Duboust, N., Pinna, C., Ghadbeigi, H. et al. (4 more authors) (2017) 2D and 3D Finite Element models for the edge trimming of CFRP. In: Outeiro, J. and Poulachon, G., (eds.) Procedia CIRP. 16th CIRP Conference on Modelling of Machining Operations (16th CIRP CMMO), June 15-16, 2017, Cluny, France. Elsevier , pp. 233-238.
Abstract
2D and 3D finite element models were developed to simulate the machining of CFRP with different levels of tool wear. Models were validated by edge trimming experiments on a uni-directional laminate at different fibre orientations using a three flute PCD milling tool. MSC Marc was used to develop the model and in conjunction with a Hashin damage material model. Modelling results are validated according to measured cutting forces at different cutting speeds and feed rates. A percentage difference of +10% and +5% was calculated for the 3D model for Fx and Fy respectively, while a percentage difference of -9% and -50% was found for the 2D model. Tool wear was found to have a significant effect on measured cutting forces.
Metadata
Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 The Author(s). Published by Elsevier B.V. | ||||
Keywords: | Carbon Fibre; Composite Machining; Edge Trimming; FE Modelling; Numerical Modelling | ||||
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Institution: | The University of Sheffield | ||||
Academic Units: | The University of Sheffield > AMRC Group (Sheffield) > AMRC Composites Centre (Sheffield) The University of Sheffield > University of Sheffield Research Centres and Institutes > AMRC with Boeing (Sheffield) The University of Sheffield > AMRC Group (Sheffield) > AMRC with Boeing (Sheffield) The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
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Depositing User: | Symplectic Sheffield | ||||
Date Deposited: | 25 Jul 2017 15:40 | ||||
Last Modified: | 25 Jul 2017 15:52 | ||||
Published Version: | https://doi.org/10.1016/j.procir.2017.03.217 | ||||
Status: | Published | ||||
Publisher: | Elsevier | ||||
Refereed: | Yes | ||||
Identification Number: | https://doi.org/10.1016/j.procir.2017.03.217 | ||||
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