.org/10.1016/j.matdes.2023.112552
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 23, 2023 |
Online Publication Date | Dec 10, 2023 |
Publication Date | Jan 1, 2024 |
Deposit Date | Mar 8, 2024 |
Publicly Available Date | Mar 11, 2024 |
Journal | Materials and Design |
Print ISSN | 0264-1275 |
Electronic ISSN | 1873-4197 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 237 |
Article Number | 112552 |
DOI | https://doi.org/10.1016/j.matdes.2023.112552 |
Keywords | Mechanical Engineering; Mechanics of Materials; General Materials Science |
Public URL | https://nottingham-repository.worktribe.com/output/28434292 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S0264127523009681?via%3Dihub |
Files
1-s2.0-S0264127523009681-main
(24.7 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
You might also like
Chip Morphology Prediction in Inconel 718 Milling through Machine Learning to Control Surface Integrity
(-0001)
Presentation / Conference Contribution
Continuous trench, pulsed laser ablation for micro-machining applications
(2016)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search