Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

An optimal design of a two-layered magnetic brake

Full metadata record
DC Field Value Language
dc.contributor.authorIqbal, Hashim-
dc.contributor.authorYi, Byung ju-
dc.date.accessioned2021-06-22T15:24:26Z-
dc.date.available2021-06-22T15:24:26Z-
dc.date.issued2017-07-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/11674-
dc.description.abstractMagnetic 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.extent3-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleAn optimal design of a two-layered magnetic brake-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/URAI.2017.7992684-
dc.identifier.scopusid2-s2.0-85034233429-
dc.identifier.wosid000426976900159-
dc.identifier.bibliographicCitation2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017, pp 613 - 615-
dc.citation.title2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017-
dc.citation.startPage613-
dc.citation.endPage615-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaRobotics-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryRobotics-
dc.subject.keywordPlusAmbient intelligence-
dc.subject.keywordPlusArtificial intelligence-
dc.subject.keywordPlusElectric power utilization-
dc.subject.keywordPlusIntelligent robots-
dc.subject.keywordPlusMagnetic devices-
dc.subject.keywordPlusMagnetism-
dc.subject.keywordPlusBraking force-
dc.subject.keywordPlusInput power-
dc.subject.keywordPlusMagnetic brakes-
dc.subject.keywordPlusOptimal design-
dc.subject.keywordPlusRestoring forces-
dc.subject.keywordPlusBrakes-
dc.subject.keywordAuthorbraking forces-
dc.subject.keywordAuthorelectromagnet optimization-
dc.subject.keywordAuthorMagnetic brakes-
dc.subject.keywordAuthorpower consumption-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/7992684/-
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Yi, Byung Ju photo

Yi, Byung Ju
ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE