Detailed Information on Publication Record
2017
Modelling of the gas flow and plasma co-polymerization of two monomers in an atmospheric-pressure dielectric barrier discharge
OBRUSNÍK, Adam, Petr JELÍNEK and Lenka ZAJÍČKOVÁBasic information
Original name
Modelling of the gas flow and plasma co-polymerization of two monomers in an atmospheric-pressure dielectric barrier discharge
Authors
OBRUSNÍK, Adam (203 Czech Republic, belonging to the institution), Petr JELÍNEK (203 Czech Republic, belonging to the institution) and Lenka ZAJÍČKOVÁ (203 Czech Republic, guarantor, belonging to the institution)
Edition
SURFACE & COATINGS TECHNOLOGY, LAUSANNE, ELSEVIER SCIENCE SA, 2017, 0257-8972
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10305 Fluids and plasma physics
Country of publisher
Switzerland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 2.906
RIV identification code
RIV/00216224:14740/17:00097537
Organization unit
Central European Institute of Technology
UT WoS
000397696400022
Keywords in English
Plasma polymerization; Atmospheric pressure; Dielectric barrier discharge; Deposition model; Gas flow model
Tags
Tags
International impact, Reviewed
Změněno: 20/3/2018 21:33, doc. Mgr. Lenka Zajíčková, Ph.D.
Abstract
V originále
We present a combined experimental and numerical study of plasma co-polymerization of maleic anhydride and acetylene in an atmospheric-pressure dielectric-barrier discharge. It combines a three-dimensional model of the gas dynamics in close-to-real geometry with a semi-analytical model of the deposition which reduces the unknown plasma chemistry into several averaged species. The unknown coefficients of the model are found by correlating it with measurements of film thickness at various deposition conditions. Even though the model is calibrated only based on spatially-resolved thickness, it is proven using FT-IR that it also makes valid predictions regarding the film composition. The predictive capabilities of the model are also tested on independent experiments, illustrating that the model retains its predictive capabilities even outside of the calibration region. The work aims not only to provide more insight into the specific deposition process but it also illustrates efficient use of numerical modelling in process control and design. (C) 2016 Elsevier B.V. All rights reserved.
Links
LQ1601, research and development project |
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