Rheoacoustic gels: tuning mechanical and flow properties of colloidal gels with ultrasonic vibrations
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PhysRevX.10.011028.pdf
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Author(s) • • • • • • • • •
Gibaud, Thomas
Dagès, Noémie
Lidon, Pierre
Jung, Guillaume
Ahouré, L. Christian
Sztucki, Michael
Poulesquen, Arnaud
Hengl, Nicolas
Pignon, Frédéric
Manneville, Sébastien
Date Issued
February 2020
Journal
Physical review X
Publisher
American Physical Society
Citation
Gibaud, Thomas, et al., "Rheoacoustic gels: tuning mechanical and flow properties of colloidal gels with ultrasonic vibrations." Physical review X 10, 10 (2020): no. 011028 doi 10.1103/PhysRevX.10.011028 ©2020 Author(s)
Version
Final published version
Abstract
Colloidal gels, where nanoscale particles aggregate into an elastic yet fragile network, are at the heart of materials that combine specific optical, electrical, and mechanical properties. Tailoring the viscoelastic features of colloidal gels in real time thanks to an external stimulus currently appears as a major challenge in the design of “smart” soft materials. Here we introduce “rheoacoustic” gels, a class of materials that are sensitive to ultrasonic vibrations. By using a combination of rheological and structural characterization, we evidence and quantify a strong softening in three widely different colloidal gels submitted to ultrasonic vibrations (with submicron amplitude and frequency 20–500 kHz). This softening is attributed to micron-sized cracks within the gel network that may or may not fully heal once vibrations are turned off depending on the acoustic intensity. Ultrasonic vibrations are further shown to dramatically decrease the gel yield stress and accelerate shear-induced fluidization. Ultrasound-assisted fluidization dynamics appear to be governed by an effective temperature that depends on the acoustic intensity. Our work opens the way to a full control of elastic and flow properties by ultrasonic vibrations as well as to future theoretical and numerical modeling of such rheoacoustic gels. ©2020
MIT Department
MultiScale Materials Science for Energy and Environment, Joint MIT-CNRS Laboratory
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Creative Commons Attribution 3.0 unported license
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DOI of Published Version
https://doi.org/10.1103/PhysRevX.10.011028