Differential Scanning Calorimetry (DSC)

Menczel, Joseph D.; Judovits, Lawrence; Prime, R. Bruce; Bair, H. E.; Reading, M.; Swier, Steven

doi:10.1002/9780470423837.ch2

Cited by 115 publications

(92 citation statements)

References 197 publications

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“…In order to compare the estimated and MTDSC separations, the total heat flow data were extracted from the same modulated experiments that underwent MTDSC analysis. It was demonstrated that total heat flow curves obtained by MTDSC match well with those obtained by standard DSC [36]. The model proposed here can be written as a simple expression, consisting of a mixture of two straight lines, a generalized logistic function and the first derivative of another generalized logistic.…”

Section: Hfnon-revsignal ¼ Hftotsignalàhfrevsignalsupporting

confidence: 56%

“…In the case of MTDSC, the plot of modulated heat flow against the modulated heating rate produces an ellipse that is a Lissajous figure. The eccentricity of the ellipse is a function of the phase shift between the modulated heating rate and the modulated heat flow. Inspection of the Lissajous figures of the analyses shows a quick achievement of steady-state ellipses [45,46]. In this experiment it is not possible, of course, to reach the complete steady state because such an experiment is not made in quasi-isothermal mode.…”

Section: Resultsmentioning

confidence: 85%

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Estimating the reversing and non‐reversing heat flow from standard DSC curves in the glass transition region

Artiaga

López-Beceiro

Tarrío-Saavedra

et al. 2011

Journal of Chemometrics

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A mathematical model for the total heat flow obtained in differential scanning calorimetry (DSC) experiments from polymers with enthalpic relaxation is proposed. It is limited to the glass transition and enthalpic relaxation range of temperature and to the cases where the enthalpic relaxation is the only non-reversing process taking place. The model consists of a mixture of functions representing the heat capacity heat flow of the glassy and non-glassy fractions, the glass transition progress and the enthalpic relaxation heat flow.Optimal fittings of the model were performed on the experimental total heat flow data, obtained from two thermoplastics with different aging times. Considering which functions of the mixture represent reversing and non-reversing processes, the reversing and non-reversing heat flows were also estimated. The estimated reversing and non-reversing signals were compared with the ones obtained by modulation. On the whole a good match was found, which was even better considering that the estimates are not affected by the frequency effect of the modulated temperature DSC (MTDSC) measurements. The model assumes linear trends for the heat capacity heat flow of the glassy and non-glassy structures. The glass transition progress is represented by a generalized logistic function and the enthalpic relaxation heat flow by the first derivative of another generalized logistic. It brings about a new approach to these phenomena, where the parameters of these functions represent the temperature at which each event is centered, the change of heat capacity (C p ) at the glass transition and the energy involved in the enthalpic recovery.

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Section: Hfnon-revsignal ¼ Hftotsignalàhfrevsignalsupporting

confidence: 56%

Section: Resultsmentioning

confidence: 85%

Estimating the reversing and non‐reversing heat flow from standard DSC curves in the glass transition region

Artiaga

López-Beceiro

Tarrío-Saavedra

et al. 2011

Journal of Chemometrics

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“…In the last decades, the development of the calorimetric methods resulted in constructing automated systems for thermodynamic analysis of materials based on the technique of differential scanning calorimetry (DSC). The most important disadvantage of the DSC systems, as applied for investigating wood-based panels, is mass of samples usually being less than 100 mg (e.g., Menczel et al 2009;Wolfinger et al 2001;Ghazi Wakili et al 2003). The low mass of samples has special significance in relation to large inhomogeneity of particles forming particleboard and OSB.…”

Section: Introductionmentioning

confidence: 99%

Thermal properties of wood-based panels: specific heat determination

et al. 2016

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Ensuring reliability of data on thermal properties of wood-based panels is important for manufacturing processes, especially when it is recommended to shorten the cooling phase and stack the panels in hot conditions. Prediction of the heat transfer during cooling phase and normal or hot stacking based on accurate data is essentially important for attaining panels of required properties. The thermal properties are also required when designing houses, especially low-energy or passive ones. Therefore, a water calorimeter was adequately designed and constructed to ensure improvement in the accuracy of the specific heat measurements. The calorimeter was used to determine the specific heat. The attained accuracy estimated by the relative error was significantly increased, and the error values were less than 2 % for all types of the investigated particleboard and OSB. In case of low-density fiberboard (LDF), the maximum value of the relative error did not exceed 4 %. It was also shown that high accuracy required for the specific heat measurements was achieved for experiments in which high-mass samples were used, in contrast to measurements for such samples in traditional DSC systems. The results for the specific heat were within the range from 1420 to 1450 J/kg K for LDF and all types of particleboard. The effect of the investigated material density on the specific heat was not found. The only exception was in case of OSB for which the specific heat was ca. 1550 J/kg K, and it was approximately 100 J/kg K higher when compared to other panels.

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“…In particular, the study of the cure reactions of epoxy as a function of the processing conditions, from a kinetic point of view, is very important for the analysis and design of processing operations. Differential scanning calorimetry (DSC) may be considered as one of the most interesting techniques for kinetic analysis of cure reactions of thermosetting systems [13][14][15]. Numerous studies on cure kinetics of epoxy in presence of carbon-based nanofillers have been investigated [16][17][18][19][20][21][22][23][24][25].…”

mentioning

confidence: 99%

Effects of graphene oxides on the cure behaviors of a tetrafunctional epoxy resin

Qiu¹,

Wang²,

Wang³

et al. 2011

Express Polym. Lett.

137

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The influence of graphene oxides (GOs) on the cure behavior and thermal stability of a tetrafunctional tetraglycidyl-4,4’-diaminodiphenylmethane cured with 4,4’-diaminodiphenylsulfone was investigated by using dynamic differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA). The dynamic DSC results showed that the initial reaction temperature and exothermal peak temperature decreased with the increase of GO contents. Furthermore, the addition of GO increased the enthalpy of epoxy cure reaction. Results from activation energy method showed that activation energies of GO/epoxy nanocomposites greatly decreased with the GO content in the latter stage, indicating that GOs significantly hindered the occurrence of vitrification. The oxygen functionalities, such as hydroxyl and carboxyl groups, on the surface of GOs acted as catalysts and facilitated the curing reaction and the catalytic effect increased with the GO contents. TGA results revealed that the addition of GOs decreased the thermal stability of epoxy

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Differential Scanning Calorimetry (DSC)

Cited by 115 publications

References 197 publications

Estimating the reversing and non‐reversing heat flow from standard DSC curves in the glass transition region

Estimating the reversing and non‐reversing heat flow from standard DSC curves in the glass transition region

Thermal properties of wood-based panels: specific heat determination

Effects of graphene oxides on the cure behaviors of a tetrafunctional epoxy resin

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