论文标题

声气流变体

Acoustic Cavitation Rheometry

论文作者

Mancia, Lauren, Yang, Jin, Spratt, Jean-Sebastien, Sukovich, Jonathan R., Xu, Zhen, Colonius, Tim, Franck, Christian, Johnsen, Eric

论文摘要

软材料的表征由于其高依从性和机械性能的应变率依赖性而具有挑战性。基于惯性微浪费的高应变率流变体(IMR)方法[Estrada等,J。Mech。物理。 Solids,2018,112,291-317]将激光诱导的空化测量与气泡动力学的模型相结合,以测量高应变率下聚丙烯酰胺水凝胶的局部特性,从$ 10^3 $ to $ 10^3 $至$ 10^8 $ s $ s $ s $^{ - 1} $。尽管有希望,但激光诱导的空化涉及血浆形成和成核过程中的光学分解,该过程可能会在获得测量之前改变局部材料特性。在本研究中,我们将IMR方法扩展到产生空化的另一种手段,即高振幅集中的超声,并应用所得的基于大气浪费的IMR来表征琼脂糖水凝胶的机械性能。材料特性,包括粘度,弹性常数和无应力气泡半径,是从$ 0.3 \%$和$ 1 \%$ $琼脂糖凝胶的气泡半径历史中推断出来的。基于合奏的数据同化用于进一步帮助解释所获得的估计值。所得的参数分布与琼脂糖凝胶特性的可用测量以及与凝胶浓度和高应变率负荷相关的预期趋势一致。我们的发现表明,使用单泡声气化数据应用IMR和数据同化方法来测量粘弹性性能。

Characterization of soft materials is challenging due to their high compliance and the strain-rate dependence of their mechanical properties. The inertial microcavitation-based high strain-rate rheometry (IMR) method [Estrada et al., J. Mech. Phys. Solids, 2018, 112, 291-317] combines laser-induced cavitation measurements with a model for the bubble dynamics to measure local properties of polyacrylamide hydrogel under high strain-rates from $10^3$ to $10^8$ s$^{-1}$. While promising, laser-induced cavitation involves plasma formation and optical breakdown during nucleation, a process that could alter local material properties before measurements are obtained. In the present study, we extend the IMR method to another means to generate cavitation, namely high-amplitude focused ultrasound, and apply the resulting acoustic-cavitation-based IMR to characterize the mechanical properties of agarose hydrogels. Material properties including viscosity, elastic constants, and a stress-free bubble radius are inferred from bubble radius histories in $0.3\%$ and $1\%$ agarose gels. An ensemble-based data assimilation is used to further help interpret the obtained estimates. The resulting parameter distributions are consistent with available measurements of agarose gel properties and with expected trends related to gel concentration and high strain-rate loading. Our findings demonstrate the utility of applying IMR and data assimilation methods with single-bubble acoustic cavitation data for measurement of viscoelastic properties.

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