Publication:
Estimation of Screen Density According to Different Screening Methods With Artificial Neural Network Method in Flexo Printing System

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dc.contributor.authorÖZDEMİR, LUTFİ
dc.contributor.authorsKurt, Mustafa Batuhan; Karatepe Mumcu, Yelda; Ozdemir, Lutfi
dc.date.accessioned2022-03-14T08:37:21Z
dc.date.available2022-03-14T08:37:21Z
dc.date.issued2018-01-30
dc.description.abstractChoice 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 (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 (DFR), 175 Lpi screening and 10 different screen structures using the Artificial Neural Networks method (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.
dc.identifier.doi10.2339/politeknik.386932
dc.identifier.eissn2147-9429
dc.identifier.issn1302-0900
dc.identifier.urihttps://hdl.handle.net/11424/242054
dc.identifier.wosWOS:000444156000008
dc.language.isoeng
dc.publisherGAZI UNIV
dc.relation.ispartofJOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectPackaging
dc.subjectflexo printing
dc.subjectscreening methods
dc.subjectflexo plate
dc.subjectartificial neural networks
dc.titleEstimation of Screen Density According to Different Screening Methods With Artificial Neural Network Method in Flexo Printing System
dc.typearticle
dspace.entity.typePublication
local.avesis.id4aa0f197-3d2d-4486-822a-b030c902909a
local.import.packageSS16
local.indexed.atWOS
local.journal.numberofpages6
oaire.citation.endPage580
oaire.citation.issue3
oaire.citation.startPage575
oaire.citation.titleJOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI
oaire.citation.volume21
relation.isAuthorOfPublication3e16f5d6-28be-44ce-9ad1-8979a0b53eeb
relation.isAuthorOfPublication.latestForDiscovery3e16f5d6-28be-44ce-9ad1-8979a0b53eeb

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