Sun, C., Kengne, P.L.F., Barrios, A. et al. (2 more authors) (2019) Form error prediction in robotic assisted milling. In: Ozturk, E., Mcleay, T. and Msaoubi, R., (eds.) Procedia CIRP. 17th CIRP Conference on Modelling of Machining Operations (17th CIRP CMMO), 13-14 Jun 2019, Sheffield, UK. Elsevier , pp. 491-496.
Abstract
Robotic assisted milling is a process where a robot supports a workpiece while a machine tool cuts the workpiece. It can be used to suppress vibrations and minimize form errors in thin wall workpieces. In this paper, form error on a workpiece is simulated using a static force model, a frequency domain model and a hybrid model while a robot supports the workpiece from the other side. Machining results show that assistance of the robot has a considerable effect of the magnitude of form errors. Hence, support force should be carefully selected by simulation before machining. Finally, simulation results show that hybrid model gives the best fit among those three models.
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: | © 2019 The Authors. This is an author produced version of a paper subsequently published in Procedia CIRP. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | robotic assisted milling; form error; thin-wall machining |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Advanced Manufacturing Institute (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 21 Nov 2019 10:19 |
Last Modified: | 21 Nov 2019 10:19 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.procir.2019.04.335 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:153687 |