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Effect of body stiffness distribution on larval fish-like efficient undulatory swimming.
Wang, Tianlu; Ren, Ziyu; Hu, Wenqi; Li, Mingtong; Sitti, Metin.
Affiliation
  • Wang T; Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.
  • Ren Z; Institute for Biomedical Engineering, ETH Zurich, 8092 Zurich, Switzerland.
  • Hu W; Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.
  • Li M; Institute for Biomedical Engineering, ETH Zurich, 8092 Zurich, Switzerland.
  • Sitti M; Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.
Sci Adv ; 7(19)2021 05.
Article in En | MEDLINE | ID: mdl-33952525
Energy-efficient propulsion is a critical design target for robotic swimmers. Although previous studies have pointed out the importance of nonuniform body bending stiffness distribution (k) in improving the undulatory swimming efficiency of adult fish-like robots in the inertial flow regime, whether such an elastic mechanism is beneficial in the intermediate flow regime remains elusive. Hence, we develop a class of untethered soft milliswimmers consisting of a magnetic composite head and a passive elastic body with different k These robots realize larval zebrafish-like undulatory swimming at the same scale. Investigations reveal that uniform k and high swimming frequency (60 to 100 Hz) are favorable to improve their efficiency. A shape memory polymer-based milliswimmer with tunable k on the fly confirms such findings. Such acquired knowledge can guide the design of energy-efficient leading edge-driven soft undulatory milliswimmers for future environmental and biomedical applications in the same flow regime.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Adv Year: 2021 Document type: Article Affiliation country: Germany Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Adv Year: 2021 Document type: Article Affiliation country: Germany Country of publication: United States