Description of enthalpy relaxation dynamics in terms of TNM model

Svoboda, Roman; Málek, Jiřı́

doi:10.1016/j.jnoncrysol.2013.07.008

Cited by 65 publications

(34 citation statements)

References 24 publications

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“…This opens the possibility to apply the TNM equations even to extremely distorted differential scanning calorimetry data [189].…”

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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“…This opens the possibility to apply the TNM equations even to extremely distorted differential scanning calorimetry data [189].…”

Section: Limitationsmentioning

confidence: 99%

Relaxation and physical aging in network glasses: a review

Micoulaut

2016

Rep. Prog. Phys.

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“…The former criterion seems to be the most robust; the robustness of this criterion was demonstrated, e.g., in [10]. The optimum point for evaluation of the discussed horizontal shift is then around C p N = 0.7.…”

Section: Simulation-comparative Methodsmentioning

confidence: 80%

“…The immense influenceability of the curve-fitting procedures by data-distortive effects was demonstrated in our previous work [10], where data-distortion caused by incorrect data treatment was taken as an example. In particular, the crucial role of the subtraction of the thermokinetic background (baseline, zeroline …) was shown.…”

Section: Curve-fittingmentioning

confidence: 85%

“…Because of the strong influenceability of the original simulationcomparative methodology by various data-distortive effects, we have developed a novel simulation-comparative method [6,7,10]. Contrary to Hutchinson's original method, where only the height of the relaxation peaks was evaluated and compared, in our novel methodology the overall shape of the set of CHR cycles curves is compared with a matrix of theoretically calculated datasets.…”

Section: Simulation-comparative Methodsmentioning

confidence: 99%

“…Therefore, it is very advantageous to check the consistency of the evaluated TNM parameters with respect to the changing experimental conditions (e.g. the cooling rate in the case of the constant heating rate cycles) -all the evaluated parameters should be independent of the experimental conditions [10]. This is also why the curve-fitting should always be applied to several data-curves with significantly different temperature histories.…”

Section: Curve-fittingmentioning

confidence: 99%

See 2 more Smart Citations

Utilization of constant heating rate DSC cycles for enthalpy relaxation studies and their influenceability by erroneous experimental operations

Svoboda

2015

Journal of Non-Crystalline Solids

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Suppressed physical aging in PMMA‐titanium oxide nanocomposites by controlling alignment of nanoparticles

Huo

Teng

et al. 2023

J of Applied Polymer Sci

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This study investigates the physical aging process of PMMA‐TiO2 nanocomposites with different particle alignments. By using an external electric field to control the alignment of TiO2 particles, a uniform distribution of TiO2 particles in PMMA is transformed into a micrometer‐level pillar structure. The physical aging process is measured using differential scanning calorimetry, and the particle alignment is confirmed by microscopy. Comparison of the aging behavior of different samples shows that the addition of randomly distributed TiO2 nanoparticles accelerates the aging rate of the material. However, when the nanoparticles are realigned into a pillar structure, the aging rate significantly decreases. Moreover, in our experimental time scale, a dual‐relaxation mechanism of aging is observed in the PMMA/TiO2 nanocomposites. This work highlights the importance of particle alignment and structure on the aging behavior of polymer nanocomposites, which could have implications for designing materials with improved stability in applications that require slow aging.

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Description of enthalpy relaxation dynamics in terms of TNM model

Cited by 65 publications

References 24 publications

Relaxation and physical aging in network glasses: a review

Relaxation and physical aging in network glasses: a review

Utilization of constant heating rate DSC cycles for enthalpy relaxation studies and their influenceability by erroneous experimental operations

Suppressed physical aging in PMMA‐titanium oxide nanocomposites by controlling alignment of nanoparticles

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