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IEEE Transactions on Industrial Electronics
Abstract
This paper proposes a new application for the rotary VCM.In developing a low cost ultrasound scanner for the developing world an oscillating transducer is required to sweep over the skin.The ultrasound scanner must operate from a USB power supply in remote locations.The application requires a 3.3N force on the coils of the motor to overcome the inertia of the skin.A proof of concept prototype motor with electronics has been designed, simulated and tested.The VCM optimisation is discussed in detail with the unique separation of the magnets being critical to reduce the axial bearing forces for this application.
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Citations
Cited by
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Newson, P., & Krumm, J. (2009) · Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems · doi:10.1145/1653771.1653818 · Cited by 1,019
Model Predictive Control for Finite Input Systems using the D-Wave Quantum Annealer
Inoue, D., & Yoshida, H. (2020) · Scientific Reports · doi:10.1038/s41598-020-58081-9 · Cited by 39
Modelling of a Two-Stage Bidirectional Ac-Dc Converter Using Wavelet Modulation
Chiu, H. K., Ramasamy, A. K., Tan, N. M. L., & Teow, M. Y. W. (2018) · International Journal of Power Electronics and Drive Systems (IJPEDS) · doi:10.11591/ijpeds.v9.i3.pp1006-1015 · Cited by 1
Metadata
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2016-09
- Volume
- 63
- Issue
- 9
- Pages
- C2-C2
- ISSN
- 0278-0046 (ISSN-L)
- 1557-9948
- OpenAlex
- W1592409232
- Cited by
- 1,240
- References
- 0
- FWCI
- 47.87
- Type
- journal article
- Language
- en
- Open access
- closed
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- IEEE Transactions on Industrial Electronics. (2016). IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2016.2593650
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
