Flexography printing quality analysis

Jurkonis, Eugenijus; Matulaitienė, Agnė

Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/146465

Flexography printing quality analysis

Details

Publication Type (CRIS)

Straipsnis nerecenzuojamoje Lietuvos tarptautinės konferencijos medžiagoje / Article in non-peer-reviewed Lithuanian international conference proceedings (P2b)

Publication Type (eLABa)

Straipsnis nerecenzuotame konferencijos darbų leidinyje / Article in an un-reviewed conference proceedings (P2)

VILNIUS TECH Research Priorities and Topics

Išmaniosios komunikacijų technologijos / Smart communication technologies (IK02)

Lithuanian Intelligent Specialization

Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies (L104)

Author(s)

Author	Affiliation
Jurkonis, Eugenijus	Mechatronikos, robotikos ir skaitmeninės gamybos katedra / Department of Mechatronics, Robotics and Digital Manufacturing (0450)
Matulaitienė, Agnė	Mechatronikos, robotikos ir skaitmeninės gamybos katedra / Department of Mechatronics, Robotics and Digital Manufacturing (0450)

Title

Flexography printing quality analysis

[en]

E. Jurkonis, A. Matulaitiene

Is part of

lnovacijos leidybos, poligrafijos ir multimedijos technologijose 2013: tarptautinė mokslinė-praktinė konferencija = Innovations in publishing, printing and multimedia technologies 2013: scientific-practical conference. Kaunas, 2013 04 17-18 : straipsnių rinkinys

Published In

Year	Start Page	End Page
2013	117	121

Publisher

Kaunas : Kauno kolegijos leidybos centras

Extent

p. 117-121

URI

URI
https://hdl.handle.net/20.500.14911/146465

Cited references

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Mechanikos inžinerija / Mechanical Engineering (T009)

Abstract (en)

The purpose of paper is to discuss production quality analyzes in flexography printing with the help of data mining. Traditionally analysis of printed production quality is described by some well-known criteria. Data Mining analysis give possibility to seek influence of much bigger number of parameters, to check different hypotheses. Data about production quality of real printing house presented and analyzed.