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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

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • 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

  • 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

  • EID of the result in the Scopus database

    2-s2.0-85027463514