Ghadbeigi, H. orcid.org/0000-0001-6048-9408, Taghizadeh, S., Ayvar-Soberanis, S. orcid.org/0000-0002-1899-9743 et al. (1 more author) (2024) An analytical power-based approach to predict orthogonal cutting force for sintered Al2124/SiC metal matrix composite. CIRP Annals, 73 (1). pp. 49-52. ISSN: 0007-8506
Abstract
This paper presents a new analytical model for prediction of cutting forces in binary materials such as metal matrix composites (MMC) based on the cutting power. The model considers the effect of matrix shearing, reinforcement particles fracture and debonding as well as frictional contact between the tool and the particles to predict cutting forces required to form free surfaces. Linear orthogonal cutting on Al2124-SiC MMC with different cutting speed and depth of cuts were performed. The developed model shows a better performance compared with other available models in the literature to predict cutting forces while the experimental results reveal shearing and fracture as the main chip formation mechanism.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2024 The Author(s). This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) |
| Keywords: | Cutting; Modelling; Metal matrix composite |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > School of Mechanical, Aerospace and Civil Engineering The University of Sheffield > University of Sheffield Research Centres and Institutes > AMRC with Boeing (Sheffield) The University of Sheffield > Advanced Manufacturing Institute (Sheffield) > AMRC with Boeing (Sheffield) The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
| Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council EP/V055011/1 |
| Date Deposited: | 22 Oct 2025 13:30 |
| Last Modified: | 22 Oct 2025 13:30 |
| Status: | Published |
| Publisher: | Elsevier BV |
| Refereed: | Yes |
| Identification Number: | 10.1016/j.cirp.2024.04.045 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:233347 |

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