STATISTICAL METHOD FOR DETERMINING THE GLASS TRANSITION TEMPERATURE FROM DILATOMETRIC DATA.

Nelson P.C. Chao, John A. Cuculo, Andrew Ronald Gallant, T. Waller George

Research output: Contribution to conferencePaperpeer-review

3 Scopus citations

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 languageEnglish (US)
Pages193-204
Number of pages12
StatePublished - Jan 1 1975
EventUnknown conference - Philadelphia, PA, USA
Duration: Apr 9 1975Apr 11 1975

Other

OtherUnknown conference
CityPhiladelphia, PA, USA
Period4/9/754/11/75

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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