Study of relationships between morphology of polyvinylbutyral nanofibers and solvents properties using a predictive numerical model

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Study of relationships between morphology of polyvinylbutyral nanofibers and solvents properties using a predictive numerical model

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Study of relationships between morphology of polyvinylbutyral nanofibers and solvents properties using a predictive numerical model

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10404 - Polymer science

Projekt

<a href="/cs/project/LO1201" target="_blank" >LO1201: ROZVOJ ÚSTAVU PRO NANOMATERIÁLY, POKROČILÉ TECHNOLOGIE A INOVACE TECHNICKÉ UNIVERZITY V LIBERCI</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Computational and Theoretical Nanoscience

ISSN

1546-1955

e-ISSN

—

Svazek periodika

14

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

10

Strana od-do

2802-2811

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85027463514