Abstract
An objective procedure for estimating the glass transition temperature (T//g) from dilatometric data is described. The method uses the technique of fitting a segmented linear regression model by least squares. The regression model employed may be specified so as to allow a transition either of the first order in the thermodynamic sense or may be constrained to fit a second order. Methods are given for finding statistical confidence intervals for the estimated glass transition temperature (T//g). Experimental data obtained from PET (polyethylene terephthalate) fiber are used for illustration; these data indicate a preference for the second-order transition model. 8 refs.
Original language | English (US) |
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Pages | 193-204 |
Number of pages | 12 |
State | Published - 1975 |
Event | Unknown conference - Philadelphia, PA, USA Duration: Apr 9 1975 → Apr 11 1975 |
Other
Other | Unknown conference |
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City | Philadelphia, PA, USA |
Period | 4/9/75 → 4/11/75 |
All Science Journal Classification (ASJC) codes
- General Engineering