1990
DOI: 10.1016/0032-3861(90)90110-k
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A phenomenological study of the structural relaxation of poly(methyl methacrylate)

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Cited by 72 publications
(29 citation statements)
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“…These results shows that the peak position is influenced by both the ageing temperature and time. In addition, c p ðTÞ peaks appeared at temperatures above T g in all the measured DSC curves, as happens in other polymers of poly(methylmethacrylate), 28 poly(vinyl chloride) 30 polystyrene 31 and poly(-benzyl-L-glutamate).…”
Section: Resultssupporting
confidence: 63%
“…These results shows that the peak position is influenced by both the ageing temperature and time. In addition, c p ðTÞ peaks appeared at temperatures above T g in all the measured DSC curves, as happens in other polymers of poly(methylmethacrylate), 28 poly(vinyl chloride) 30 polystyrene 31 and poly(-benzyl-L-glutamate).…”
Section: Resultssupporting
confidence: 63%
“…Anyway, these results suggest that the experimental procedure used in evaluating DH ðT a ; t a Þ only provides an approximation by defect of the enthalpy change during the annealing step; this approximation becomes very good only for very low annealing temperatures [43]. Fig.…”
Section: Resultsmentioning
confidence: 97%
“…They found some appreciable differences between the different stereospecific forms of PMMA, but in all the cases a great thermal history dependence of the model parameters were observed, especially at long annealing times. G o omez Ribelles et al [43] also found discrepancies between the parameters describing different experimental thermograms. Furthermore, the predicted values for the enthalpy lost at two aging temperatures highly overestimated the experimental data.…”
Section: Theoretical Frameworkmentioning
confidence: 93%
“…Equation 8a is the William-Watts equation (Williams and Watts, 1970) and has been used describe relaxation effects, including physical aging (Tribone et al, 1986;Agrawal, 1989;Gomez Ribelles et al, 1990;Hay, 1993;Montserrat, 1994). Three parameters, ⌬H max , t c and ␤, were determined using a nonlinear least squares fit to Eq.…”
Section: Physical Agingmentioning
confidence: 99%