El-Hofy, M., Helmy, M.O., Escobar-Palafox, G. et al. (3 more authors) (2018) Abrasive water jet machining of multidirectional CFRP laminates. In: Aranzabe, A., Maidagan, X. and Sanchez, J.A., (eds.) Procedia CIRP. 19th CIRP Conference on Electro Physical and Chemical Machining, 23-27 Apr 2017, Bilbao, Spain. Elsevier , pp. 535-540.
Abstract
Abrasive water jet machining (AWJM) is widely used in aerospace, marine and automotive industries for trimming composites. However, AWJM demonstrates some challenges when cutting carbon fibre reinforced plastic (CFRP) composites materials such as cut accuracy and quality. More experimental work is needed to provide sufficient machinability databases for manufacturing engineers. This paper presents an experimental study and statistical analysis for cutting 2 lay-up configurations of multidirectional CFRP laminates. Different AWJM conditions including jet pressure, feed rate, and standoff distance are experimented using full factorial design of experiments. Machining process responses such as top and bottom kerf width, kerf taper, machinability and surface characteristics have been evaluated using analysis of variance (ANOVA) technique. A process cost model for the AWJM is presented.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2018 The Authors. Published by Elsevier B.V . This is an open access article under the CC BY -NC-ND license (http://creativ ecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | CFRP; Composite; AWJ; Water jet; Cutting; Roughness; Machinability; Process Cost Model |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Advanced Manufacturing Institute (Sheffield) > AMRC Composites Centre (Sheffield) |
Funding Information: | Funder Grant number High Value Manufacturing Catapult AI2702 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 07 Aug 2018 09:40 |
Last Modified: | 07 Aug 2018 09:40 |
Published Version: | https://doi.org/10.1016/j.procir.2017.12.109 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.procir.2017.12.109 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:133564 |