Research Article  Open Access
ViscoelasticViscoplastic Modelling of the Scratch Response of PMMA
Abstract
This paper aims at understanding how to model the timedependent behavior of PMMA during a scratch loading at a constant speed and at middle strain levels. A brief experimental study is first presented, consisting of the analysis of microscratches carried out at various scratching velocities and normal loads. The loading conditions have been chosen in such a way that neither (visco)elasticity nor (visco)plasticity of the PMMA may be neglected a priori. The main analyzed parameter is the tip penetration depth measured during the steady state. Then, a finite element model is used to investigate the potential of classical elasticviscoplastic constitutive models to reproduce these experimental results. It is mainly shown that these models lead to unsatisfying results. More specifically, it is pointed out here that the timeindependent Young modulus used in such models is not suitable. To take into account this feature, a viscoelasticviscoplastic model based on the connection in series of a viscoelastic part with a viscoplastic part is proposed. It is shown that it leads to more acceptable results, which points out the importance of viscoelasticity in the scratch behavior of solid polymers.
1. Introduction
The scratch test is one of the most efficient tests to investigate the mechanical resistance of coated and uncoated surfaces [1–3]. In a typical single pass scratch test, a hard indenter slides along the surface of a relatively soft material (see Figure 1). Depending on the materials and on the scratch conditions, crack propagations [4, 5] and/or elasticplastic deformations are observed [6, 7]. The scratch test on amorphous polymers has been widely investigated during the past ten years [8–14], because of the large use of amorphous polymer films as surface protection in many industrial sectors. It is now well known that the scratch resistance of amorphous polymers depends on the scratching speed and on the load applied on the tip [15, 16]. It points out their complex mechanical behavior which depends strongly on strain and strain rate levels and on the temperature. Three kinds of constitutive models are commonly used: viscoelastic models [17] for low strain levels, elasticviscoplastic models [18] for large strain levels, and viscoelasticviscoplastic models [19] for middle strain levels. These different strain levels are illustrated in Figure 2. In the case of scratch loadings, it is difficult to state on the appropriate model to use [20, 21]. Indeed, depending on the scratch conditions, the strain levels can be very different, and thus different phenomena have to be taken into account to really understand the scratch behavior of such materials. For instance, one issue addresses the necessity to take into account the viscoelasticity at small strains. One other issue could concern the influence of the strain softening or the effect of the hyperelastic hardening on the scratch results. The present paper focuses on the timedependent properties (viscoelasticity, viscoplasticity) of the PMMA and their relation to the scratch response. The aim of this paper is to determine which is the best model to reproduce the influence of the scratching speed induced by a rigid spherical indenter on a PMMA.
Such investigations cannot only be based on experimental measurements, because viscoelasticity and viscoplasticity may have a similar effect on the measured penetration depth, contact pressure, and friction coefficient [22] at given loads and scratching speeds. Finite element calculations appear as a great help for such an investigation because it allows to understand the own influence of each material property on the scratch response. The finite element method has often been used in the past to understand phenomena occurring during scratch tests on semiinfinite homogeneous solids [6, 7, 13, 20, 23–25] or on coating over substrate systems [3, 26, 27]. Here, we propose a coupled experimental and numerical investigation to address this issue.
Let us now describe the scratch test realized. At fixed normal load, penetration of the tip increases during the indentation stage up to the static mechanical balance. When the tip begins its tangential displacement, the contact area decreases by the rear face of the tip. That leads to a new increase of the penetration depth to satisfy the static mechanical balance. Then, a frontal ridge is created and grows until the steady state is reached, which leads also to a decrease of the penetration depth (Figure 1). The analysis of this transient regime is very difficult because it depends both on the kinematics of the indentation stage and on the scratch stage. Moreover, the static adhesion should also have a strong influence. Consequently, in this paper, only the results in the steady state are investigated.
This paper is splitted into a brief experimental part and a modelling part. The experimental approach consists in the analysis of microscratches carried out on PMMA samples at different scratching velocities and at different normal loads. The loading conditions have been chosen in such a way that neither the (visco)elasticity nor (visco)plasticity of the PMMA may be neglected a priori. The main analyzed parameter is the penetration depth of the tip measured during the steady state. The modeling part aims at determining the constitutive model that can reproduce the experimental results with enough accuracy. First, the standard elasticviscoplastic model developed by Argon and later improved by Arruda and Boyce (AB model in the sequel) is used. It is shown that this model is not accurate enough. More specifically, it is pointed out here that the timeindependent Young modulus used in such models is not suitable. To take into account this feature, a viscoelasticviscoplastic model based on the connection in series [22] of the classical viscoelastic model and the AB viscoplastic model is proposed. It is shown that this model leads to more acceptable results. Finally, we conclude on the importance to take into account viscoelasticity to model the scratch behavior of solid polymers.
2. Experimental Study
2.1. Scratch Experiments
The scratch tests are performed with the nanoindenter XP from Agilent. This device is set on an air table, and the whole system is installed in a thermal room. The temperature, the normal load, and the scratch velocity are controlled [28]. The penetration depth of the tip is measured. Two samples of PMMA from two different suppliers are scratched three times in the same conditions in order to ensure the stability and the reproducibility of the results. Nine series of microscratch are carried out for three normal loads, mN, mN, and mN, and three tip velocities μm·s^{−1}, μm·s^{−1}, and μm·s^{−1} with a spherical tip (radius μm). The whole experiments are performed at the room temperature (°C) with the scratch distance of μm. The steady state has been reached for each scratch. The results are summarized in Table 1. The measured friction coefficient is about 0.15 for each scratch.

2.2. Analysis
As shown in Table 1, the penetration depth is maximum for the highest normal load and the lowest scratching speed used. According to many authors [20, 29], the average strain level induced by a scratch test can be estimated using the same formula as for indentation test where a is the contact radius and is a coefficient. For indentation test, is about 0.2 whereas for scratch test is about 0.5–1. Neglecting piling up or sinkingin phenomena, the contact radius equals to the geometrical contact radius which may be estimated directly from penetration depth by the following equation: Here, the ratio is about 0.25–0.35. According to Pelletier et al. [29], it corresponds to the middle strain level for PMMA, where both viscoelasticity and viscoplasticity may affect the scratch response of the PMMA. Let us also note that at such a strain level, the hyperelastic hardening has a very weak influence on the PMMA mechanical response contrary to viscoelasticity.
Let us now focus on the effect of the scratch speed: the results summarized in Table 1 point out that whatever the normal load is, decreases when increases. Consequently, the contact area should also decrease when increases, which indicates that the mean contact pressure—usually called hardness—increases with the tip velocity. As shown in previous papers [3, 22], the increase in mean contact pressure with scratching speed is a clue that the scratched material exhibits a timedependent behavior. This could be explained with the help of the scratch representative parameters as shown by Aleksy et al. [22]. Similarly to indentation testing [30, 31], the representative stress is proportional to the mean contact pressure. According to Briscoe et al. [32], the representative strain rate is given by For a given normal load, the increase in leads to a decrease in and, according to (3), an increase in . As the mean contact pressure also increases when increases, it points out that the representative stress depends on the representative strain rate. Consequently, the PMMA exhibits a timedependent behavior during such a scratch test. As shown by Aleksy et al. [22], both viscoelasticity and viscoplasticity may lead to the same result. The aim of the following section is to state whether viscoelasticity and/or viscoplasticity are the the most suitable models to describe the scratch behavior of PMMA at such middle strain levels.
As a preliminary conclusion, this experimental study points out that the mechanical behavior of the PMMA depends on the representative strain rate during the scratch test which is in good agreement with the literature on this subject [8, 32] and also with the tensile and compressive behavior of this wellknown timedependent material.
3. Numerical Investigation
The aim of the numerical investigation is to determine the best model which reproduces the experimental variation of steady state penetration depth with the tip velocity. Experiments have highlighted the timedependent behavior of the PMMA. As microscratches at such strain levels involve residual grooves [29], therefore the simplest model to be employed is an elasticviscoplastic one. However, the Young modulus of the glassy amorphous polymers is well known to depend on the strain rate, which is an evidence of a viscoelastic behaviour. In this section, we try to adress the following issue: Is the elasticviscoplastic model accurate enough or is it necessary to use a combined viscoelasticviscoplastic model?
3.1. Numerical Model
The simulation of a scratch test on a polymeric material is nontrivial because of two major numerical problems: contact with friction under large displacement and large deformations which could induce severe mesh distortions. All of these problems have been treated in previous articles [3, 7, 22], and this is the reason why they are not described in details in the present paper, to focus on the main goal of this work: the mechanical behaviour of PMMA under a scratch loading.
The scratch test presents a symmetry plane, , defined by the indentation axis and the scratching axis (Figure 3). Consequently, the numerical study can be carried out on half of the domain. The finite element domain is a right angled parallelepiped.
The dimensions of this domain have been chosen high enough to avoid boundary effects. The mesh is constituted of 8nodebrick isoparametric element with selectivereduced integration scheme to ensure plastic incompressibility. The numerical simulations are performed using a large displacement/large strain option (updated Lagrangian formulation). To increase the computation accuracy and to limit the computation time, the mesh is refined in the vicinity of the scratch. The contact and friction inequalities are solved using the penalty method [33]. For very low levels of scratching conditions (small penetration compared to tip radius, low friction coefficient), numerical simulations can be performed without remeshing algorithm. Let us note that an automatic remeshing procedure was implemented in the finite element software Systus to study more severe scratching conditions [3].
Similarly to the experimental study, the tip radius is μm, the temperature is °C, the tip velocities are μm·s^{−1}, μm·s^{−1}, and μm·s^{−1}, and the normal load is constant and identical to the experimental one ( mN, mN and mN). However, the numerical loading is achieved by controlling the quasistatic displacement of the indenter. A specific algorithm has thus been developed in the finite element software (Systus) to ensure the control of the load. It adjusts the vertical displacement to maintain the normal load constant, at each time step. Let us note that the adhesion friction coefficient (Coulomb) is adapted at each velocity and each normal load to exactly reproduce the friction coefficient measured during the experimental microscratches ( [2, 34]).
3.2. ElasticViscoplastic Modeling
Typical tensile stress/strain curves obtained for amorphous glassy polymers are represented in Figure 2. This mechanical behavior can be easily described with an elasticviscoplastic formulation [35–37]. Such model can be constituted by three rheological elements connected as in Figure 4. The first spring represents the linear elasticity referring to the behavior at small strains. The dashpot, here assumed as a viscoplastic element, represents the timedependence yield stress and the strain softening of such materials in plastic regime. The second spring refers to the nonlinear elastic strain hardening of amorphous polymers, which is similar to the hyperelastic behavior of elastomeric materials [18, 38, 39].
3.2.1. Constitutive Model
The PMMA elasticviscoplastic behavior is here modeled with the modified ArrudaBoyce model [18, 40, 41]. It is composed of an Argon viscosity [42], in parallel with a Langevin rubbery hyperelasticity. This element, used to model the strain hardening, is not accounted for in the present paper because we have observed that for a scratch severity lower than , the strain level is not high enough to activate this element. Finally, a linear elasticity is added in, series in order to model the behavior at small strains (Figure 5). Scalar equation of the Argon viscous element is written: where is the plastic shear strain rate, s^{−1} and are material constants, is the effective equivalent shear strength, is Boltzmann’s constant, is absolute temperature, and is the athermal shear strength. This strength varies during strain softening according to where MPa is the softening slope, is the athermal shear strength without strain softening, and is the preferred state of the material (). is the elastic shear modulus, and the Poisson ratio is assumed to be constant and equal to . Different values of the Young modulus have been used in order to highlight its effect on the scratch response. More specifically, two different values have been used at each normal load. They have been chosen in order to fit the experiments for the lowest and highest scratch speeds. The numerical results constitute the upper bound and lower bound of the experiments. These values are consistent with the classical value of the Young modulus of the PMMA [43–45].
3.2.2. Numerical Results
The variation of the penetration depth with the scratch speed is shown in Figure 6 for mN. The data denoted that corresponds to the experimental data whereas GPa (resp., GPa) are those calculated with the FEM model in using a Young modulus of 3.25 GPa (resp., 3.75 GPa).
One can firstly observe that the slope of the decrease of the penetration depth calculated with the FEM is less pronounced than the experimental one. It means that the timedependent behavior of the PMMA is not well reproduced with this elasticviscoplastic model in these conditions ( and ). One can also observe that the Young modulus has to be adapted to the tip velocity (i.e., to say the representative strain rate) to fit the experimental data. Figures 7 and 8 show the penetration depth in different tip velocities for and . Here again, the same conclusions can be drawn.
The major assumption in this study is that the Young modulus remains time independent. However, this parameter is well known to depend on the strain rate for most polymers in particular for the PMMA [45, 46]. This aspect could explain the bad agreement between experimental and numerical results. Such phenomenon is often modeled by using a viscoelastic model [47].
It can also be observed that the Young modulus which fits the experimental variation depends also on the value of the normal load used. For instance, a Young modulus of 3.75 GPa is required to fit the penetration depth corresponding to μm·s^{−1} and , whereas a Young modulus of 3.25 GPa is required to fit the penetration depth corresponding to μm·s^{−1} and . Here again, this result is consistent with a viscoelastic behavior, since the elastic modulus depends on the strain rate [22]. Indeed, the higher the load, the higher the contact radius and according to (3), the lower the representative strain rate and thus the lower the elastic modulus. However, prior to start a more complex viscoelasticviscoplastic investigation, we have studied the influence of the viscoplastic parameters on the penetration depth. Indeed, the set of the parameters used here has been identified by Arruda and Boyce [18] from macroscopic compression testing and thus, it could be not appropriate to model the response of our PMMA samples at such a microscopic scale.
3.2.3. A New Set of Viscoplastic Parameters
In this section, we attempt to fit the experimental data by modifying the viscoplastic parameters of ArrudaBoyce model [18]. The strategy consists in determining the values of theses parameters leading to the closest results to for . Then, this set of parameters is used to simulate microscratches at and , and the results are compared with experiments.
The first step deals with the determination of the Young modulus. The original value provided by Arruda and Boyce [18] is . By applying the elastic theory of Hertz given by (6), the penetration depth in the case of a purely linear elastic contact should be equal to at :
The elastic behavior constitutes the limit state of the elasticviscoplastic framework for extremely high strain rate. In our study that means that elastic simulations lead necessary to less deep penetration than elasticviscoplastic simulations, for identical Young modulus. However, elastic theory provides (with ) which is deeper than experimental penetration. It can thus be concluded that cannot be applied. appears to be the most accurate value (for ).
The second step consists in determining the most suitable set of parameters of the viscoplastic element. This element is governed by (4) rewritten as
The modification of parameters and alters the viscoplastic response. modifies the sensitivity to the strain rate, and is the strain rate corresponding to the athermal shear stress . Several scratch simulations have been carried out for with various values of and . The best results according to experiments are shown in Figure 9. They have been obtained with: m^{3} and s^{−1}. One can observe the penetration depth in different tip velocities. A very good agreement is obtained between numerical and experimental results. Before concluding about the accuracy of this elasticviscoplastic model, this result needs to be confirmed for the other normal loads.
Two series of simulations have been thus carried out at and with this particular set of parameters ( GPa, m^{3}, and s^{−1}). Figures 10 and 11 show the penetration depth obtained in this way compared to the experimental one. Firstly, the numerical penetration at each tip velocity and each normal load is significantly different to the experimental one. Secondly, the variation of the numerical penetration depth with the tip velocity at each normal load does not reproduce the experimental one. As a conclusion, this elasticviscoplastic model is not appropriate even after the adjustment of its parameters. In this context, we propose to investigate the addition of a viscoelastic model to this viscoplastic one.
3.3. ViscoelasticViscoplastic Model with the “Series Model”
To account for both viscoelasticity and viscoplasticity, we have developed a specific algorithm [22], named “series model” in the finite element code Systus. It makes it possible to connect in series two models of any kind (Figure 12). Such algorithm is helpful to combine very quickly whatever models, if their constitutive equations are available in the finite element code in the same framework (updated lagrangian, total lagrangian, etc.). The algorithm uses an iterative process which calculates the dispatching of the strain rate to ensure the equality of the stress tensors. This algorithm can be summarized as in Figure 13. Our case study needs to connect a viscoelastic model with a viscoplastic one.
3.3.1. The ViscoelasticViscoplastic Model
In our case study, model 1 refers to the KelvinVoigt model and model 2 corresponds to the ArrudaBoyce model previously presented in Figure 14. However, the viscoelastic response of the whole model is the consequence of the connection in series of the KelvinVoigt model and the elastic element of ArrudaBoyce model. That constitutes the Poynting model having a viscoelastic transition wide enough to cover the sharp experimental velocities range (only two decades) and the parameters used in the viscoelastic model derived from the elasticviscoplastic simulations. More precisely, the values of the Young modulus chosen in the previous section can be considered as the instantaneous and delayed modulus of the viscoelastic model (Figure 14). The viscous parameter is identified by choosing the best fit to the experimental results at each normal load. The parameters are given in Table 2. One can observe that increases with the normal load . This is meaningful because and also depend on the normal load as observed in the previous section. At a fixed tip velocity, the representative strain rate decreases when increases. Consequently, the range of strain rate shifts toward low values when increases, and thus, a higher viscous parameter is required.

3.3.2. Numerical Results
Figure 15 shows the penetration depth in different scratching velocities at mN. First, the variation of the viscoelasticviscoplastic penetration VEVP is almost the same as the experimental one. Moreover, the viscoelasticviscoplastic penetration VEVP at each tip velocity is very close to the experimental one. That means that the timedependent behavior of the PMMA in scratch test is better reproduced with this viscoelasticviscoplastic model. Figures 16 and 17 show the penetration depth in different scratching velocities at mN and at mN. The same conclusions can be drawn: this viscoelasticviscoplastic model is a pertinent solution to model the timedependent scratch response of the PMMA. But how does this model modify the response to conventional testing? To adress this question, the shear stressstrain curves found by numerical simulation is plotted in Figure 18 using the set of parameters identified. The strain rate dependence of the yield stress level appears to be much pronounced than the strain rate dependence of the elastic modulus. Therefore, it could explain why viscoelasticity has been often neglected in the past for investigating the scratch response of PMMA.
Let us pay attention that the viscoelastic model chosen here is too simplistic to be used in a more global context. In practice, it should be calibrated with the help of DMA testing, which should lead to the connection in series of another KelvinVoigt models. The aim of this paper was not to propose the right model of PMMA in scratch test, but to highlight that the understanding of the scratch behavior of PMMA at middle strain levels requires a viscoelasticviscoplastic model.
4. Conclusions
The investigation presented in this paper aims at understanding which is the best model to reproduce the timedependent scratch behavior of PMMA at middle strain levels. A brief experimental study is first presented. It consists in the analysis of microscratches carried out on PMMA samples at different scratching velocities and at different normal loads. The loading conditions have been chosen in such a way that neitheir the (visco)elasticity nor (visco)plasticity of the PMMA may be neglected a priori. The main analyzed parameter is the penetration depth of the tip measured during the steady state. This experimental part is then followed by a modelling part which aims at determining the best constitutive model, elasticviscoplatic or viscoelasticviscoplastic, which allows to reproduce the experimental results. The standard elasticviscoplastic model developed by Argon and later improved by Arruda and Boyce is used. It is mainly shown that this model leads to non satisfying results. More specifically, it is pointed out here that the timeindependent Young modulus used in such models is not suitable. To take into account this feature, a viscoelasticviscoplastic model based on the connection in series of the classical viscoelastic model and the AB viscoplatic model is proposed. It is shown that this model leads to more acceptable results, which points out the importance of viscoelasticity in the scratch behavior of solid polymers. Nevertheless, the viscoelastic model chosen here is too simplistic to be used in a more global context, because it only covers two decades of scratching speed. The goal of a forthcoming work could be to calibrate the viscoelastic parameters on a larger range in using a spectral approach based on DMA testing for instance.
The aim of this paper was not to propose the right model of PMMA in scratch test. It was to highlight the need to take into account both viscoelasticity and viscoplasticity to understand the scratch behavior of PMMA at middle strain levels. This observation is of primary importance in regards to the mechanical resistance of amorphous polymer films because the effect of viscoelasticity and viscoplasticity on the scratch results are not similar. This methodology can obviously be applied to other amorphous polymers such as PC or PS. One important perspective of this work is the possibility to use the scratch loading to identify the surface mechanical properties of solid polymers. Nevertheless, such investigations require to state on the influence of the mechanical properties affecting the response to a scratch loading to optimize the set of parameters to identify. Up to date, there is only a few papers dealing with this subject, mainly in reason of the difficulties related to the modeling of the scratch loading [3, 7, 13, 25, 29]. The present work can thus be viewed as a first step for this important issue.
Acknowledgments
The authors thank Professors J. L. Loubet and S. Pavan from Ecole Centrale de Lyon, France, for their help in the experimental part of this paper.
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Copyright © 2013 G. Kermouche et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.