Study of relationships between morphology of polyvinylbutyral nanofibers and solvents properties using a predictive numerical model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24620%2F17%3A00004244" target="_blank" >RIV/46747885:24620/17:00004244 - isvavai.cz</a>
Result on the web
<a href="http://www.ingentaconnect.com/contentone/asp/jctn/2017/00000014/00000006/art00030" target="_blank" >http://www.ingentaconnect.com/contentone/asp/jctn/2017/00000014/00000006/art00030</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1166/jctn.2017.6578" target="_blank" >10.1166/jctn.2017.6578</a>
Alternative languages
Result language
angličtina
Original language name
Study of relationships between morphology of polyvinylbutyral nanofibers and solvents properties using a predictive numerical model
Original language description
Nanofiber membranes can be used for many applications, however, their morphology dramatically influences properties of final products. Moreover producing nanofibers with desired morphology is extremely complicated since even a small change in any of used solvents will result in a different morphology. Engineering of the morphology is nowadays mostly driven by either (i) personal experience of researcher or (ii) trial and error approaches. The paper presents a complex predictive model allowing controlled nanofiber morphology of polyvinylbutyral that overcomes previous works by considering the most important solvent properties such as permittivity, vapor pressure together with the polymer solubility parameter. The proposed predictive model is able to rank solvents or solvent mixtures allowing direct comparison and selection of more or less appropriate solvents for electrospinning of polyvinylbutyral with respect to desired morphology of nanofibers. The predictive model was experimentally verified by electrospinning of polyvinylbutyral dissolved in eight solvents and their mixtures.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10404 - Polymer science
Result continuities
Project
<a href="/en/project/LO1201" target="_blank" >LO1201: DEVELOPMENT OF THE INSTITUTE FOR NANOMATERIALS, ADVANCED TECHNOLOGIES AND INNOVATION</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Computational and Theoretical Nanoscience
ISSN
1546-1955
e-ISSN
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Volume of the periodical
14
Issue of the periodical within the volume
6
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
2802-2811
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85027463514