Time Efficient Stiffness Model Computation for a Parallel Haptic Mechanism Via the Virtual Joint Method

dc.contributor.author Carbone, Giuseppe
dc.contributor.author Görgülü, İbrahimcan
dc.contributor.author Dede, Mehmet İsmet Can
dc.coverage.doi 10.1016/j.mechmachtheory.2019.103614
dc.date.accessioned 2020-07-18T08:34:05Z
dc.date.available 2020-07-18T08:34:05Z
dc.date.issued 2020
dc.description.abstract Haptic devices are used for displaying a range of mechanical impedance values to the user. This impedance is regulated by a real-time control loop depending on the position information of the end-effector, which is usually acquired indirectly by using forward kinematics equations. Nevertheless, the kinematic model is insufficient to obtain accurate values if there are non-negligible compliant displacements. This gives a strong motivation for implementing a real-time stiffness model in the haptic control loop for improving its accuracy. Additionally, stiffness performance indices can be used at the design stage for enhancing the haptic devices impedance range within optimal design procedures. Fast solutions of a stiffness model are required for a real-time control as well as for decreasing the optimization time during a design process with a trade-off between accuracy and computational costs. In this study, we propose a computation time-efficient stiffness analysis of a parallel haptic device mechanism. The accuracy and computational costs of the proposed model are calculated and compared with a model that is obtained via a finite element method to demonstrate the effectiveness of the proposed approach with the desired real-time and accuracy performance. (C) 2019 Elsevier Ltd. All rights reserved. en_US
dc.identifier.doi 10.1016/j.mechmachtheory.2019.103614 en_US
dc.identifier.doi 10.1016/j.mechmachtheory.2019.103614 en_US
dc.identifier.issn 0374-1052
dc.identifier.issn 0094-114X
dc.identifier.scopus 2-s2.0-85072623150
dc.identifier.uri https://doi.org/10.1016/j.mechmachtheory.2019.103614
dc.identifier.uri https://hdl.handle.net/11147/8888
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartof Mechanism and Machine Theory en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Stiffness en_US
dc.subject Parallel manipulator en_US
dc.subject Virtual joint method en_US
dc.subject Haptic mechanism en_US
dc.title Time Efficient Stiffness Model Computation for a Parallel Haptic Mechanism Via the Virtual Joint Method en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Görgülü, İbrahimcan
gdc.author.institutional Dede, Mehmet İsmet Can
gdc.bip.impulseclass C4
gdc.bip.influenceclass C4
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. Mechanical Engineering en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.volume 143 en_US
gdc.description.wosquality Q1
gdc.identifier.openalex W2976692949
gdc.identifier.wos WOS:000502050800019
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 21.0
gdc.oaire.influence 4.1722115E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Haptic mechanism
gdc.oaire.keywords Haptic mechanism; Parallel manipulator; Stiffness; Virtual joint method
gdc.oaire.keywords Virtual joint method
gdc.oaire.keywords Parallel manipulator
gdc.oaire.keywords Stiffness
gdc.oaire.popularity 2.0125052E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0209 industrial biotechnology
gdc.oaire.sciencefields 0203 mechanical engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration International
gdc.openalex.fwci 2.63920816
gdc.openalex.normalizedpercentile 0.88
gdc.opencitations.count 21
gdc.plumx.crossrefcites 23
gdc.plumx.mendeley 20
gdc.plumx.scopuscites 30
gdc.scopus.citedcount 30
gdc.wos.citedcount 24
relation.isAuthorOfPublication.latestForDiscovery 251ababe-dd3c-4de1-bdc0-9205f621472f
relation.isOrgUnitOfPublication.latestForDiscovery 9af2b05f-28ac-4022-8abe-a4dfe192da5e

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