Neural network-based UV adjustment of the photopolymer surface for modification of coating properties printed in flexography (CROSBI ID 270021)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Mahović Poljaček, Sanja ; Tomašegović, Tamara ; Leskovac, Mirela ; Jakovljević, Suzana
engleski
Neural network-based UV adjustment of the photopolymer surface for modification of coating properties printed in flexography
Processes of coating deposition often rely on printing techniques, with flexography being the most common one because of its ability to adjust the medium for the coating transfer (printing plate) to the specific type of coating and substrate by using photopolymer materials with different properties. Qualitative requirements for many types of coatings, especially in the printing industry, include uniformity, achieving desired thickness, definition of the edges of printed coating and optical density of colored coatings. This research was focused on the modification of the mechanical and surface properties of the common styrene–diene-based photopolymer materials in order to optimize the properties of the deposited coating— flexographic ink—by applying the UV post- treatment of the photopolymer. After the analyses of modified photopolymers, neural networks were built with the aim of finetuning of the photopolymer’s surface properties by the UV post-treatment. The results of the research enabled the analysis of the influence of changes that occur in the modified photopolymer material’s mechanical and surface properties on the coating thickness, optical density and printed element edge definition. Once the neural network was built, it enabled fast adjustment of the UV post-treatment of the photopolymer with the aim of optimizing the properties of the specific coating.
flexography ; surface properties ; coating thickness ; optical density ; neural network
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Podaci o izdanju
17
2020.
271
284
objavljeno
1945-9645
1935-3804
10.1007/s11998-019-00270-x
Povezanost rada
Grafička tehnologija, Kemijsko inženjerstvo