Performance optimization of a conical dielectric elastomer actuator

Chongjing Cao, Andrew Conn

Research output: Contribution to journalArticle (Academic Journal)peer-review

8 Citations (Scopus)
280 Downloads (Pure)

Abstract

Dielectric elastomer actuators (DEAs) are known as ‘artificial muscles’ due to their large actuation strain, high energy density and self-sensing capability. The conical configuration has been widely adopted in DEA applications such as bio-inspired locomotion and micropumps for its good compactness, ease for fabrication and large actuation stroke. However, the conical protrusion of the DEA membrane is characterized by inhomogeneous stresses, which complicate their design. In this work, we present an analytical model-based optimization for conical DEAs with the three biasing elements: (I) linear compression spring; (II) biasing mass; and (III) antagonistic double-cone DEA. The optimization is to find the maximum stroke and work output of a conical DEA by tuning its geometry (inner disk to outer frame radius ratio a/b) and pre-stretch ratio. The results show that (a) for all three cases, stroke and work output are maximum for a pre-stretch ratio of 1 × 1 for the Parker silicone elastomer, which suggests the stretch caused by out-of-plane deformation is sufficient for this specific elastomer. (b) Stroke maximization is obtained for a lower a/b ratio while a larger a/b ratio is required to maximize work output, but the optimal a/b ratio is less than 0.3 in all three cases. (c) The double-cone configuration has the largest stroke while single cone with a biasing mass has the highest work output.
Original languageEnglish
Article number32
Number of pages12
JournalActuators
Volume7
Issue number2
Early online date18 Jun 2018
DOIs
Publication statusPublished - Jun 2018

Keywords

  • dielectric elastomer actuators (DEAs)
  • hyperelastic modelling
  • design optimization

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