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ŞAHİNBAŞKAN, TÜRKÜN

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ŞAHİNBAŞKAN

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TÜRKÜN

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End date: 2019 × Start date: 2010 ×

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    Experimental and theoretical study of the color changes in OPP-based printing substrate on the gravure printing
    (SPRINGER, 2018) ŞAHİNBAŞKAN, TÜRKÜN; Sahinbaskan, Turkun
    In this study, the color change performances of the prints that are made with gravure printing technique on OPP-based printing substrate used in food packaging are studied experimentally and modeled analytically using artificial neural networks. In this printing technique using solvent ink, small variations in the printing conditions and ink viscosity significantly affect the colors obtained as a result of the printing as the printing surface is not absorbent. In the test print made, samples were taken at certain intervals and color changes were determined with spectrophotometer measurements from test charts. The analytical relation giving the color changes based on the parameters they are linked to was obtained via artificial neural networks. Thus, the color deviations during normal production process shall be determined to ensure that necessary precautions are taken.
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    Modelling of time related drying changes on matte coated paper with artificial neural networks
    (PERGAMON-ELSEVIER SCIENCE LTD, 2010) ŞAHİNBAŞKAN, TÜRKÜN; Sahinbaskan, Tuerkuen; Kose, Erdogan
    In this study, the determinability of time related colour changes in prints made using ink that dries on matte coated paper with the offset printing technique and infrared method, has been investigated with artificial neural networks after analysis of the experimental and numerical methods. In the experimental part a ECI 2002 CMYK test scale is printed on a 135 g/m(2) matte coated. The prints obtained were measured with a spectrophotometer at certain intervals and by converting the reflection data obtained into the CIELAB colour description spectrum, time related changes in printed colours have been determined. In the empirical study however, colour changes in prints made on matte coated paper using inks that dry with the infrared method are modelled numerically. The average deviation has been found to be 0.4%. As a result, artificial neural networks can be used with the aim to digitally calculate time related colour changes in the offset printing system. (C) 2009 Elsevier Ltd. All rights reserved.