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High strain-rate soft material characterization via inertial cavitation

机译:通过惯性空化实现高应变率软材料表征

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Mechanical characterization of soft materials at high strain-rates is challenging due to their high compliance, slow wave speeds, and non-linear viscoelasticity. Yet, knowledge of their material behavior is paramount across a spectrum of biological and engineering applications from minimizing tissue damage in ultrasound and laser surgeries to diagnosing and mitigating impact injuries. To address this significant experimental hurdle and the need to accurately measure the viscoelastic properties of soft materials at high strain-rates (103–108s−1), we present a minimally invasive, local 3D microrheology technique based on inertial microcavitation. By combining high-speed time-lapse imaging with an appropriate theoretical cavitation framework, we demonstrate that this technique has the capability to accurately determine the general viscoelastic material properties of soft matter as compliant as a few kilopascals. Similar to commercial characterization algorithms, we provide the user with significant flexibility in evaluating several constitutive laws to determine the most appropriate physical model for the material under investigation. Given its straightforward implementation into most current microscopy setups, we anticipate that this technique can be easily adopted by anyone interested in characterizing soft material properties at high loading rates including hydrogels, tissues and various polymeric specimens.
机译:由于高柔顺性,低波速和非线性粘弹性,软质材料在高应变率下的机械表征具有挑战性。然而,从最小化超声和激光手术中的组织损伤到诊断和减轻冲击伤害,在生物学和工程应用的各个方面,了解它们的物质行为至关重要。为了解决这个重大的实验障碍,以及在高应变率(103–108s-1)下准确测量软材料的粘弹性特性的需求,我们提出了一种基于惯性微空化的微创局部3D微流变技术。通过将高速延时成像与适当的理论空化框架相结合,我们证明了该技术具有准确确定软物质的一般粘弹性材料特性(顺应几千帕斯卡)的能力。与商业表征算法相似,我们为用户提供了极大的灵活性,可以评估几种本构定律,以确定所研究材料的最合适物理模型。鉴于其在大多数当前显微镜设置中的直接实现,我们希望对高负载率下表征软材料特性感兴趣的任何人(包括水凝胶,组织和各种聚合物样品)都可以轻松采用该技术。

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