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Modelling of cutting induced workpiece temperatures for dry milling

Richardson, D. J.; Keavey, M. A.; Dailami, F.

Authors

D. J. Richardson

M. A. Keavey

Farid Dailami Farid.Dailami@uwe.ac.uk
Associate Professor in Knowledge Exch in Manufact



Abstract

A thermal model has been developed that predicts machining induced workpiece temperatures for peripheral milling. The model was developed to determine the magnitude and distribution of workpiece temperatures for dry milling of aerospace aluminium alloys. The analytical model incorporates elements of the physical nature of the metal cutting process with analytical approaches developed for grinding to produce a peripheral milling thermal model that is directly applicable to industry. Test and model results show that cutting induced workpiece heating reduces significantly as cutting speed and feedrates are increased. The research suggests that dry machining of aluminium should be carried out at high cutting speeds and feeds to minimise temperature rise in the workpiece. © 2005 Elsevier Ltd. All rights reserved.

Citation

Richardson, D. J., Keavey, M. A., & Dailami, F. (2006). Modelling of cutting induced workpiece temperatures for dry milling. International Journal of Machine Tools and Manufacture, 46(10), 1139-1145. https://doi.org/10.1016/j.ijmachtools.2005.08.008

Journal Article Type Article
Publication Date Aug 1, 2006
Journal International Journal of Machine Tools and Manufacture
Print ISSN 0890-6955
Publisher Elsevier
Peer Reviewed Not Peer Reviewed
Volume 46
Issue 10
Pages 1139-1145
DOI https://doi.org/10.1016/j.ijmachtools.2005.08.008
Keywords thermal modelling, high-speed machining, dry machining
Public URL https://uwe-repository.worktribe.com/output/1041816
Publisher URL http://dx.doi.org/10.1016/j.ijmachtools.2005.08.008
Additional Information Additional Information : Research to reduce financial and environmental cost of high integrity airframe components by eliminating the need for cutting fluid for both cooling and lubrication. PhD supported by Airbus UK, Bristol, contact Dr S Wei-Ming. Results are being used by Airbus in their high-speed machining programme.