Berglind, L., Plakhotnik, D. and Ozturk, E. orcid.org/0000-0001-9982-2837 (2017) Discrete Cutting Force Model for 5-Axis Milling with Arbitrary Engagement and Feed Direction. In: Outeiro, J. and Poulachon, G., (eds.) Procedia CIRP. 16th CIRP Conference on Modelling of Machining Operations (16th CIRP CMMO), 15-16 Jun 2017, Cluny, France. Elsevier , pp. 445-450.
Abstract
5-axis machining operations bring new challenges for predicting cutting forces. Complex tool workpiece engagements and tool orientations make it difficult to adapt 3-axis process models for 5-axis operations. A new model is developed to predict cutting forces with arbitrary tool/workpiece engagement and tool feed direction. A discretization approach is used, in which the tool is composed of multiple cutting elements. Each element is processed to determine its effect on cutting forces, and global forces are determined by combining the elemental effects. Cutting tests are conducted to verify force predictions, where the tool/workpiece engagement is provided through a geometric software application.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Editors: |
|
Copyright, Publisher and Additional Information: | © 2017 The Author(s). Published by Elsevier B.V. This is an open access article available under the CC BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | Milling; Cutting Forces; Discretized Force Model |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | 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) |
Funding Information: | Funder Grant number European Commission Directorate-General for Research and Innovation 680725 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 20 Dec 2017 11:54 |
Last Modified: | 20 Dec 2017 11:54 |
Published Version: | https://doi.org/10.1016/j.procir.2017.03.250 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.procir.2017.03.250 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:125094 |