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dc.creatorKvrgić, Vladimir
dc.creatorRibić, Aleksandar, I
dc.creatorDimić, Zoran
dc.creatorŽivanović, Saša
dc.creatorDodevska, Zorica A.
dc.date.accessioned2022-09-19T19:28:48Z
dc.date.available2022-09-19T19:28:48Z
dc.date.issued2022
dc.identifier.issn1755-5817
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/3722
dc.description.abstractThe indirect identification of the geometric errors (GEs) in the rotary axis of a machine tool yields six equivalent GEs (EGEs) that are position-dependent; through an analytical proof, this study demonstrates that these errors also represent four position-independent GEs of the axis. Moreover, a novel algorithm using ball bar measurements to calculate the EGEs of a nutating rotary B-axis and a rotary C-axis is presented herein. This paper also presents a new analytical solution for the actual inverse kinematics of a nonorthogonal five-axis machine tool; this solution is used for GE compensation. The presented algorithms are implemented in a self-developed software that alters the nominal numerical control code in order to eliminate GEs. The compensation accuracy and efficiency are tested using a simulation system. The results demonstrate that the proposed compensation algorithm eliminates all identified GEs. Lastly, a cutting test executed on a machine confirms that the proposed algorithms considerably improve machining accuracy.en
dc.publisherElsevier, Amsterdam
dc.relationMinistry of Education, Science, and Technological Development of Serbia
dc.rightsrestrictedAccess
dc.sourceCIRP Journal of Manufacturing Science and Technology
dc.subjectNonorthogonal five-axis machine toolen
dc.subjectKinematic modelen
dc.subjectGeometric error identificationen
dc.subjectGeometric error compensationen
dc.subjectEquivalent geometric errorsen
dc.titleEquivalent geometric errors of rotary axes and novel algorithm for geometric errors compensation in a nonorthogonal five-axis machine toolen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage488
dc.citation.other37: 477-488
dc.citation.rankM22~
dc.citation.spage477
dc.citation.volume37
dc.identifier.doi10.1016/j.cirpj.2022.03.001
dc.identifier.scopus2-s2.0-85126139485
dc.identifier.wos000778631100003
dc.type.versionpublishedVersion


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