A Monte-Carlo Analysis of the Effects of Geometric Deviations on the Performance of Magnetic Gears
- Submitting institution
-
University of Bristol
- Unit of assessment
- 12 - Engineering
- Output identifier
- 243482008
- Type
- D - Journal article
- DOI
-
10.1109/tia.2020.3008115
- Title of journal
- IEEE Transactions on Industry Applications
- Article number
- -
- First page
- 4857
- Volume
- 56
- Issue
- 5
- ISSN
- 0093-9994
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2020
- 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
-
2
- Research group(s)
-
D - Engineering Systems and Design
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- First reported approach to explicitly use efficient analytical field models in a statistical study of magnetic gear performance. The approach is comprehensively validated and calibrated using FEA. The research was undertaken as part of an EPSRC DTP and has quickly attracted industrial interest. This has led to the preparation of a £200k IUK DER Grant with Wavedrives Ltd. UoB will use and expand on the methods in this paper to assess Wavedrives' novel actuator – statistically characterising current and future manufacturing processes to support optimisation of their design for various applications from prosthetics to aerospace.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
