Isobaric and isothermal glass transition of PMMA: pressure-volume-temperature experiments and modelling predictions

Grassia, Luigi; D’Amore, Alberto

doi:10.1016/j.jnoncrysol.2010.07.055

Cited by 40 publications

(35 citation statements)

References 18 publications

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“…More on the TNM model limitations can be found e.g. in [37][38][39][40][41][42], where several attempts for improvement of relaxation phenomenology can also be found. Nevertheless, the TNM model is considered a standard in the field of structural relaxation; thus, all theoretical curves shown in this work were calculated using TNM model without any extensions.…”

Section: Discussionmentioning

confidence: 99%

Enthalpy relaxation of selenium observed by fast scanning calorimetry

et al. 2015

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Section: Discussionmentioning

confidence: 99%

Enthalpy relaxation of selenium observed by fast scanning calorimetry

et al. 2015

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“…More references and examples on the TNM model limitations can be found in Refs. [183,184,185,186,187].…”

Section: Limitationsmentioning

confidence: 99%

Relaxation and physical aging in network glasses: a review

Micoulaut

2016

Rep. Prog. Phys.

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Abstract. Recent progresses in the description of glassy relaxation and ageing are reviewed for the wide class of network-forming materials such as GeO 2 , Ge x Se 1−x , silicates (SiO 2 -Na 2 O) or borates (B 2 O 3 -Li 2 O), all of them having an important usefulness in domestic, geological or optoelectronic applications. A brief introduction of the glass transition phenomenology is given, together with the salient features that are revealed both from theory and experiments. Standard experimental methods used for the characterization of the slowing down of the dynamics are reviewed. We then discuss the important role played by aspect of network topology and rigidity for the understanding of the relaxation of the glass transition, while also permitting analytical predictions of glass properties from simple and insightful models based on the network structure. We also emphasize the great utility of computer simulations which probe the dynamics at the molecular level, and permit to calculate various structure-related functions in connection with glassy relaxation and the physics of ageing which reveals the off-equilibrium nature of glasses. We discuss the notion of spatial variations of structure which leads to the picture of "dynamic heterogeneities", and recent results of this important topic for network glasses are also reviewed.PACS numbers: 61.43. Fs, 64.70.kj Relaxation and physical ageing in network glasses 2 Figure 1. Typical network-forming glasses: a) A stoichiometric glass former (SiO 2 , B 2 S 3 ) whose structure and network connectivity can be altered by the addition (b) of 2-fold coordinated atoms (usually chalcogens, S, Se) that lead to cross-linked chains. The structure can also be depolymerized (c) by the addition of a network modifier (alkali oxides or chalcogenides, Na 2 O, Li 2 S, etc.). Glassy dynamics depends strongly on the network topology, i.e. the way bonds and angles arrange to lead to a connected atomic network. Note that only chalcogenides can produce a mixture of these three kinds of basic networks, e.g. (1-x)Ge y Se 1−y -xAg 2 Se [2], and for the latter system x=0 corresponds to case (b), y=33% corresponds to case (c), and both conditions together (x=0,y=33 %) to case (a).

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“…service temperature, Tg near glass transition, cyclic loadings, or aggressive environments [15][16][17][18][19][20][21][22][23][24][25][26]. In particular the viscoelastic behaviour of the polymer matrix and its long-term behaviour can be altered by the vicinity of the glass transition temperature of the polymer itself [27][28][29][30][31][32][33][34][35][36][37].…”

Section: Introductionmentioning

confidence: 99%

Mechanical Characterization of Sheet Moulding Composites for the Automotive Industry

Lamanna¹,

Ceparano²

2014

TOMSJ

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Abstract:The mechanical properties of Sheet Moulding Composite (SMC) have been analyzed by means of static and fatigue tests in tension. SMCs show a substantial in-plane anisotropy either in terms of stiffness or strength. Fatigue data were modeled adopting a fatigue model with two parameters, represented by the cyclic number and the mean stress. The statistical implementation of such model was based on the hypothesis that the monotonic tensile strength follows a twoparameter Weibull distribution. The model has the potential to be predictive indicating that the fatigue characterization of a given laminate can be achieved with a minimum number of experimental tests. The reliability of such procedure and its applicability limits are discussed in the light of the model parameters obtained for different glass fiber reinforced composites.

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Isobaric and isothermal glass transition of PMMA: pressure-volume-temperature experiments and modelling predictions

Cited by 40 publications

References 18 publications

Enthalpy relaxation of selenium observed by fast scanning calorimetry

Enthalpy relaxation of selenium observed by fast scanning calorimetry

Relaxation and physical aging in network glasses: a review

Mechanical Characterization of Sheet Moulding Composites for the Automotive Industry

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