dc.contributor.author |
Do, NNL |
en |
dc.contributor.author |
Taberner, Andrew |
en |
dc.contributor.author |
Ruddy, Bryan |
en |
dc.coverage.spatial |
Baltimore, Maryland |
en |
dc.date.accessioned |
2020-01-12T22:30:31Z |
en |
dc.date.issued |
2019 |
en |
dc.identifier.citation |
Proceedings 2019 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE. 908-915. 2019 |
en |
dc.identifier.isbn |
978-1-7281-0395-2 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/49546 |
en |
dc.description.abstract |
Needle-free jet injection allows delivery of a liquid drug through the skin in the form of a narrow fluid jet traveling at high speed, minimizing the risks of accidents. Doing this in a controlled way requires an actuator with exceptionally high force density. We propose the use of linear permanent magnet flux-switching motors for this task, and describe their characteristics relative to the needs of jet injection. This paper will introduce a design process which involves the use of artificial neural networks as a means of response surface modelling, combined with nonlinear constraint optimization, to deduce a motor design that satisfies all of the challenging linear motor requirements for needle-free jet injection applications. |
en |
dc.publisher |
IEEE |
en |
dc.relation.ispartof |
IEEE Energy Conversion Congress and Exposition (ECCE) |
en |
dc.relation.ispartofseries |
Proceedings 2019 IEEE Energy Conversion Congress and Exposition (ECCE) |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.rights.uri |
https://www.ieee.org/publications/rights/author-posting-policy.html |
en |
dc.title |
Application of Linear Permanent Magnet Flux-Switching Motors to Needle-free Jet Injection |
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dc.type |
Conference Item |
en |
dc.identifier.doi |
10.1109/ECCE.2019.8912735 |
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pubs.begin-page |
908 |
en |
dc.rights.holder |
Copyright: IEEE |
en |
pubs.end-page |
915 |
en |
pubs.finish-date |
2019-10-03 |
en |
pubs.publication-status |
Published online |
en |
pubs.start-date |
2019-09-29 |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/OpenAccess |
en |
pubs.subtype |
Proceedings |
en |
pubs.elements-id |
788265 |
en |
pubs.org-id |
Bioengineering Institute |
en |
pubs.org-id |
ABI Associates |
en |
pubs.org-id |
Engineering |
en |
pubs.org-id |
Engineering Science |
en |
dc.identifier.eissn |
2329-3748 |
en |
pubs.record-created-at-source-date |
2019-12-04 |
en |
pubs.online-publication-date |
2019-11-28 |
en |