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dc.contributor.authorDwarshuis, Koen
dc.contributor.authorAarts, Ronald
dc.contributor.authorEllenbroek, Marcel
dc.contributor.authorBrouwer, Dannis
dc.date.accessioned2023-08-16T18:08:29Z
dc.date.available2023-08-16T18:08:29Z
dc.date.copyright1/11/2023 12:00:00 AM
dc.date.issued2023
dc.identifier.issn1555-1415
dc.identifier.othercnd_018_03_031002.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4291491
dc.description.abstractFlexure joints are rapidly gaining ground in precision engineering because of their predictable behavior. However, their range of motion is limited due to a stress limitation and a loss of support stiffness in deformed configurations. The support stiffness can be significantly increased by using leafsprings of which the width and thickness vary over the length of the leafspring. This paper presents formulations for two beam elements with a varying cross section that can be used for the efficient modeling of these types of leafsprings. One of these beam-formulations includes the modeling of the warping due to torsion, which is shown to be essential for accurate modeling. The 90% accuracy in stiffness results and 80% accuracy in stress results, in comparison with results of finite element analyses, are sufficient for the evaluation of concept-designs. Optimizations show that the support stiffness of two typical flexure joints can be increased by a factor of up to 4.0 keeping the same range of motion, by allowing the cross section to vary over the length of the leafspring. In these two flexure joints, 98% of this improvement can already be obtained by only varying the thickness, and keeping a constant width.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleBeams With a Varying Cross Section in the Generalized Strain Formulation for Flexure Modeling
dc.typeJournal Paper
dc.journal.volume18
dc.journal.issue3
dc.journal.titleJournal of Computational and Nonlinear Dynamics
dc.identifier.doi10.1115/1.4056482
dc.journal.fristpage31002-1
dc.journal.lastpage31002-14
dc.page14
dc.treeJournal of Computational and Nonlinear Dynamics:;2023:;volume( 018 ):;issue: 003
dc.contenttypeFulltext


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