TY  - JOUR
TT  - Estimation Of Screen Density According To Different Screening Methods With Artificial Neural Network Method In Flexo Printing System
AU  - Kurt, Mustafa Batuhan
AU  - Karatepe Mumcu, Yelda
AU  - Özdemir, Lütfi
PY  - 2018
DA  - September
DO  - 10.2339/politeknik.386932
JF  - Politeknik Dergisi
PB  - Gazi Üniversitesi
WT  - DergiPark
SN  - 2147-9429
SP  - 575
EP  - 580
VL  - 21
IS  - 3
KW  - Packaging
KW  - flexo printing
KW  - screening methods
KW  - flexo plate
KW  - artificial neural networks
N2  - Choice of dot shape is the most important factors thataffect the printing quality in the flexographic printing system. The aim of theoperations performed by the machine operator during the printing process(densitometric measurements, ink settings, etc.) is to achieve the same qualityfrom the first printing to last printing. This study attempts to estimatescreen density values obtained from the same polymer structure (DFR), 175 Lpiscreening and 10 different screen structures using the Artificial NeuralNetworks method (ANN). Data necessary for calculations were obtained from realvalues as a result of experimental studies. The correlation coefficient of thedata obtained from the model created with ANN for screen density values wasfound to be 98,902% and this value was found to be consistent with scientificvalues. According to the results, the neural network model used in flexographicprinting systems of different screening methods predictable effect on theprinting result.
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UR  - https://doi.org/10.2339/politeknik.386932
L1  - https://dergipark.org.tr/tr/download/article-file/415081
ER  -