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

Authors : Mustafa Batuhan KURT, Yelda KARATEPE MUMCU, Lütfi ÖZDEMİR

Pages : 575-580

Doi:10.2339/politeknik.386932

View : 37 | Download : 19

Publication Date : 2018-09-01

Article Type : Research Paper

Abstract :Choice of dot shape is the most important factors that affect the printing quality in the flexographic printing system. The aim of the operations performed by the machine operator during the printing process insert ignore into journalissuearticles values(densitometric measurements, ink settings, etc.); is to achieve the same quality from the first printing to last printing. This study attempts to estimate screen density values obtained from the same polymer structure insert ignore into journalissuearticles values(DFR);, 175 Lpi screening and 10 different screen structures using the Artificial Neural Networks method insert ignore into journalissuearticles values(ANN);. Data necessary for calculations were obtained from real values as a result of experimental studies. The correlation coefficient of the data obtained from the model created with ANN for screen density values was found to be 98,902% and this value was found to be consistent with scientific values. According to the results, the neural network model used in flexographic printing systems of different screening methods predictable effect on the printing result.
Keywords : Packaging, flexo printing, screening methods, flexo plate, artificial neural networks

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