The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Isobaric volume and enthalpy recovery of glasses. II. A transparent multiparameter theory
Abstract
A multiordering parameter model for glass‐transition phenomena has been developed on the basis of nonequilibrium thermodynamics. In this treatment the state of the glass is determined by the values of N ordering parameters in addition to T and P; the departure from equilibrium is partitioned among the various ordering parameters, each of which is associated with a unique retardation time. These times are assumed to depend on T, P, and on the instantaneous state of the system characterized by its overall departure from equilibrium, giving rise to the well‐known nonlinear effects observed in volume and enthalpy recovery. The contribution of each ordering parameter to the departure and the associated retardation times define the fundamental distribution function (the structural retardation spectrum) of the system or, equivalently, its fundamental material response function. These, together with a few experimentally measurable material constants, completely define the recovery behavior of the system when subjected to any thermal treatment. The behavior of the model is explored for various classes of thermal histories of increasing complexity, in order to simulate real experimental situations. The relevant calculations are based on a discrete retardation spectrum, extending over four time decades, and on reasonable values of the relevant material constants in order to imitate the behavior of polymer glasses. The model clearly separates the contribution of the retardation spectrum from the temperature‐structure dependence of the retardation times which controls its shifts along the experimental time scale. This is achieved by using the natural time scale of the system which eliminates all the nonlinear effects, thus reducing the response function to the Boltzmann superposition equation, similar to that encountered in the linear viscoelasticity. As a consequence, the system obeys a rate (time) ‐temperature reduction rule which provides for generalization within each class of thermal treatment. Thus the model establishes a rational basis for comparing theory with experiment, and also various kinds of experiments between themselves. The analysis further predicts interesting features, some of which have often been overlooked. Among these are the impossibility of extraction of the spectrum (or response function) from experiments involving cooling from high temperatures at finite rate; and the appearance of two peaks in the expansion coefficient, or heat capacity, during the heating stage of three‐step thermal cycles starting at high temperatures. Finally, the theory also provides a rationale for interpreting the time dependence of mechanical or other structure‐sensitive properties of glasses as well as for predicting their long‐range behavior.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Studies in Newtonian Flow. II. The Dependence of the Viscosity of Liquids on Free-Space
Doolittle, A. K. (1951) · Journal of Applied Physics · doi:10.1063/1.1699894 · Cited by 1,831
Cited by
Keim, N. C., Paulsen, J. D., Zeravcic, Z., Sastry, S., & Nagel, S. R. (2019) · Reviews of Modern Physics · doi:10.1103/revmodphys.91.035002 · Cited by 298
Enthalpy Relaxation and Embrittlement of Poly( l -lactide) during Physical Aging
Pan, P., Zhu, B., & Inoue, Y. (2007) · Macromolecules · doi:10.1021/ma071737c · Cited by 282
Metadata
- Authors
- Kovacs, A. J., Aklonis, J. J., Hutchinson, J. M., & Ramos, A. R.
- Venue
- Journal of Polymer Science: Polymer Physics Edition
- Publisher
- Wiley
- Published
- 1979-07
- Volume
- 17
- Issue
- 7
- Pages
- 1097-1162
- ISSN
- 0098-1273 (ISSN-L)
- 1542-9385
- OpenAlex
- W1979295543
- Cited by
- 805
- References
- 1
- FWCI
- 9.89
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Isobaric volume and enthalpy recovery of glasses. II. A transparent multiparameter theory. https://app.cochat.ai/papers/10.1002/pol.1979.180170701
- The paper
- Kovacs, A. J., Aklonis, J. J., Hutchinson, J. M., & Ramos, A. R. (1979). Isobaric volume and enthalpy recovery of glasses. II. A transparent multiparameter theory. Journal of Polymer Science: Polymer Physics Edition. https://doi.org/10.1002/pol.1979.180170701
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.