Elsevier

Progress in Polymer Science

Volume 30, Issues 8–9, August–September 2005, Pages 915-938
Progress in Polymer Science

Mechanical performance of polymer systems: The relation between structure and properties

https://doi.org/10.1016/j.progpolymsci.2005.06.009Get rights and content

Abstract

A direct relation between molecular characteristics and macroscopic mechanical properties of polymeric materials was subject of a vast number academic and industrial research studies in the past. Motivation was that an answer to this question could, in the end, result in guidelines how to construct tailored materials, either on the molecular level or, in heterogeneous materials, on the micro-scale, that could serve our needs of improved materials without the need of extensive trial and error work. Despite all attempts, no real universally applicable success was reported, and it was only after the introduction of the concept of the polymer's intrinsic deformation behavior that some remarkable progress could be recognized. Thus, it is first important to understand where intrinsic deformation behavior of polymeric materials stands for. Second, it is interesting to understand why this intermediate step is relevant and how it relates to the molecular structure of polymers. Third and, in the end, the most computational-modeling-based question to be answered is how intrinsic behavior relates to the macroscopic response of polymeric materials. This is a multi-scale problem like encountered in many of our present research problems.

Introduction

Bridging the gap between molecular and macroscopic properties, with as extra intermediate step the processing history, see Fig. 1a, is a just as challenging as impossible task. Reason is that the multi-scale problems involved require far too much computational time and computational memory to be resolved via ab initio analyses. Analyses on different scales require averaging the resulting properties from the analysis on the underlying scale, consequently loosing detail. Therefore, alternatives are searched for. A big step forward was made with the development of a video-controlled tensile test by Christian G'Sell at the Ecole des Mines in Nancy [1], [2]. This technique enabled the experimental assessment of the intrinsic deformation behavior: the polymer's stress response measured during homogeneous deformation. More or less simultaneously, Mary Boyce, at MIT, optimized the much more practical uniaxial and plain strain compression tests to obtain similar information in different loading geometries [3], [4]. Reason to be pleased with this intermediate step is twofold. First, our present advanced computational tools and expertise can be successfully used in the relation between the intrinsic behavior and the macroscopic response, the right-hand side of Fig. 1b. Prerequisite for the success of this route was the development of constitutive models that could capture the intrinsic behavior. So let start to focus on this issue. It is known that it took the polymer melt rheology community some half a century to arrive at constitutive equations that are not only valid in simple shear flows but also can deal with extensional flows. The (extended) Pom Pom model quantitatively describes the melt rheology for branched, and even also for linear, polymers, in complex flows and is based on molecular characteristics [5], [6], [7]. Since rheology is based on fluid mechanics, rheologists can be considered as successors of Isaac Newton, thus mathematically educated scientists. Therefore, it is at least remarkable that it took them that much time. The main topics of the rheologist's concern were the quantitative modeling of the deformation rate dependent shear and elongational viscosity and first (and eventually second) normal stress difference, in incompressible homogeneous time dependent start-up flows. Interesting now is that the major problem encountered in the solid state rheology of the same polymers is that they are per definition tested in compressible inhomogeneous start-up flows in extension. Solid state rheologists can be considered as the successors of Robert Hooke. They are practical engineers that have to deal with the impossible interpretation of the most widely used test: the tensile test on a normalized dogbone-shaped sample that, at best, shows only a simple localization behavior, like necking. All relatively recent progress reported in solid state rheology made of course use of the results obtained in the constitutive equations for melts and the good news is that at present the macroscopic response of amorphous polymers to shear and tensile loading can now be quantitatively described. In plain strain 2D, or even in completely 3D computations, in short and in long time loading, in homogeneous and also in heterogeneous systems, once the polymer's intrinsic behavior (and its microstructure in case of heterogeneous systems) is known. Use is made of standard (e.g. Marc, Abaqus) software combined with custom made (Multi-Level-Finite-Element) analyses.

Second, the relation between molecular properties of polymers and their intrinsic behavior, the left-hand side of Fig. 1b, are accessible via well defined experiments that are much easier interpretable than when compared to the results of tensile tests, creep and fatigue tests or Izod impact tests. So let us focus now on the structure of polymers.

Section snippets

Structure of polymers

Polymers are different from other construction materials like ceramics and metals, because of their macromolecular nature. The covalently bonded, long chain structure makes them macromolecules and determines, via the weight averaged molecular weight, Mw, their processability, like spin-, blow-, deepdraw-, generally melt-formability. The number averaged molecular weight, Mn, determines the mechanical strength, and high molecular weights are beneficial for properties like strain-to-break, impact

Intrinsic deformation

Our basic question was: where does the intrinsic behavior of polymers originate from and can we understand it? To answer that, we start with returning to the original work of Haward and Thackray of 1965 who described the material's response with two parallel processes: (i) the initial non-linear elastic response up to yield, controlled by the secondary, intermolecular, interactions, combined with (ii) the entanglement network response in parallel from the primary intramolecular interactions

Physical ageing

What causes the yield stress to increase in time upon ageing? Already in the 1970s it was quantified that upon ageing of amorphous polymers in calorimetry, DSC, a pronounced enthalpy peak develops near the glass transition temperature [39], [40]. Simultaneous with the development of this enthalpy overshoot, the yield stress is observed to increase [41], [42]. Both effects can be rationalized in terms of an evolution of the potential energy landscape [43], [44], [45], [46].

The change in time of

From intrinsic behavior to macroscopic response

The differences between the tough PC and brittle PS are reflected in their intrinsic behavior, see Fig. 5a. The main differences are that in PS the strain softening is more pronounced, while the strain hardening is (much) less. The last is directly related to the entanglement density of PS that is, with an entanglement molecular weight Me of 20.000 versus 2000 for PC, extremely low. If we just change this entanglement density of PS, simply by mixing with poly-phenylene-ether, PPE (with Me of

Life time prediction

With the single state parameter S=SaRγ we were able to predict the polymer's situation from the cradle to the grave. In order to demonstrate this, both the long-term behavior of polymers during static and dynamic loading is investigated as well as the influence of the processing conditions during the formation of the polymer on the development of S and thus on the yield stress. Before starting the long-term loading experiments, the polymer's age is first determined by a single tensile test to

Craze initiation

Although interesting so far, the polymer story is not finished yet with the results obtained on the intrinsic behavior that can reversibly at wish be altered by physical ageing and mechanical rejuvenation. Neither are we finished after the quantification of the polymers response, using advanced constitutive equations that capture the physics appropriately and allow us to predict the polymer's future in dependence of its past given the transient stress and temperature profiles it will experience

Heterogeneous systems

So, although critical distances apparently differ for different polymers, characterized by the ratio of strain hardening and strain softening after yield, the need for heterogeneity is universal and its role is to prevent the first cavity of the first craze to start to grow. Although in practice usually rubber is used as impact modifier, we will start the analysis with a zero modulus rubber, holes, that should prevent the critical triaxial stress state to occur. The problems met in analyzing

Optimal toughness modifier

Apparently for too ductile, too easy to flow, polymers like PS, we need to do a little bit more. In order to increase strain hardening, since that is what we need, we can introduce a smaller Me by mixing PS with PPE, which is the miscible Noryl® blend of GEP see Fig. 11, or alternatively chemically crosslinked PS [53].

A more practical way is to let a rubber shell locally support the straining filaments, not changing the PS properties, but changing the local structure properties to make it more

Brittle-to-tough transitions

Finally, if we apply the craze initiation criterion used in 6 Life time prediction, 7 Craze initiation, 8 Heterogeneous systems, on the deformation of heterogeneous systems, we can find both a temperature induced brittle-to-tough transition, see Fig. 24a, as well as a critical interparticle distance induced transition, see Fig. 24b [87].

The critical interparticle distance originates from the fact that the Tg of a polymer decreases at a surface (and increases at a solid interface) over a depth

Conclusions

The major conclusions to be drawn are that (i) toughness is equivalent to delocalization of strain, (ii) the two types of bonds present make all polymers intrinsically tough, (iii) polystyrene is too ductile to be tough (but supporting shells increase strain hardening of the local structure), (iv) proper constitutive modeling enables to quantitatively describe polymer responses, including the effects of temperature, strain rate, and time (ageing), (v) an independent craze initiation criterion

Acknowledgements

This paper is based on a number of successive and ongoing PhD studies in our group: Marco van der Sanden (1993) on the concept of ultimate toughness, Theo Tervoort (1996) on constitutive modeling, Peter Timmermans (1997) on modeling of necking, Robert Smit (1998) on the multi-level finite element method, Bernd Jansen (1998) on microstructures for ultimate toughness, Harold van Melick (2002) on quantitative modeling, Bernard Schrauwen (2003) on semi-crystalline polymers, Hans van Dommelen (2003)

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