Viscoelasticity is a material property that combines both viscous and elastic characteristics. Many materials have such viscoelastic properties, especially materials that consist of large molecules. Polymers are viscoelastic because their macromolecules can have temporary entanglements with neighbouring molecules, causing elastic properties. After some time these entanglements disappear and the macromolecules flow into other positions where new entanglements occur (viscous properties).
A viscoelastic material shows elastic properties on short time scales and viscous properties on long time scales. These materials exhibit behavior that depends on the time and rate of applied forces, allowing them to both store and dissipate energy.
Viscoelasticity has been studied since the nineteenth, century by researchers such as James Clerk Maxwell, Ludwig Boltzmann, and Lord Kelvin.
Several models are available for the mathematical description of the viscoelastic properties of a substance:
- Constitutive models of linear viscoelasticity assume a linear relationship between stress and strain. These models are valid for relatively small deformations only.
- Constitutive models of non-linear viscoelasticity are based on a more realistic non-linear relationship between stress and strain. These models are valid for relatively large deformations.
The viscoelastic properties of polymers are highly temperature dependent. From low to high temperature the material can be in the glass phase, rubber phase or the melt phase. These phases have a very strong effect on the mechanical and viscous properties of the polymers.
Typical viscoelastic properties are:
- A time dependant stress in the polymer under constant deformation (strain).
- A time dependant strain in the polymer under constant stress.
- A time and temperature dependant stiffness of the polymer.
- Viscous energy loss during deformation of the polymer in the glass or rubber phase (hysteresis).
- A strain rate dependant viscosity of the molten polymer.
- An ongoing deformation of a polymer in the glass phase at constant load (creep).
The viscoelasticity properties are measured with various techniques, such as tensile testing, dynamic mechanical analysis, shear rheometry and extensional rheometry.
Background
In the nineteenth century, physicists such as James Clerk Maxwell, Ludwig Boltzmann, and Lord Kelvin researched and experimented with creep and recovery of glasses, metals, and rubbers. Viscoelasticity was further examined in the late twentieth century when synthetic polymers were engineered and used in a variety of applications.
Viscoelasticity calculations depend heavily on the viscosity variable, η. The inverse of η is also known as fluidity, φ. The value of either can be derived as a function of temperature or as a given value (i.e. for a dashpot).
thumb|Different types of responses to a change in strain rate
Depending on the change of strain rate versus stress inside a material, the viscosity can be categorized as having a linear, non-linear, or plastic response:
- When a material exhibits a linear response it is categorized as a Newtonian material. In this case the stress is linearly proportional to the strain rate.
- If the material exhibits a non-linear response to the strain rate, it is categorized as non-Newtonian fluid.
- There is also an interesting case where the viscosity decreases as the shear/strain rate remains constant. A material which exhibits this type of behavior is known as thixotropic.
- In addition, when the stress is independent of this strain rate, the material exhibits plastic deformation.
An anelastic material is a special case of a viscoelastic material: an anelastic material fully recovers to its original state on the removal of load.
When distinguishing between elastic, viscous, and forms of viscoelastic behavior, it is helpful to reference the time scale of the measurement relative to the relaxation times of the material being observed, known as the Deborah number (De) where: can be modeled in order to determine their stress and strain or force and displacement interactions as well as their temporal dependencies. These models, which include the Maxwell model, the Kelvin–Voigt model, the standard linear solid model, and the Burgers model, are used to predict a material's response under different loading conditions.
Viscoelastic behavior has elastic and viscous components modeled as linear combinations of springs and dashpots, respectively. Each model differs in the arrangement of these elements, and all of these viscoelastic models can be equivalently modeled as electrical circuits.
In an equivalent electrical circuit, stress is represented by current, and strain rate by voltage. The elastic modulus of a spring is analogous to the inverse of a circuit's inductance (it stores energy) and the viscosity of a dashpot to a circuit's resistance (it dissipates energy).
The elastic components, as previously mentioned, can be modeled as springs of elastic constant E, given the formula:
<math display="block">\sigma = E \varepsilon</math>
where σ is the stress, E is the elastic modulus of the material, and ε is the strain that occurs under the given stress, similar to Hooke's law.
The viscous components can be modeled as dashpots such that the stress–strain rate relationship can be given as,
<math display="block">\sigma = \eta \frac{d\varepsilon}{dt}</math>
where σ is the stress, η is the viscosity of the material, and dε/dt is the time derivative of strain.
The relationship between stress and strain can be simplified for specific stress or strain rates. For high stress or strain rates/short time periods, the time derivative components of the stress–strain relationship dominate. In these conditions it can be approximated as a rigid rod capable of sustaining high loads without deforming. Hence, the dashpot can be considered to be a "short-circuit".
Conversely, for low stress states/longer time periods, the time derivative components are negligible and the dashpot can be effectively removed from the system – an "open" circuit. or
).
Kelvin–Voigt model
right|thumb|upright=0.6|Schematic representation of Kelvin–Voigt model
The Kelvin–Voigt model, also known as the Voigt model, consists of a Newtonian damper and Hookean elastic spring connected in parallel, as shown in the picture. It is used to explain the creep behaviour of polymers.
The constitutive relation is expressed as a linear first-order differential equation:
<math display="block">\sigma = E \varepsilon + \eta \dot {\varepsilon}</math>
This model represents a solid undergoing reversible, viscoelastic strain. Upon application of a constant stress, the material deforms at a decreasing rate, asymptotically approaching the steady-state strain. When the stress is released, the material gradually relaxes to its undeformed state. At constant stress (creep), the model is quite realistic as it predicts strain to tend to σ/E as time continues to infinity. Similar to the Maxwell model, the Kelvin–Voigt model also has limitations. The model is extremely good with modelling creep in materials, but with regards to relaxation the model is much less accurate.
This model can be applied to organic polymers, rubber, and wood when the load is not too high.
Standard linear solid model
The standard linear solid model, also referred as the Kelvin or Zener model, consists of two springs and a dashpot. This model is referred as Kelvin model by some authors, as Lord Kelvin (William Thomson) observed that the rate of dissipation of energy increases less rapidly than the square of the frequency as predicted by a simple Voigt Model. Finally, he concluded that simple Voigt Model does not corresponds to reality . However, the standard linear solid model formally proposed by John Henry Poynting and Joseph John Thomson in 1902
center|thumb|Jeffreys model
It was proposed in 1929 by Harold Jeffreys to study Earth's mantle.
Burgers model
The Burgers model consists of either two Maxwell components in parallel or a Kelvin–Voigt component, a spring and a dashpot in series. For this model, the governing constitutive relations are:
{|class="wikitable" style="text-align: center;"
! Maxwell representation
! Kelvin representation
|-----
| 200px
| 200px
|-----
|<math> \sigma + \left( \frac {\eta_1} {E_1} + \frac {\eta_2} {E_2} \right) \dot\sigma +
\frac {\eta_1 \eta_2} {E_1 E_2} \ddot\sigma = \left( \eta_1 + \eta_2 \right) \dot\varepsilon +
\frac {\eta_1 \eta_2 \left( E_1 + E_2 \right)} {E_1 E_2} \ddot\varepsilon</math>
|<math> \sigma + \left( \frac {\eta_1} {E_1} + \frac {\eta_2} {E_1} + \frac {\eta_2} {E_2} \right) \dot\sigma +
\frac {\eta_1 \eta_2} {E_1 E_2} \ddot\sigma = \eta_2\dot\varepsilon +
\frac {\eta_1 \eta_2} {E_1} \ddot\varepsilon</math>
|}
This model incorporates viscous flow into the standard linear solid model, giving a linearly increasing asymptote for strain under fixed loading conditions.
Generalized Maxwell model
right|thumb|upright=1.4|Schematic of Maxwell-Wiechert Model
The generalized Maxwell model, also known as the Wiechert model, is the most general form of the linear model for viscoelasticity. It takes into account that the relaxation does not occur at a single time, but at a distribution of times. Due to molecular segments of different lengths with shorter ones contributing less than longer ones, there is a varying time distribution. The Wiechert model shows this by having as many spring–dashpot Maxwell elements as necessary to accurately represent the distribution. The figure on the right shows the generalised Wiechert model.
Applications: metals and alloys at temperatures lower than one quarter of their absolute melting temperature (expressed in K) and characterizing elastic efficiency.
Constitutive models for nonlinear viscoelasticity
Non-linear viscoelastic constitutive equations are needed to quantitatively account for phenomena in fluids like differences in normal stresses, shear thinning, and extensional thickening.
Second-order fluid
The second-order fluid is typically considered the simplest nonlinear viscoelastic model, and typically occurs in a narrow region of materials behavior occurring at high strain amplitudes and Deborah number between Newtonian fluids and other more complicated nonlinear viscoelastic fluids.
The model can be written as:
<math display=block> \mathbf{T} + \lambda_1 \stackrel{\nabla}{\mathbf{T = 2\eta_0 (\mathbf{D} + \lambda_2 \stackrel{\nabla}{\mathbf{D) </math>
where:
- <math>\mathbf{T}</math> is the stress tensor;
- <math>\lambda_1</math> is the relaxation time;
- <math>\lambda_2</math> is the retardation time = <math> \frac{\eta_s}{\eta_0}\lambda_1 </math>;
- <math> \stackrel{\nabla}{\mathbf{T </math> is the upper convected time derivative of stress tensor:<math display=block> \stackrel{\nabla}{\mathbf{T = \frac{\partial}{\partial t} \mathbf{T} + \mathbf{v} \cdot \nabla \mathbf{T} -( (\nabla \mathbf{v})^T \cdot \mathbf{T} + \mathbf{T} \cdot (\nabla \mathbf{v})); </math>
- <math>\mathbf{v}</math> is the fluid velocity;
- <math>\eta_0</math> is the total viscosity composed of solvent and polymer components, <math> \eta_0 = \eta_s + \eta_p </math>;
- <math>\mathbf {D}</math> is the deformation rate tensor or rate of strain tensor, <math>\mathbf{D} = \frac{1}{2} \left[\boldsymbol\nabla \mathbf{v} + (\boldsymbol\nabla \mathbf{v})^T\right]</math>.
Whilst the model gives good approximations of viscoelastic fluids in shear flow, it has an unphysical singularity in extensional flow, where the dumbbells are infinitely stretched. This is, however, specific to idealised flow; in the case of a cross-slot geometry the extensional flow is not ideal, so the stress, although singular, remains integrable, although the stress is infinite in a correspondingly infinitely small region.
Prony series
In a one-dimensional relaxation test, the material is subjected to a sudden strain that is kept constant over the duration of the test, and the stress is measured over time. The initial stress is due to the elastic response of the material. Then, the stress relaxes over time due to the viscous effects in the material. Typically, either a tensile, compressive, bulk compression, or shear strain is applied. The resulting stress vs. time data can be fitted with a number of equations, called models. Only the notation changes depending on the type of strain applied: tensile-compressive relaxation is denoted <math>E</math>, shear is denoted <math>G</math>, bulk is denoted <math>K</math>. The Prony series for the shear relaxation is
<math display=block>
G(t) = G_\infty + \sum_{i=1}^{N} G_i \exp(-t/\tau_i)
</math>
where <math>G_\infty</math> is the long term modulus once the material is totally relaxed, <math>\tau_i</math> are the relaxation times (not to be confused with <math>\tau_i</math> in the diagram); the higher their values, the longer it takes for the stress to relax. The data is fitted with the equation by using a minimization algorithm that adjust the parameters (<math>G_\infty, G_i, \tau_i</math>) to minimize the error between the predicted and data values.
An alternative form is obtained noting that the elastic modulus is related to the long term modulus by
<math display=block>
G(t=0) = G_0 = G_\infty+\sum_{i=1}^{N} G_i
</math>
Therefore,
<math display=block>
G(t) = G_0 - \sum_{i=1}^{N} G_i \left[1-e^{-t / \tau_i}\right]
</math>
This form is convenient when the elastic shear modulus <math>G_0</math> is obtained from data independent from the relaxation data, and/or for computer implementation, when it is desired to specify the elastic properties separately from the viscous properties, as in Simulia (2010).
A creep experiment is usually easier to perform than a relaxation one, so most data is available as (creep) compliance vs. time. Unfortunately, there is no known closed form for the (creep) compliance in terms of the coefficient of the Prony
series. So, if one has creep data, it is not easy to get the coefficients of the (relaxation) Prony series, which are needed for example in. or the Standard Solid Model (eq. 7.20-7.21) in Barbero (2007) Because thermal motion is one factor contributing to the deformation of polymers, viscoelastic properties change with increasing or decreasing temperature. In most cases, the creep modulus, defined as the ratio of applied stress to the time-dependent strain, decreases with increasing temperature. Generally speaking, an increase in temperature correlates to a logarithmic decrease in the time required to impart equal strain under a constant stress. In other words, it takes less work to stretch a viscoelastic material an equal distance at a higher temperature than it does at a lower temperature.
More detailed effect of temperature on the viscoelastic behavior of polymer can be plotted as shown.
There are mainly five regions (some denoted four, which combines IV and V together) included in the typical polymers.
- Region I: Glassy state of the polymer is presented in this region. The temperature in this region for a given polymer is too low to endow molecular motion. Hence the motion of the molecules is frozen in this area. The mechanical property is hard and brittle in this region.
- Region II: Polymer passes glass transition temperature in this region. Beyond Tg, the thermal energy provided by the environment is enough to unfreeze the motion of molecules. The molecules are allowed to have local motion in this region hence leading to a sharp drop in stiffness compared to Region I.
- Region III: Rubbery plateau region. Materials lie in this region would exist long-range elasticity driven by entropy. For instance, a rubber band is disordered in the initial state of this region. When rubber band is stretched, the structure is aligned to be more ordered. Therefore, when releasing the rubber band, it spontaneously seeks a higher-entropy state and hence goes back to its initial state. This is entropy-driven elasticity shape recovery.
- Region IV: The behavior in the rubbery flow region is highly time-dependent. Polymers in this region would need to use a time-temperature superposition to get more detailed information to cautiously decide how to use the materials. For instance, if the material is used to cope with short interaction time purpose, it could present as 'hard' material. While using for long interaction time purposes, it would act as 'soft' material.
- Region V: Viscous polymer flows easily in this region. Another significant drop in stiffness.
thumb|Temperature dependence of modulus
Extreme cold temperatures can cause viscoelastic materials to change to the glass phase and become brittle. For example, exposure of pressure sensitive adhesives to extreme cold (dry ice, freeze spray, etc.) causes them to lose their tack, resulting in debonding.
Viscoelastic creep
thumb|a) Applied stress and b) induced strain as functions of time over a short period for a viscoelastic material
When subjected to a step constant stress, viscoelastic materials experience a time-dependent increase in strain. This phenomenon is known as viscoelastic creep.
At time <math>t_0</math>, a viscoelastic material is loaded with a constant stress that is maintained for a sufficiently long time period. The material responds to the stress with a strain that increases until the material ultimately fails, if it is a viscoelastic liquid. If, on the other hand, it is a viscoelastic solid, it may or may not fail depending on the applied stress versus the material's ultimate resistance. When the stress is maintained for a shorter time period, the material undergoes an initial strain until a time <math>t_1</math>, after which the strain immediately decreases (discontinuity) then gradually decreases at times <math>t > t_1</math> to a residual strain.
Viscoelastic creep data can be presented by plotting the creep modulus (constant applied stress divided by total strain at a particular time) as a function of time. Below its critical stress, the viscoelastic creep modulus is independent of stress applied. A family of curves describing strain versus time response to various applied stress may be represented by a single viscoelastic creep modulus versus time curve if the applied stresses are below the material's critical stress value.
Viscoelastic creep is important when considering long-term structural design. Given loading and temperature conditions, designers can choose materials that best suit component lifetimes.
Measurement
Shear rheometry
Shear rheometers are based on the idea of putting the material to be measured between two plates, one or both of which move in a shear direction to induce stresses and strains in the material. The testing can be done at constant strain rate, stress, or in an oscillatory fashion (a form of dynamic mechanical analysis). Shear rheometers are typically limited by edge effects where the material may leak out from between the two plates and slipping at the material/plate interface.
Extensional rheometry
Extensional rheometers, also known as extensiometers, measure viscoelastic properties by pulling a viscoelastic fluid, typically uniaxially. Because this typically makes use of capillary forces and confines the fluid to a narrow geometry, the technique is often limited to fluids with relatively low viscosity like dilute polymer solutions or some molten polymers. This method uses a constant sample length throughout the experiment, and supports the sample in between the rollers via an air cushion to eliminate sample sagging effects. It does suffer from a few issues – for one, the fluid may slip at the belts which leads to lower strain rates than one would expect. Additionally, this equipment is challenging to operate and costly to purchase and maintain.
The FiSER rheometer simply contains fluid in between two plates. During an experiment, the top plate is held steady and a force is applied to the bottom plate, moving it away from the top one. The strain rate is measured by the rate of change of the sample radius at its middle. It is calculated using the following equation:
<math display="block">\dot{\epsilon} = -\frac{2}{R}{dR \over dt}</math>
where <math>R</math> is the mid-radius value and <math>\dot{\epsilon}</math> is the strain rate. The viscosity of the sample is then calculated using the following equation:
<math display="block">\eta = \frac{F}{\pi R^2 \dot{\epsilon</math>
where <math>\eta</math> is the sample viscosity, and <math>F</math> is the force applied to the sample to pull it apart.
Much like the Meissner-type rheometer, the SER rheometer uses a set of two rollers to strain a sample at a given rate. It then calculates the sample viscosity using the well known equation:
<math display="block">\sigma = \eta \dot{\epsilon}</math>
where <math>\sigma</math> is the stress, <math>\eta</math> is the viscosity and <math>\dot{\epsilon}</math> is the strain rate. The stress in this case is determined via torque transducers present in the instrument. The small size of this instrument makes it easy to use and eliminates sample sagging between the rollers. A schematic detailing the operation of the SER extensional rheometer can be found on the right.
thumb|Schematic of the SER extensional rheometer. The sample (brown) is held to two cylinders (grey) which are then counterrotated at varying strain rates. The torque required to strain the sample at these rates is calculated via a set of torque transducers present in the instrument. These torque values are then converted to stress values, and the stresses and strain rates are then used to determine the viscosity of the sample.
Other methods
Though there are many instruments that test the mechanical and viscoelastic response of materials, broadband viscoelastic spectroscopy (BVS) and resonant ultrasound spectroscopy (RUS) are more commonly used to test viscoelastic behavior because they can be used above and below ambient temperatures and are more specific to testing viscoelasticity. These two instruments employ a damping mechanism at various frequencies and time ranges with no appeal to time–temperature superposition. Using BVS and RUS to study the mechanical properties of materials is important to understanding how a material exhibiting viscoelasticity performs.
See also
- Bingham plastic
- Biomaterial
- Biomechanics
- Blood viscoelasticity
- Constant viscosity elastic fluids
- Deformation index
- Glass transition
- Pressure-sensitive adhesive
- Rheology
- Rubber elasticity
- Silly Putty
- Viscoelasticity of bone
- Viscoplasticity
- Visco-elastic jets
References
- Silbey and Alberty (2001): Physical Chemistry, 857. John Wiley & Sons, Inc.
- Alan S. Wineman and K. R. Rajagopal (2000): Mechanical Response of Polymers: An Introduction
- Allen and Thomas (1999): The Structure of Materials, 51.
- Crandal et al. (1999): An Introduction to the Mechanics of Solids 348
- J. Lemaitre and J. L. Chaboche (1994) Mechanics of solid materials
- Yu. Dimitrienko (2011) Nonlinear continuum mechanics and Large Inelastic Deformations, Springer, 772p
