Assessment of the print quality parameters’ impact on the high-quality flexographic print visual experience

Abstract

Over the years, computing and information technology in the printing industry has been brought to a very high level. However, the models for assessing and estimating quality by considering print quality parameters are still being researched. This paper presents a mathematical model that was used for the purpose of enabling assessment of the flexographic print quality based on the visual experience of a standard observer. The model facilitates the assessment of print quality parameters' impact on the visual experience of the high-quality flexographic print. As a part of this assessment process, print quality measurement analysis of each ink (cyan, magenta, yellow and black) was performed by focusing on several print quality parameters; dot gain at 50%, trapping, mottling, optical density and colour gamut. The use of logistic regression analysis in this paper allowed for a definition of nine variables that significantly impact the subjective perception of the total print quality. Methodology presented in this paper can be effectively applied in the scientific and professional practice of graphic design.

The Impact of Underlying Opaque White Coating Parameters on Flexographic Print Quality

“…By increasing the volume of the anilox roller, more ink can be transferred to the printing substrate, thereby creating a thicker layer and increasing the opacity of the white ink. This is still not enough for a high-quality white ink layer, which impacts the high-quality flexographic print visual experience [37]. Therefore, to determine the quality of the white ink laid down on the printing substrate, in addition to measuring the opacity, the uniformity of the ink layer on the print should be analyzed.…”

Manufacturing conductive patterns on polymeric substrates: development of a microcontact printing process

“…(c) Feature size: the three stamp patterns chosen were lines with 50 µm width and 100 µm pitch; lines with 20 µm width and 40 µm pitch; and hexagons having edges with 5 µm width and 50 µm length. All these feature sizes are below 70 µm, which is the resolution of standard flexography and near the resolution limit of the naked eye [41]. The hexagonal pattern was chosen based on other examples in literature, as a pattern desirable in industry for printing conductive grids on solar cells [42].…”

Estimation Of Screen Density According To Different Screening Methods With Artificial Neural Network Method In Flexo Printing System

“…Different operations performed by the machine operator (densitometric measurements, ink settings, etc.) machine performance and knowledge and skills of the staff engaged in manufacturing are affective in the process from the beginning to the end of the flexo printing operation [16]. Since it is quite difficult to define such a problem as a mathematical model, the ANN method was used to contribute to the Flexo Printing Technology.…”