An analytical model for predicting specific cutting energy in whirling milling process
- Submitting institution
-
University of Brighton
- Unit of assessment
- 12 - Engineering
- Output identifier
- 7154431
- Type
- D - Journal article
- DOI
-
10.1016/j.jclepro.2019.118181
- Title of journal
- Journal of Cleaner Production
- Article number
- 118181
- First page
- 1
- Volume
- 240
- Issue
- -
- ISSN
- 0959-6526
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
7
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Improving the energy efficiency (typically below 30%) of machining processes requires detailed understanding of the specific cutting energy (SCE). This paper is significant because it proposes for the first time an analytical model for predicting the SCE of the complex thread whirling milling process. This predictive model was validated against experimental measurements, and the research demonstrated that it can be used to minimise the energy requirement and optimise the material removal rate, revealing the optimal conditions for thread whirling mills.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -