A Finite Element Approach to Enhance Aquatic Traction for Amphibious Spherical Robot

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

1 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Title of host publication2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)
PublisherIEEE
Pages836-839
ISBN (Electronic)978-1-5386-0490-8
Publication statusPublished - Jul 2017

Conference

Title7th Annual IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER 2017)
LocationSheraton Princess Kaiulani
PlaceUnited States
CityHawaii
Period31 July - 4 August 2017

Abstract

The paper reports the possibility to extend the functionality of a land spherical robot such that it can also be freely movable while floating on water. To compromise for both computational convergence and CPU time, a simplified 2D model with reasonably meshed components is used for time-dependent study based on the arbitrary Lagrangian-Eulerian (ALE) model of the fluid-structure interaction module. We observed that while a sparse fin structure can already provide good aquatic traction, installing excessive fins is not only unhelpful, on the contrary it is proven in our simulations that eventually it would even be detrimental due to the unexpected reverse pushing from the turbulence eddies. These results would definitely provide some insights and design guidelines for the implementation of aquatic fins to our current land spherical robot to enhance its amphibiousness.

Research Area(s)

  • amphibious floating spherical robot, aquatic fin, Fluid-structure interaction (FSI), multiphysics simulation

Citation Format(s)

A Finite Element Approach to Enhance Aquatic Traction for Amphibious Spherical Robot. / Sun, Winston; Chen, Meng; Zhan, Shaodong et al.

2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2017. p. 836-839 8446265.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review