Performance optimization of large stroke flexure hinges for high stiffness and eigenfrequency

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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134 Downloads (Pure)

Abstract

Two flexure hinge types are optimized for high support stiffness and high first unwanted eigenfrequency for two different working ranges, ±5.7° and ±20°. We show how multiple performance specifications lead to different designs with different performance. The optimization uses efficient parameterized non-linear beam-based models. The constraints and load case are taken from an electron microscopy use case. Optimization results show that the Three Flexure Cross Hinge has the highest first unwanted eigenfrequencies, while the new Infinity Flexure Hinge shows highest support stiffnesses. The design of the optimal geometry is detailed such that a prototype mechanism is manufactured and tested. Experiments show that the first unwanted eigenfrequency is 35 times higher than the first eigenfrequency throughout the working range.
Original languageEnglish
Title of host publicationProceedings of the 28th Annual Meeting of the American Society for Precision Engineering (ASPE)
Place of PublicationSaint Paul, Minnesota
PublisherAmerican Society for Precision Engineering
Pages-
Publication statusPublished - 20 Oct 2013

Publication series

Name
PublisherAmerican Society for Precision Engineering

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Hinges
Stiffness
Electron microscopy
Specifications
Geometry
Experiments

Keywords

  • METIS-298999
  • IR-87917

Cite this

Gunnink, K., Aarts, R. G. K. M., & Brouwer, D. M. (2013). Performance optimization of large stroke flexure hinges for high stiffness and eigenfrequency. In Proceedings of the 28th Annual Meeting of the American Society for Precision Engineering (ASPE) (pp. -). Saint Paul, Minnesota: American Society for Precision Engineering.
Gunnink, K. ; Aarts, Ronald G.K.M. ; Brouwer, Dannis Michel. / Performance optimization of large stroke flexure hinges for high stiffness and eigenfrequency. Proceedings of the 28th Annual Meeting of the American Society for Precision Engineering (ASPE). Saint Paul, Minnesota : American Society for Precision Engineering, 2013. pp. -
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Gunnink, K, Aarts, RGKM & Brouwer, DM 2013, Performance optimization of large stroke flexure hinges for high stiffness and eigenfrequency. in Proceedings of the 28th Annual Meeting of the American Society for Precision Engineering (ASPE). American Society for Precision Engineering, Saint Paul, Minnesota, pp. -.

Performance optimization of large stroke flexure hinges for high stiffness and eigenfrequency. / Gunnink, K.; Aarts, Ronald G.K.M.; Brouwer, Dannis Michel.

Proceedings of the 28th Annual Meeting of the American Society for Precision Engineering (ASPE). Saint Paul, Minnesota : American Society for Precision Engineering, 2013. p. -.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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N2 - Two flexure hinge types are optimized for high support stiffness and high first unwanted eigenfrequency for two different working ranges, ±5.7° and ±20°. We show how multiple performance specifications lead to different designs with different performance. The optimization uses efficient parameterized non-linear beam-based models. The constraints and load case are taken from an electron microscopy use case. Optimization results show that the Three Flexure Cross Hinge has the highest first unwanted eigenfrequencies, while the new Infinity Flexure Hinge shows highest support stiffnesses. The design of the optimal geometry is detailed such that a prototype mechanism is manufactured and tested. Experiments show that the first unwanted eigenfrequency is 35 times higher than the first eigenfrequency throughout the working range.

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Gunnink K, Aarts RGKM, Brouwer DM. Performance optimization of large stroke flexure hinges for high stiffness and eigenfrequency. In Proceedings of the 28th Annual Meeting of the American Society for Precision Engineering (ASPE). Saint Paul, Minnesota: American Society for Precision Engineering. 2013. p. -