Duboust, N., Pinna, C. orcid.org/0000-0002-9079-1381, Ghadbeigi, H. orcid.org/0000-0001-6507-2353 et al. (4 more authors) (2019) FE modelling of CFRP machining- prediction of the effects of cutting edge rounding. Procedia CIRP, 82. pp. 59-64. ISSN 2212-8271
Abstract
Manufacturing of carbon fibre components for the aerospace industry often requires an edge trimming operation for pre-assembly. In CFRP machining it is necessary to have a sharp cutting edge to prevent machining defects such as fibre pull-out, surface pitting, matrix burning and un-cut fibres. Counter to this requirement, carbon fibres, which are highly abrasive, generate rapid rounding of the cutting tool edge. In this work, generated machining forces due to cutting edge rounding, in a milling process, will be predicted by numerical simulation for different cutting edge radius. Models have implemented adaptive convergence control and progressive re-meshing of the tool-chip interface. FE models have been applied successfully to predict the effects of machining parameters with an unworn cutting tool, with a maximum difference of 28 % between FE and experiment. However, the prediction of cutting force was found to be under-predicted for the used cutting tool condition.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Composite; Cutting Edge; Fibre Reinforced Plastic; FEM; Machining; Chip |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Funding Information: | Funder Grant number High Value Manufacturing Catapult AI2702 EPSRC Industrial Doctorate Centre in Machining Science EP/I01800X/1 Rolls-Royce N/A |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 16 Jul 2019 11:57 |
Last Modified: | 16 Jul 2019 11:57 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.procir.2019.04.037 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:148453 |
Download
Filename: Duboust et al 1-s2.0-S2212827119306511-main.pdf
Licence: CC-BY-NC-ND 4.0