Thirteenth National Conference on Packaging Engineering (TNCPE 2010 E-BOOK)

Wuhan,China,8.21-8.26,2010

ISBN: 978-1-935068-22-8 Scientific Research Publishing, USA

E-Book 456pp Pub. Date: August 2010

Category: Engineering

Price: $80

Title: Research on the Quality Factors and Predictive Model for Flexographic Printing
Source: Thirteenth National Conference on Packaging Engineering (TNCPE 2010 E-BOOK) (pp 256-259)
Author(s): Lin Zhang, College of Paper-making Engineering, Shaanxi University of Science &Technology, Xian, 710021, China
Meiyun Zhang, College of Paper-making Engineering, Shaanxi University of Science &Technology, Xian, 710021, China
Xiaojie Tu, School of Printing & Package, Wuhan University, Wuhan, 430072, China
Abstract: In this study, the effects of seven key technological properties in flexographic printing (water-Abstract: Mineral fibers with different addition amount were incorporated into waste paper pulp to makebased ink viscosity, anilox screen, type of doctor blade, plate shore hardness, plate relief depth, type ofAbstract: Mineral fibers with different addition amount were incorporated into waste paper pulp to makemounting tape, printing speed) on print density, print contrast and capability of print runs have been investigated.Abstract: Mineral fibers with different addition amount were incorporated into waste paper pulp to makeAnd the best interactions were analyzed by orthogonal testing method of seven variables and two levelsAbstract: Mineral fibers with different addition amount were incorporated into waste paper pulp to makefactorial experiments. Multiple regression method and BP neural network were used to build predictive equationAbstract: Mineral fibers with different addition amount were incorporated into waste paper pulp to makeand mathematic model between technological parameters and print quality index. Experiments suggestAbstract: Mineral fibers with different addition amount were incorporated into waste paper pulp to makethat the most important factor influencing print density, print contrast and capability of print runs is type ofAbstract: Mineral fibers with different addition amount were incorporated into waste paper pulp to makedoctor blade, plate relief depth and print speed respectively. The model accuracy of multiple regression isAbstract: Mineral fibers with different addition amount were incorporated into waste paper pulp to makelower than that of BP neural network but is convenient to use in production.
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