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
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Editors: |
|
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 |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Advanced Manufacturing Institute (Sheffield) > AMRC Composites Centre (Sheffield) 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 High Value Manufacturing Catapult AI2702 |
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: | 10.1016/j.procir.2017.03.217 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:119378 |