Computation of the Linear Viscoelastic Relaxation Spectrum from Capillary Viscozity Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F00%3A63500241" target="_blank" >RIV/70883521:28110/00:63500241 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Computation of the Linear Viscoelastic Relaxation Spectrum from Capillary Viscozity Data
Original language description
A simple method is presented for the estimation of the Linear viscoelastic relaxation spectrum from capillary viscosity data. For that purpose, a modified Leonov model is employed and the spectra and model parameters are estimated through nonlinear regression using measured steady shear viscosity data and extensional viscosity data calculated from Cogswell's method. Using the proposed methodology, the spectra of several resins were estimated and they were used in a Maxwell model to predict the linear viscoelastic properties of these resins. The predicted properties (storage and loss moduli and complex viscosity) were found to be in very good agreement with data from oscillatory shear measurements, thus supporting the validity of the estimated relaxation spectra.
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
CD - Macromolecular chemistry
OECD FORD branch
—
Result continuities
Project
—
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2000
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Advances in Polymer Technology
ISSN
0730-6679
e-ISSN
—
Volume of the periodical
19
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
277-286
UT code for WoS article
—
EID of the result in the Scopus database
—