An optimal design of a two-layered magnetic brake
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Iqbal, Hashim | - |
dc.contributor.author | Yi, Byung ju | - |
dc.date.accessioned | 2021-06-22T15:24:26Z | - |
dc.date.available | 2021-06-22T15:24:26Z | - |
dc.date.issued | 2017-07 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/11674 | - |
dc.description.abstract | Magnetic brakes are the popular means to provide efficient damping to seize the motion of manipulators to avoid any damages. Commercially available magnetic brakes being used in an on-off fashion consume most of their power to overcome the restoring force of plate springs during engaging the brake. Thus, the range of the available braking force is very limited. This paper proposes a new design of a two-layered magnetic brake (TLMB) system that can provide large range of available braking force. The mathematical model of the TLMB has been derived. The design of TLMB is then optimized for maximizing the braking forces at the expense of minimum input power dissipation while limiting the core volume to certain bounds. © 2017 IEEE. | - |
dc.format.extent | 3 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | An optimal design of a two-layered magnetic brake | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1109/URAI.2017.7992684 | - |
dc.identifier.scopusid | 2-s2.0-85034233429 | - |
dc.identifier.wosid | 000426976900159 | - |
dc.identifier.bibliographicCitation | 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017, pp 613 - 615 | - |
dc.citation.title | 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 | - |
dc.citation.startPage | 613 | - |
dc.citation.endPage | 615 | - |
dc.type.docType | Conference Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Robotics | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Robotics | - |
dc.subject.keywordPlus | Ambient intelligence | - |
dc.subject.keywordPlus | Artificial intelligence | - |
dc.subject.keywordPlus | Electric power utilization | - |
dc.subject.keywordPlus | Intelligent robots | - |
dc.subject.keywordPlus | Magnetic devices | - |
dc.subject.keywordPlus | Magnetism | - |
dc.subject.keywordPlus | Braking force | - |
dc.subject.keywordPlus | Input power | - |
dc.subject.keywordPlus | Magnetic brakes | - |
dc.subject.keywordPlus | Optimal design | - |
dc.subject.keywordPlus | Restoring forces | - |
dc.subject.keywordPlus | Brakes | - |
dc.subject.keywordAuthor | braking forces | - |
dc.subject.keywordAuthor | electromagnet optimization | - |
dc.subject.keywordAuthor | Magnetic brakes | - |
dc.subject.keywordAuthor | power consumption | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/7992684/ | - |
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