Limitations of Viscoelastic Constitutive Models for Carbon-Black Reinforced Rubber in Medium Dynamic Strains and Medium Strain Rates
Limitations of Viscoelastic Constitutive Models for Carbon-Black Reinforced Rubber in Medium Dynamic Strains and Medium Strain Rates
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DOI：
10.3390/polym10090988
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发表时间：
2018-09-01
期刊：
影响因子：
5
通讯作者：
Busfield, James J. C.
中科院分区：
文献类型：
--
作者：
Carleo, Francesca;Barbieri, Ettore;Busfield, James J. C.
对橡胶的粘弹性行为进行建模以用于部件设计仍然是一个挑战。大多数文献没有考虑在中等应变率（0.5/s至10/s）下变形至中等动态应变（0.5至3.5）的抗振装置所遇到的典型状态。以前的研究要么集中在小应变和小应变率下的行为，要么集中在导致低周疲劳或撕裂现象的快速加载条件下的行为。人们对天然橡胶悬架部件在用于真实的车辆应用时的动态响应缺乏了解。本文介绍了流行的粘弹性非线性本构模型和他们的能力，典型的弹性体材料，如天然橡胶（NR）纳入不同的PHR（每百份橡胶，XX）的炭黑的力学行为建模的审查。应变和应变率的范围是橡胶悬架中使用的材料在恶劣的工作条件下工作时的典型情况，例如在崎岖的地形上或在坑洞上。在该中等应变范围内以不同的振幅和不同的应变速率施加循环应变。尽管在文献中有许多模型，我们的研究报告说，没有一个现有的模型可以在广泛的条件下令人满意地拟合数据。
Modelling the viscoelastic behavior of rubber for use in component design remains a challenge. Most of the literature does not consider the typical regimes encountered by anti-vibration devices that are deformed to medium dynamic strains (0.5 to 3.5) at medium strain rates (0.5/s to 10/s). Previous studies have either focused on the behaviour at small strains and small strain rates or in fast loading conditions that result in low cycle fatigue or tearing phenomena. There is a lack of understanding of the dynamic response of natural rubber suspension components when used in real vehicle applications. This paper presents a review of popular viscoelastic nonlinear constitutive models and their ability to model the mechanical behaviour of typical elastomer materials such as Natural Rubber (NR) incorporating different PHR (Parts per Hundred Rubber, XX) of carbon black. The range of strain and strain rate are typical for the materials used in rubber suspensions when operating in severe service operating conditions, such as over rough terrain or over pot-holes. The cyclic strain is applied at different amplitudes and different strain rates in this medium strain range. Despite the availability of many models in the literature, our study reports that none of the existing models can fit the data satisfactorily over a wide range of conditions.