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 conferencePaper

3 Citations (Scopus)

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

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Statistical methods
Linear regression
Polyethylene terephthalates
Thermodynamics
Fibers
Glass transition temperature

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Chao, N. P. C., Cuculo, J. A., Gallant, A. R., & George, T. W. (1975). STATISTICAL METHOD FOR DETERMINING THE GLASS TRANSITION TEMPERATURE FROM DILATOMETRIC DATA.. 193-204. Paper presented at Unknown conference, Philadelphia, PA, USA, .
Chao, Nelson P.C. ; Cuculo, John A. ; Gallant, Andrew Ronald ; George, T. Waller. / STATISTICAL METHOD FOR DETERMINING THE GLASS TRANSITION TEMPERATURE FROM DILATOMETRIC DATA. Paper presented at Unknown conference, Philadelphia, PA, USA, .12 p.
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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.",
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Chao, NPC, Cuculo, JA, Gallant, AR & George, TW 1975, 'STATISTICAL METHOD FOR DETERMINING THE GLASS TRANSITION TEMPERATURE FROM DILATOMETRIC DATA.' Paper presented at Unknown conference, Philadelphia, PA, USA, 4/9/75 - 4/11/75, pp. 193-204.

STATISTICAL METHOD FOR DETERMINING THE GLASS TRANSITION TEMPERATURE FROM DILATOMETRIC DATA. / Chao, Nelson P.C.; Cuculo, John A.; Gallant, Andrew Ronald; George, T. Waller.

1975. 193-204 Paper presented at Unknown conference, Philadelphia, PA, USA, .

Research output: Contribution to conferencePaper

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Chao NPC, Cuculo JA, Gallant AR, George TW. STATISTICAL METHOD FOR DETERMINING THE GLASS TRANSITION TEMPERATURE FROM DILATOMETRIC DATA.. 1975. Paper presented at Unknown conference, Philadelphia, PA, USA, .