Presentation + Paper
11 April 2017 Rate dependent modeling, experimental validation, and uncertainty quantification of photostrictive polymers
William Oates, Sadiyah S. Chowdhury, Matthew Worden, Dennice Roberts
Author Affiliations +
Abstract
Polyimide-based azobenzene polymer networks have demonstrated superior photomechanical performance over more conventional azobenzene-doped pendent and cross-linked polyacrylate networks. These materials exhibit larger yield stress and glass transition temperatures and thus provide robustness for active control of adaptive structures directly with polarized, visible light. Here we develop a constitutive modeling framework and experimentally quantify both the photomechanical and theromechanical coupling in these materials. Whereas photochemical reactions clearly lead to deformation, as indicated by a rotation of a linear polarized light source, temperature and viscoelasticity can also influence deformation and complicate interpretation of the photostrictive constitutive behavior. The rate dependent deformation induced by these two effects is quantified experimentally through photomechanical stress measurements and infrared camera measurements. The results are compared to a model that includes both rate dependent deformation as a function of the optically active azobenzene molecules, coupling to the polymer network viscoelasticity, and thermal expansion. Bayesian statistics is utilized to elucidate the differences in thermomechanical and photomechanical deformation and the influence of viscoelasticity on light induced shape memory effects.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William Oates, Sadiyah S. Chowdhury, Matthew Worden, and Dennice Roberts "Rate dependent modeling, experimental validation, and uncertainty quantification of photostrictive polymers", Proc. SPIE 10165, Behavior and Mechanics of Multifunctional Materials and Composites 2017, 1016515 (11 April 2017); https://doi.org/10.1117/12.2263676
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Polymers

Data modeling

Polarization

Temperature metrology

Convection

Light

Thermal modeling

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