Influence of shear on sensing of ionic polymer metal composites

Leronni, Alessandro; Bardella, Lorenzo

doi:10.1016/j.euromechsol.2019.02.016

Cited by 14 publications

(11 citation statements)

References 33 publications

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“…Two strategies could be followed to address this issue: developing either an ad hoc finite element code or manageable and reliable semi-analytical solutions. Similar tasks have been recently accomplished for the Cha and Porfiri (2014) theory, encompassing a two-dimensional user defined finite element for continuum analysis and enriched structural theories accounting for the throughthe-thickness deformation of the membrane and for the IPMC laminate structure, combined with asymptotic methods for the electrochemistry (Leronni and Bardella, 2019;.…”

Section: Discussionmentioning

confidence: 99%

“…Porfiri et al (2017Porfiri et al ( , 2018 have proposed an alternative explanation of the back-relaxation phenomenon in actuation, based on the competition between osmotic and Maxwell stresses. Recent works have revealed the importance of considering complex deformation states, with the consequent need for sophisticated structural theories if, toward efficient design and optimization, one wants to avoid cumbersome numerical models of IPMCs treated as continua (Leronni and Bardella, 2019;.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modeling actuation and sensing in ionic polymer metal composites by electrochemo-poromechanics

Leronni

Bardella

2021

Journal of the Mechanics and Physics of Solids

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling actuation and sensing in ionic polymer metal composites by electrochemo-poromechanics

Leronni

Bardella

2021

Journal of the Mechanics and Physics of Solids

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“…However, note that linearization does not necessarily work well in general. If the deformation is suitably large and not pure bending, such as compression or shear deformation, the non-linearity of the deformation is known to be crucial for modeling the sensor response [31,32]. Let (c I0 , c W0 , ϕ 0 ) be the equilibrium point of (c I , c W , ϕ) when the undeformed state (κ ≡ 0).…”

Section: Symbolic Finite Element Discretizationmentioning

confidence: 99%

“…Furthermore, Porfiri et al proposed a physics-based model to comprehensively explain the physical phenomena that occur in IPMCs [27,30]. Additionally, the model shown in reference [27,30] has been applied to sensing [31][32][33]. The finite element implementation of the model shown in reference [27,30] has also been presented [34].…”

Section: Introductionmentioning

confidence: 99%

Symbolic finite element discretization and model order reduction of a multiphysics model for IPMC sensors

Kondo

Takagi

Zhu

et al. 2020

Smart Mater. Struct.

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The multiphysics model of ionic polymer-metal composite (IPMC) sensors proposed by Zhu has a significant advantage of being able to describe the dynamic sensor response, which highly depends on humidity, by explicitly considering solvent dynamics. However, it is difficult to perform analysis and simulation because Zhu’s model is represented by complex non-linear partial differential equations. This paper describes the symbolic finite element discretization of Zhu’s model and further discusses the essential dynamics of the reduced-order model extracted from the finite element model. The obtained linear ordinary differential equations, or the state equation, can be easily implemented in simulators via common programming languages. The simulation results of an in-house simulator implemented by MATLAB code show good agreement with those of direct numerical simulation by using commercial software, COMSOL. To further simplify the model, the minimum order required for an appropriate approximation is numerically investigated by using a model order reduction technique. This paper reveals that the dynamic response of an IPMC sensor can be consequently approximated by a first-order or second-order linear time-invariant system.

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“…Modelling results for IPMC current generation in response to compression were validated against experimental results in [113]. In 2019 Leronni and Bardella combined the modelling framework in [108,109] with sandwich beam theory [114] and zigzag warping model [115] in order to account for shear deformations in static sensing of IPMC bending [116]. Reportedly, the shear effects are negligible in thin IPMCs, but become more significant in short IPMC with stiff electrodes.…”

Section: Models For Ipmc Sensingmentioning

confidence: 99%

Sensing and Self-Sensing Actuation Methods for Ionic Polymer–Metal Composite (IPMC): A Review

MohdIsa

Hunt

HosseinNia

2019

Sensors

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Ionic polymer–metal composites (IPMC) are smart material transducers that bend in response to low-voltage stimuli and generate voltage in response to bending. IPMCs are mechanically compliant, simple in construction, and easy to cut into desired shape. This allows the designing of novel sensing and actuation systems, e.g., for soft and bio-inspired robotics. IPMC sensing can be implemented in multiple ways, resulting in significantly different sensing characteristics. This paper will review the methods and research efforts to use IPMCs as deformation sensors. We will address efforts to model the IPMC sensing phenomenon, and implementation and characteristics of different IPMC sensing methods. Proposed sensing methods are divided into active sensing, passive sensing, and self-sensing actuation (SSA), whereas the active sensing methods measure one of IPMC-generated voltage, charge, or current; passive methods measure variations in IPMC impedances, or use it in capacitive sensor element circuit, and SSA methods implement simultaneous sensing and actuation on the same IPMC sample. Frequency ranges for reliable sensing vary among the methods, and no single method has been demonstrated to be effective for sensing in the full spectrum of IPMC actuation capabilities, i.e., from DC to ∼100 Hz. However, this limitation can be overcome by combining several sensing methods.

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Influence of shear on sensing of ionic polymer metal composites

Cited by 14 publications

References 33 publications

Modeling actuation and sensing in ionic polymer metal composites by electrochemo-poromechanics

Modeling actuation and sensing in ionic polymer metal composites by electrochemo-poromechanics

Symbolic finite element discretization and model order reduction of a multiphysics model for IPMC sensors

Sensing and Self-Sensing Actuation Methods for Ionic Polymer–Metal Composite (IPMC): A Review

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