Original scientific paper
https://doi.org/10.25027/agj2017.28
Optimization of flexographic process parameters using taguchi’s grey relational analysis technique
Soumen Basak
orcid.org/0000-0002-2613-7617
; Department of Printing Engineering, Jadavpur University, Salt Lake Campus, Bidhannagar, Kolkata,, West Bengal, India.
*
Saritha Saritha P.C
; Department of Printing Engineering, Jadavpur University, Salt Lake Campus, Bidhannagar, Kolkata,, West Bengal, India.
Kanai Chandra Paul
orcid.org/0000-0002-7942-1363
; Department of Printing Engineering, Jadavpur University, Salt Lake Campus, Bidhannagar, Kolkata,, West Bengal, India.
* Corresponding author.
Abstract
This paper is an experimental and statistical approach to find out an optimal solution for the high print quality reproducible by flexographic printing on coated and uncoated substrate using Taguchi’s Grey Relational Analysis method. The halftone image composed of round and square shaped dots with AM screening and the anilox roller with three different screen rulings are employed at different trial runs of experiment. Total of 12 numbers of experimental runs with different combinations of paper grades, halftone dot shapes and anilox roller rulings are employed in the experiment to investigate its influence on the final print quality. The print quality evaluation is based on the assessment of Optical Ink Density (solid areas), Dot Gain, Hue Error and Print Contrast using Taguchi’s Grey Relational Analysis method. Based on the Taguchi’s GRA score, the optimal solution for the high print quality is prioritized. This paper aims to distinguish the influence of substrate, halftone dot shape and anilox cell ruling in the final print quality of flexographic process. Also, it demonstrates the scope of applying Taguchi’s Grey Relational Analysis in the printing field to find out an optimal solution for the multiple criteria-based decision-making activities.
Keywords
Optical Ink Density, Dot Gain, Hue Error, Print Contrast, Taguchi’s GRA method
Hrčak ID:
320971
URI
Publication date:
30.9.2024.
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