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14 Durability 14.1 INTRODUCTION Aging can be defined as a slow and irreversible (in use conditions) variation of a material’s structure, morphology and/or composition, leading to a deleterious change of use properties. The cause of this change can be the proper material’s instability in use conditions or its interaction with the environment (oxidation, hydrolysis, photochemical, radiochemical, or bio- chemical reactions, etc.). Aging becomes a difficult problem to study in practice, because it proceeds too slow in use conditions (typical lifetime of years). It is then necessary to make accelerated aging tests to build kinetic models that describe the time changes of the material’s behaviour, and to use these models to predict the durability from a conventional lifetime criterion. Indeed, the pertinence of the choice of accelerated aging conditions, the mathematical form of kinetic model, and lifetime criterion has to be proved. Empirical models are highly questionable in this domain because they have to be used in extrapolations for which they are not appropriate. In the ideal case, an aging study would involve the following steps: (a) Identification of aging mechanisms through physical and analy- tical observations. (b) Kinetic modeling based on the previously established mechanistic scheme (diffusion law, chemical kinetics, etc.). (c) Prediction of use properties from the structural state using poly- mer physics. Among polymers, thermosets are especially difficult to study for many reasons: structural complexity, making difficult the chemical analysis, lack of rigorous tools to investigate the macromolecular structure; lack of phy- sical theories to interpret the change of properties (e.g., embrittlement) against structural changes. These difficulties are again increased, sometimes considerably, by the fact that thermosets are generally used in composites or as adhesives, e.g., in applications where aging can result also from a change of the interfacial properties and in which certain key properties, e.g., the rubbery modulus, are practically inaccessible. Despite these difficulties, the practical importance of durability in composite or adhesive applications, has given rise to a vast amount of literature in this field during the past decades. Most of the studies deal with two main aging cases: 1. ‘‘humid aging’’ in liquid media (boats, pipes, tanks, etc.) or in wet atmospheres (aerospace structural parts, (e.g., helicopter blades) 2. ‘‘thermal aging’’ at high temperatures in processing as well as in use conditions (engine parts, electrical insulations, etc.). Both domains constitute the main sections of this chapter. Photochemical or radiochemical aging are not examined here for many reasons: 1. The literature on thermosets in these domains is very scarce. Most authors use theoretical concepts and experimental methods elaborated for linear polymers, and extensive reviews are avail- able (Ranby and Rabek, 1975). 2. For photochemical aging, it is well known that photooxidation affects only a thin superficial layer directly exposed to solar radiation – a few dozens of micrometers in the case of epoxies (Bellenger and Verdu, 1983). Thus the aging mode cannot con- trol the material’s lifetime in most cases (composites, adhesives), except for applications such as, for example, varnishes of auto- motive bodies (Bauer et al., 1992). 3. Radiochemical aging has very specific applications. The uses of thermosets in nuclear engineering have been growing. Most of the data on radiochemical aging of thermosets, available at the beginning of the 1990s, has been reviewed (Wilski, 1991). Durability 421 14.2 AGING RESULTING FROM WATER ABSORPTION 14.2.1 Reversible and Irreversible; Physical and Chemical Aging A simple and very useful method of studying humid aging consists of expos- ing an initially dry sample in a medium at constant temperature and relative humidity (or water activity in immersion) and recording weight changes. Various types of gravimetric curves can be obtained; the most frequent ones are shown in Fig. 14.1. In case (a), an equilibrium is reached. It can be considered here that there are only reversible physical interactions between the polymer and water. Drying leads to a curve that is practically a mirror image of the absorption curve. The behavior of the material can be characterized by two quantities: the equilibrium water concentration W 1 , which charac- terizes the polymer affinity for water (hydrophilicity), and the duration t D of the transient, which is sharply linked to the sample thickness L and to a parameter characteristic of the rate of transport of water molecules in the polymer – the diffusion coefficient D. In cases (b) and (b 0 ) there is no equilibrium; the mass increases con- tinuously or decreases after a maximum, which indicates the existence of an irreversible process – chemical, hydrolysis, or physical, damage; microcavi- tation increases the capacity of the material for water sorption. The experi- mental curves having the shape of curves (b) or (b 0 ), indicate that the irreversible processes induce significant mass changes in the timescale of diffusion. When the irreversible processes are significantly slower than dif- fusion, the behavior shown by curves (c) or (d) is observed. The sorption equilibrium is reached at t t D , and a plateau can be observed in the curve 422 Chapter 14 FIGURE 14.1 Shape of the kinetic curves of mass change in the most frequent cases of humid aging. before irreversible changes become significant. Since both reversible and irreversible processes are influenced in dis- tinct ways by temperature and water activity, the first step of a humid aging study consists of searching for the conditions (T, RH, sample thickness) in which both phenomena can be clearly decoupled, as in Figs 14.1c and d. The interpretation of experimental results and the modeling of the kinetics of property changes would be difficult or even impossible if physical character- istics such as W 1 and t D (or better D) were not known. To distinguish between physical and chemical aging, one needs analy- tical data on structural changes (chain scission by hydrolysis, decrease of crosslink density, evolution of small molecules resulting from degradation). Visual and microscopic observations enable us to detect damage. In the most complicated case, chemical degradation and mechanical damage are sharply coupled (osmotic cracking). The following section is devoted to physical, reversible, water–polymer interactions and water diffusion. 14.2.2 Hydrophilicity Polymer hydrophilicity can be judged in the cases (a), (c), or (d) of Fig. 14 .1. It is defined as the affinity of a polymer for water, which can be quantified by the equilibrium mass gain, W 1 , determined in standard conditions, e.g., in a saturated atmosphere from a sorption experiment. W 1 depends on the vapor pressure or activity of water and on the temperature. It varies, typi- cally from 0 to 10% in most networks. a. Influence of Vapor Pressure or Activity of Water W 1 is usually obtained by weighing: W 1 ¼ Asymptotic mass initial mass Initial mass ð14:1Þ The water equilibrium mass fraction is given by m 1 ¼ W 1 1 þ W 1 ð14:2Þ For rough estimations, one can use m 1 W 1 . The water equilibrium concentration is expressed by C 1 ¼ w 0:018 W 1 1 þ W 1 ðmol m 3 if w is expressed in kg m 3 Þ ð14:3Þ where w is the density in the wet state; C 1 is linked to the water vapor pressure, p, by a more or less complex law depending on the sorption Durability 423 mechanism. For a low-to-moderate hydrophilic behavior, it may be assumed that Henry’s law is valid, at least in a first approximation: C 1 ¼ S p ð14:4Þ where S is the solubility coefficient. Thus, in the domain of validity of Henry’s law, the equilibrium con- centration is proportional to the relative hygrometry (at a given tempera- ture). Immersion in pure water must lead to the same result as in a saturated atmosphere. If water contains solutes, its vapor pressure decreases. The corresponding equilibrium concentration, linked to the water activity, is proportional to the water vapor pressure. In other words, the water equili- brium concentration is a decreasing function of the solute concentration: salt water is less active than pure water. Most of these aspects of water-sorption equilibrium correspond to the equality of chemical potentials of water in the medium and in the polymer. The consequences of this principle are illustrated by the experiment of Fig. 14.2, where an interface is created between water and a nonmiscible liquid (oil, hydrocarbon, etc.), and a polymer sample is immersed into the organic liquid. It can be observed that, despite the hydrophobic character of the surrounding medium, the sample reaches the same level of water saturation as in direct water immersion or in a saturated atmosphere. What controls the water concentration in the polymer is the ratio C=C s of water concen- trations in the organic phase, where C s is the equilibrium concentration, which can be very low but not zero. In other words, hydrophobic surface treatments can delay the time to reach sorption equilibrium but they cannot avoid the water absorption by the substrate. Let us remind ourselves that the saturated vapor pressure, p s , increases with temperature. In a first approximation it can be written: 424 Chapter 14 FIGURE 14.2 Water equilibrium in a nonaqueous medium immiscible with water. p ¼ p 0 exp H w RT ð14:5Þ where ln p 0 ¼ 25:33 (p 0 in p a ) and H w ¼ 42:8 kJ mol 1 . On the other hand, S obeys an Arrhenius law: S ¼ S exp H s RT ð14:6Þ where H s is the heat of dissolution. In the case of water, H s is negative (the dissolution process is exothermic), and ranges generally from 25 kJ mol 1 (polymers of low polarity) to 50 kJ mol 1 (highly polar polymers). Then, C 1 ¼ Sp ¼ S 0 p 0 exp ðH s þ H w Þ RT ð14:7Þ For highly polar polymers, H s < H w , and the equilibrium concen- tration is a decreasing function of temperature. This is often found in the most hydrophilic networks, based, for example, on the aromatic amine – aliphatic diepoxide of diglycidyl ether of butane diol (DGEBD) type (Tcharkhtchi et al., 2000), or on particular polyimides (Hilaire and Verdu, 1993). For many usual, moderately polar networks, such as epoxides of the diglycidyl ether of bisphenol A (DGEBA) diamine type, or vinyl esters, H s H w , so that the equilibrium concentration appears almost tempera- ture-independent. For most of the less polar networks such as polyesters or anhydride-cured epoxies, C 1 (or W 1 ) increases slightly with temperature: ÁW 1 =ÁT 0:01–0:02% K 1 between 20 and 50 C. Except, eventually, for networks of very low polarity, H s is close to H w , so that the above equation can be well approximated by 1 C 1 ÁC 1 ÁT H s þ H w RT 2 ð14:8Þ This opens the way for a rapid determination of H s from experimental values of C 1 at two different temperatures. b. Influence Of Structure On the basis of observations made on limited structural series, certain authors (e.g., Adamson, 1980) suggested that water absorption would occur by occupancy of the available ‘‘free volume’’ by water molecules. Despite its seductive intuitive character, this theory fails to explain why free-volume rich substances such as silicone rubbers, crosslinked polyethy- lene, or simply liquid aliphatic hydrocarbons are hydrophobic. Furthermore, experimentally determined apparent heat of dissolution values (H s ) and plasticization effects generally agree well with theoretical predic- Durability 425 tions, so that there is no reason to assume that water is not homogeneously dissolved into the polymer matrix, except, in the case of a macroscopic porosity. From a global analysis of W 1 values (Table 14.1), it is clear that hydrophilicity is an increasing function of the polarity of the groups con- tained in the polymer and their concentration: SSi (CH3) 2 CH CH 3 CH 3 C are almost hydrophobic groups CF 2 ;;; CH 2 ; ; CH 3 C are moderately hydrophilic groups O O C O SO 2 ; ; ; ; O N N ; COOH ;C NH ; OH are highly hydrophilic groups CO CO O Since the unrelaxed bulk modulus, K u e.g., determined by ultrasonic propagation velocity measurements, is a good measure of the cohesive energy density, CED (K u 11 CED; Chapter 10), and CED gives a good indication of the overall material’s polarity, one can expect a correlation between K u and W 1 . This is shown in Fig. 14.3 for the amine–epoxy and styrene–vinyl ester networks. The following relationship is found: W 1 ¼ 1:63 K u 4:5ðÞW 1 in %, K u in GPaðÞð14:9Þ The intercept (4.5 GPa) corresponds essentially to the nonhydrophilic dispersive component of cohesive energy, which does not vary very much from one polymer to another. Predictions of W 1 could be performed using global (Hildebrand) or partial (Hansen) solubility parameters. but these are very difficult (and perhaps impossible) to determine accurately from solvent–sorption experi- ments, so that this way is not realistic. The best experimental approach is, in our opinion, using the ultrasonic modulus. Empirical calculations of W 1 from the CRU structure can give rela- tively good results provided that sufficiently large structural units are con- sidered to take into account eventual intramolecular interactions (Bellenger et al., 1988). However, their practical interest for predicting the behavior of new systems is relatively limited: the molar contribution of the most hydro- philic groups, e.g., hydroxyl groups, is not an integer, which means that 426 Chapter 14 Durability 427 TABLE 14.1 Tentative classification of network hydrophilicities Family Examples W 1 (293 K) Very low hydrophilicity Polydimethylsiloxane Typically < 0:5% Polyethylene Polystyrene co divinyl benzene Low hydrophilicity Many styrene crosslinked UP 0.5–1.5% Some styrene crosslinked vinylesters Increase with ester concentration Some anhydride crosslinked epoxies Moderate hydrophilicity Some vinyl esters 1.5–3% Amine crosslinked epoxies of relatively low crosslink density Increases with alcohol or amide concentration Some polyimides High hydrophilicity Amine crosslinked epoxies of high crosslink density (TGAP, TGMDA) > 3% Many polyimides FIGURE 14.3 Correlation K–W 1 between the bulk modulus and the equilibrium water concentration. o Amine crosslinked epoxies. Vinylesters and poly- esters. certain groups are able to fixate a water molecule and others are not. A theory for predicting the fraction of ‘‘active’’ groups is necessary. Recent studies showed that, in a given structural series in which the main variable is the OH concentration, the molar contribution of a parti- cular OH group is apparently an increasing function of the OH concentra- tion. A possible explanation of this result is that in the polymer–water complex, water is generally doubly or triply bonded. Thus, a hydrophilic site would be composed of two, eventually three, neighboring polar groups. The average distance between polar groups is generally too high to allow such a concerted process. But the spatial distribution of these groups is more or less heterogeneous, so that there is a more or less important fraction of these groups sufficiently close to form an hydrophilic site. Thus it is possible to explain why OH groups have a weak molar contribution to water absorp- tion in polyesters (½OH0:5 mol kg 1 ) (Bellenger et al., 1990), a medium molar contribution in amine-crosslinked epoxies (4 < ½OH < 8 mol kg 1 ) (Bellenger et al., 1988); and a high molar contribution in linear polymers such as those soluble in water – poly(vinyl alcohol), poly(acrylic acid), etc. – in which ½OH > 10 mol kg 1 . It explains also why, in epoxide–amine struc- tural series differing by the amine/epoxide molar ratio, W 1 increases pseudo-parabolically with the OH concentration (Tcharkhtchi et al., 2000) 14.2.3 Diffusion Solvent transport in organic polymer matrices is usually depicted as a two- step mechanism. The first step is the dissolution of the solvent in the super- ficial polymer layer. This process, which can be considered almost instanta- neous in the case of water, creates a concentration gradient. The second step is the diffusion of the solvent in the direction of the concentration gradient. This process may be described by a differential mass balance (often called Fick’s second law), which, in the unidimensional case, may be written as @C @t ¼ D @ 2 C @x 2 ð14:10Þ where D is the diffusion coefficient and x the coordinate along the sample’s thickness (L). The resolution of this differential equation gives C C 1 ¼ 1 8 Å 2 X 1 n¼0 1 ð2n þ 1Þ 2 exp Å 2 ð2n þ 1Þ 2 L 2 Dt ! ð14:11Þ At short times, typically when C 0:5C 1 , this function can be well approximated by 428 Chapter 14 C C 1 ¼ 4 ffiffiffiffi Å p Dt L 2 1=2 ð14:12Þ It is thus usual to plot C against ffiffi t p . The linearity of the curve in its initial part can be considered as a validity criterion for the Fick’s law. The slope of the linear part lets us determine the coefficient of diffusion: D ¼ Å 16 L 2 ÁðC=C 1 Þ Áð ffiffi t p Þ ð14:13Þ A characteristic time of diffusion, t D , defined as the duration of the transient, can be arbitrarily taken at the intersection between the tangent at the origin and the asymptote (Fig. 14.4). This leads to t D ¼ Å 16 L 2 D L 2 5D ð14:14Þ Typical values of diffusion coefficients are 10 12 –10 13 m 2 s 1 at 20– 50 C. The diffusion time t D is about 1 day to 1 week for samples of 1 mm thickness, and 1 year for samples of 1 cm thickness. Here, the best way to accelerate aging is to decrease the sample thick- ness (when possible). Except in very highly hydrophilic materials, D is inde- pendent of the relative hygrometry or water activity, but is an increasing function of temperature: D ¼ D 0 exp H D RT ð14:15Þ where H D is often of the same order of magnitude but opposite sign to H s ; H D 20–70 kJ mol 1 Durability 429 FIGURE 14.4 Shape of a Fickian diffusion curve. Definition of the characteristic time of diffusion. [...]... crosslink functionality is ’ ¼ 3 (Fig 14. 6) Then, e ¼ e0 À n for ’ ! 4 14: 27Þ 436 Chapter 14 FIGURE 14. 6 Destruction of elastically active network chains resulting from a chain scission in the case of tetrafunctional (a) and trifunctional nodes (b) and e ¼ e0 À 3n for ’ ¼ 3 14: 28Þ This gives Áe ¼ 1 ðG À GÞ for ’ ! 4 RT 0 14: 29aÞ Áe ¼ 1 ðG À GÞ for ’ ¼ 3 3RT 0 14: 29bÞ and In the case of unsaturated... chain-ends concentration (Fig 14. 7) The following relationship was obtained: G 0 ¼ 14 À 5 Â 10þ3 b 14: 31Þ where G 0 is in MPa and b is in mol gÀ1 Equtation (14. 31) applied to degradation (each chain scission creates 2 chain ends) leads to 1 ÁG 0 Áe ¼ 14: 32Þ ¼ 10À4 ÁG 0 2 510þ3 where ÁG 0 is the decrease of rubbery modulus (in MPa) for a number of chain scissions Áe ðmol gÀ1 ) 14. 3.3 Structure–Reactivity... (there is no systematic difference between linear polymers and networks) In polyesters, the existence of an osmotic cracking process (see below), gives importance to other structural factors, especially the concentration of dangling chain ends 14. 3.4 Lifetime Criterion For linear polymers, the following lifetime criterion can be proposed: nc ¼ 1 1 À Mcrit Mn0 14: 34Þ where Mcrit is the critical molar mass... From Durability 441 FIGURE 14. 9 Non diffusion controlled and diffusion controlled domains in a reactivity–thickness (K–L) graph The thickness profiles of degradation at various points on both sides and at various distances of the boundary B are shown D ¼ D0 exp À HD Rt and 0 K 0 ¼ K0 exp À HR T 14: 38Þ it results that TDL % ðTDLÞ0 exp À HL RT 1 HL ¼ ðHD À HR Þ 2 14: 39Þ 14: 40Þ HD is of the order of... nf kC ½E0 14: 25Þ Hydrolysis must appear in principle as a pseudo-zero-order process, except if the end-life conversion nf =E0 exceeds largely 10%, which seems unlikely In linear polymers, the number of chain scissions n can be determined from molar mass measurements In thermosets, it is considerably more difficult to determine Some possible ways are discussed in the following section 14. 3.2 Determination... distribution along the thickness are shown in Fig 14. 5 In extreme conditions, e.g., essentially at temperatures typically higher than 60 C, where diffusion is fast and generates strong concentration gradients and where the yield stress is sufficiently low, water absorption can induce damage in medium to high hydrophilic networks 14. 3 AGING DUE TO HYDROLYSIS 14. 3.1 The ‘‘Ideal’’ Case of Hydrolysis Hydrolytic... defined by the following hypotheses: FIGURE 14. 5 Stress distribution at various stages of water absorption and desorption 434 Chapter 14 (a) Hydrolysis is homogeneous at all dimension scales It is not diffusion-controlled (no degradation gradient along the thickness) (b) Hydrolysis (E þ W ! chain scission) obeys a second-order kinetic law: dn ¼ k½EC dt 14: 19Þ where n is the number of hydrolysis events... expression for lifetime is written as tf ¼ 1 nt kC ½E0 14: 33Þ The lifetime is a decreasing function of hydrophilicity (C), which is generally directly linked to the concentration of reactive groups E0 FIGURE 14. 7 Rubbery modulus against dangling chains concentration in styrene crosslinked unsaturated polyester (After Mortaigne et al:, 1992.) 438 Chapter 14 For example, unsaturated polyesters based on neopentyl... dn ¼ k½EC À k 0 ½A½jB dt 14: 20Þ An equilibrium would be then observed for ½A1 ½B1 k ¼ ½E1 ½W1 k 0 14: 21Þ (c) Hydrophilicity changes due to hydrolysis are negligible in the conversion range of interest This means that C ¼ constant, so that a pseudofirst-order rate constant, K ¼ kC, may be defined (d) A pertinent end-life criterion may be defined, corresponding to a particular conversion (e.g.,... increases with E0 (1 hydroxyl per methacrylate) 440 Chapter 14 thermosets are initially brittle In this case, linear elastic fracture mechanics can be applied The ultimate stress, f , may be related to the modulus E by f ¼ E 14: 35Þ where is a parameter that essentially depends on the defects geometry: typically, 0:03 ! ! 0:02 in unaged polymers Aging does not modify the value of E significantly (except . (Fig. 14. 6). Then, e ¼ e0 n for ’ 4 14: 27Þ Durability 435 and e ¼ e0 3n for ’ ¼ 3 14: 28Þ This gives Á e ¼ 1 RT ðG 0 GÞ for ’ 4 14: 29aÞ and Á e ¼ 1 3RT ðG 0 GÞ for ’ ¼ 3 14: 29bÞ In. chain-ends concentration (Fig. 14. 7). The following relationship was obtained: G 0 ¼ 14 5 10 þ3 b 14: 31Þ where G 0 is in MPa and b is in mol g 1 . Equtation (14. 31) applied to degra- dation. Å 2 ð2n þ 1Þ 2 L 2 Dt ! 14: 11Þ At short times, typically when C 0:5C 1 , this function can be well approximated by 428 Chapter 14 C C 1 ¼ 4 ffiffiffiffi Å p Dt L 2 1=2 14: 12Þ It is thus usual to