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dc.contributor.authorWei, Yen_US
dc.contributor.authorChai, Xen_US
dc.contributor.authorZhang, Ken_US
dc.date.accessioned2020-03-03T10:39:22Z
dc.date.available2020-02-12en_US
dc.date.issued2020-02-27en_US
dc.identifier.issn0094-114Xen_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/63002
dc.description.abstractThis paper investigates a new reconfigurable parallel mechanism consisting of three SvPS kinematic limbs. Induced by phase changes of a metamorphic spherical variable-axis joint (Sv), the SvPS limb is capable of changing to two typical configurations, of which one exerts no constraint and the other exerts a constraint force to the moving platform. Reconfiguration of the three limbs enables the 3-SvPS parallel mechanism to have four distinct configurations with degrees of freedom (DOF) varying from 3 to 6. Analytical model of position and workspace analysis of the reconfigurable parallel mechanism are first investigated. In terms of the screw theory, a unified Jacobian matrix covering all the mobility configurations is established and utilized for analyzing singularity of the parallel mechanism in different configurations. Further, performance analysis and optimization are explored using the motion/force transmission method. The 3-SvPS parallel mechanism can be used as structure of reconfigurable robotic machine center with adaptability to changing task requirements.en_US
dc.publisherElsevieren_US
dc.relation.ispartofMechanism and Machine Theoryen_US
dc.rightshttps://doi.org/10.1016/j.mechmachtheory.2020.103850
dc.titleKinematic Modeling and Optimization of a New Reconfigurable Parallel Mechanismen_US
dc.typeArticle
dc.rights.holder© 2020 Elsevier Ltd.
dc.identifier.doi10.1016/j.mechmachtheory.2020.103850en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
dcterms.dateAccepted2020-02-12en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
qmul.funderNational Centre for Nuclear Robotics::Engineering and Physical Sciences Research Councilen_US


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