Sims, N.D. (2015) Fast chatter stability prediction for variable helix milling tools. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science . Published online before print May 12, 2015. ISSN 0954-4062
Abstract
Regenerative chatter is a well-known form of self-excited vibration that limits the productivity of machining operations, in particular for milling. Variable helix tools have been previously proposed as a means of avoiding regenerative chatter, and although recent work has analysed the stability of such tools there has not always been a strong agreement with experimentally observed behaviour. Furthermore, the analysis of variable helix tool stability can be tedious and numerically slow, compared to standard tools. Consequently it has been difficult to gain insight into the potential advantages of variable helix tools. The present work attempts to address these issues, by first developing an efficient approach to variable helix tool stability based upon the Laplace transform. Then, this new analysis method is used to demonstrate the importance of multi-frequency effects and nonlinear cutting stiffness. The work suggests that whilst variable-helix tools can have more operating regions that are stable, un-modelled behaviour (such as nonlinearity and multi-frequency effects) can have a critical influence on the accuracy of model predictions.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2015 Sage. This is an author produced version of a paper subsequently published in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 19 May 2015 12:48 |
Last Modified: | 22 Mar 2018 06:22 |
Published Version: | http://dx.doi.org/10.1177/0954406215585367 |
Status: | Published |
Publisher: | Sage |
Identification Number: | 10.1177/0954406215585367 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:86212 |