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    Incorporating Geometric Nonlinearity in Theoretical Modeling of Muscle-Powered Soft Robotic Bio-Actuators

    Source: Journal of Applied Mechanics:;2023:;volume( 091 ):;issue: 001::page 11008-1
    Author:
    Aydin, Onur
    ,
    Hirashima, Kenta
    ,
    Saif, M. Taher A.
    DOI: 10.1115/1.4063146
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Biohybrid actuators aim to leverage the various advantages of biological cells over artificial components to build novel compliant machines with high performance and autonomy. Significant advances have been made in bio-fabrication technologies, enabling the realization of muscle-powered bio-actuators. However, the mechanics of muscle-scaffold coupling has been relatively understudied, limiting the development of bio-actuators to intuitive or biomimetic designs. Here, we consider the case of implementing muscle-based actuation for soft robotic swimmers operating at low Reynolds numbers. We develop an analytical model to describe the elasto-hydrodynamic problem and identify key design parameters. Muscle contraction dynamics is characterized experimentally and the implications of nonlinear amplitude-frequency relationship of muscle-based actuation are discussed. We show that a novel bio-actuator with high performance can be developed by introducing compliant flexural mechanisms undergoing large deflection. Geometric nonlinearities are accounted for in the analysis of the force-deflection relationship for the flexural mechanism. Our results show that for expected muscle contraction forces, this novel bio-actuator can outperform previous muscle-powered swimmers by up to two orders of magnitude in swimming speed.
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      Incorporating Geometric Nonlinearity in Theoretical Modeling of Muscle-Powered Soft Robotic Bio-Actuators

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4295338
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    contributor authorAydin, Onur
    contributor authorHirashima, Kenta
    contributor authorSaif, M. Taher A.
    date accessioned2024-04-24T22:30:08Z
    date available2024-04-24T22:30:08Z
    date copyright8/25/2023 12:00:00 AM
    date issued2023
    identifier issn0021-8936
    identifier otherjam_91_1_011008.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4295338
    description abstractBiohybrid actuators aim to leverage the various advantages of biological cells over artificial components to build novel compliant machines with high performance and autonomy. Significant advances have been made in bio-fabrication technologies, enabling the realization of muscle-powered bio-actuators. However, the mechanics of muscle-scaffold coupling has been relatively understudied, limiting the development of bio-actuators to intuitive or biomimetic designs. Here, we consider the case of implementing muscle-based actuation for soft robotic swimmers operating at low Reynolds numbers. We develop an analytical model to describe the elasto-hydrodynamic problem and identify key design parameters. Muscle contraction dynamics is characterized experimentally and the implications of nonlinear amplitude-frequency relationship of muscle-based actuation are discussed. We show that a novel bio-actuator with high performance can be developed by introducing compliant flexural mechanisms undergoing large deflection. Geometric nonlinearities are accounted for in the analysis of the force-deflection relationship for the flexural mechanism. Our results show that for expected muscle contraction forces, this novel bio-actuator can outperform previous muscle-powered swimmers by up to two orders of magnitude in swimming speed.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleIncorporating Geometric Nonlinearity in Theoretical Modeling of Muscle-Powered Soft Robotic Bio-Actuators
    typeJournal Paper
    journal volume91
    journal issue1
    journal titleJournal of Applied Mechanics
    identifier doi10.1115/1.4063146
    journal fristpage11008-1
    journal lastpage11008-11
    page11
    treeJournal of Applied Mechanics:;2023:;volume( 091 ):;issue: 001
    contenttypeFulltext
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