论文标题

Mnemosyne编号和纪念的流变学

The Mnemosyne Number and the Rheology of Remembrance

论文作者

Jamali, Safa, McKinley, Gareth H.

论文摘要

Deborah数量的概念被广泛用于研究粘弹性材料,并表示材料放松时间与观察时间尺度的比率,并划分主要是粘性或弹性材料响应之间的过渡。但是,该构建体无助于量化较长的瞬态和非单调应力跳跃的重要性,而这些构造通常会在更复杂的时变系统中观察到。这些非直觉效应中的许多效果集体在平晶术中集体集结。但是,在此类材料中观察到的关键现象没有适当的名词。触变的源自复杂的结构化流体记住其先前的变形历史的能力,因此自然而然地命名代表这种行为相对于记住能力的无量纲组。在希腊神话中,Mnemosyne是九个缪斯女神和记忆女神的母亲。因此,我们提出了mnemosyne数的定义为触变时间尺度的无量纲产物和施加的变形速率。因此,Mnemosyne数是与触变时间尺度相比的流动强度的度量。由于较长的瞬态响应是触变材料的特有,因此还需要考虑流动持续时间。该持续时间的相关无限度度量可以用突变数来表示,该突变数将实验/观察的时间尺度与触变时间尺度进行了比较。整理突变数和mnemosyne数字,我们构建了触变行为的一般二维图,并使用规范的触变模型来量化这些思想。

The concept of a Deborah number is widely used in study of viscoelastic materials and to represent the ratio of a material relaxation time to the timescale of observation, and to demarcate transitions between predominantly viscous or elastic material responses. However, this construct does not help quantify the importance of long transients and non-monotonic stress jumps that are often observed in more complex time-varying systems. Many of these non-intuitive effects are lumped collectively under the term thixotropy; however, no proper nouns are associated with the key phenomena observed in such materials. Thixotropy arises from the ability of a complex structured fluid to remember its prior deformation history, so it is natural to name the dimensionless group representing such behavior with respect to the ability to remember. In Greek mythology, Mnemosyne was mother of the nine Muses and the goddess of memory. We thus propose the definition of a Mnemosyne number as the dimensionless product of the thixotropic time scale and the imposed rate of deformation. The Mnemosyne number is thus a measure of the flow strength compared to the thixotropic timescale. Since long transients responses are endemic to thixotropic materials, one also needs to consider the duration of flow. The relevant dimensionless measure of this duration can be represented in terms of a mutation number which compares the timescale of experiment/observation to the thixotropic timescale. Collating the mutation number and the Mnemosyne number, we construct a general two-dimensional map of thixotropic behavior, and quantify these ideas using canonical thixotropic models.

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