2017
DOI: 10.1590/s1517-707620170001.0123
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The influence of heat treatment on the quality of screen printed textile substrates

Abstract: During exploitation, textile products printed with screen printing technique are quite often exposed to various influences, one of which is a heat treatment-firstly during the production process and later on when ironing. Heat is simultaneously affecting deposited colorants (ink) on the surface of the substrate material, as well as textile fibers in the material structure. As a result, colorimetric characteristics of printed colorants are changed. The research presented in this paper aims to determine the infl… Show more

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Cited by 4 publications
(3 citation statements)
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“…The screen with the higher thread count transfers less ink, and therefore the material, will release the heat faster. With the higher screen thread count, screen the ink will return faster from the colored to the discolored state [21]. It has also been confirmed that the smaller the fabric weight of the material, the faster is the return from the discolored to the colored state.…”
mentioning
confidence: 84%
“…The screen with the higher thread count transfers less ink, and therefore the material, will release the heat faster. With the higher screen thread count, screen the ink will return faster from the colored to the discolored state [21]. It has also been confirmed that the smaller the fabric weight of the material, the faster is the return from the discolored to the colored state.…”
mentioning
confidence: 84%
“…-Analysis of the capacity of digital printing system to simulate PANTONE colour and obtained colour differences. -Complete accuracy analysis of colour and tone reproduction quality of particular digital printing machine (Kašiković et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…-Analysis of the capacity of digital printing system to simulate PANTONE colour and obtained colour differences. -Complete accuracy analysis of colour and tone reproduction quality of particular digital printing machine (Kašiković et al, 2017).…”
mentioning
confidence: 99%