Poly-AMPS (PAMPS) gel was fabricated and its electroactive behavior was studied. A weakly cross-linked anionic
PAMPS gel was produced by radical polymerization using 2-acrylamido-2-methylpropane sulfonic acid (AMPS)
monomers, where N,N'-methlenebisacrylamide (MBAA) and α -ketoglutaric acid were used as a cross-linking agent
and a radical initiator, respectively. The polymerization was carried out at 55°C for at least 24 hours. Density and the
degree of swelling of gel samples were investigated as physical properties. Also, swelling experiments were conducted in
a surfactant solution using 1-dodecylpyridinium chloride hydrate. The chemo-mechanical properties of PAMPS gel were
studied in a dilute surfactant solution under the electric field. The effect of material parameters on the bending
deformation was investigated. As design parameters, sample thickness, current density, ion concentration of the
surfactant solution, and cross-linking degree of gel were chosen, and the effect of these parameters on the actuation was
studied.
The electro-active behavior of ionic polymer gel was modeled and the optimum condition of decision parameters that
maximize the deflection of gel was investigated. An actuation model characterizing the bending deformation of polymer
gel under electric field was proposed considering the chemo-electro-mechanical parameters. In the modeling, swelling or
shrinking phenomenon due to the difference of concentration at the boundary between the gel and solution was
considered first before the electric field is applied. Then, bending deformation under the concentration difference of ions
was calculated. Differential osmotic pressure at the boundary of gel and solution determine the degree of swelling or
shrinking of gel. From this actuation behavior, strain or deformation of gel is calculated. To find the optimum conditions
for the deformation of gel, a non-linear constrained optimization model was proposed, where the equation for bending
deflection of gel is used as the objective function and the relationship among the decision variables and the range of the
variables are used as constraints. In the optimization model, electric voltage, thickness of gel, concentration of polyion in
the gel, ion concentration in the solution and degree of cross-linking in gel were considered as decision variables. The
predictions by the proposed model were compared with experimental data.
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