Taguchi's Grey Relationship Analysis (GRA) for Comparing the Performance of Various Inkjet Printheads for Tone Value Increase on Uncoated Paper Substrates
Article Sidebar
Main Article Content
Abstract
Digital technologies in printing attract more attention among the printers in recent years. All around the world, inkjet technology is used by both home and commercial printers. New applications for inkjet printing have emerged as the technology has developed, including the printing of high-quality periodicals and the packaging sector. This state-of-the-art technology, particularly Inkjet, has undergone extensive testing and refinement to ensure high quality prints High-quality printing often makes use of gloss coated sheets. Yet the high price of gloss coated paper limits its usefulness to certain types of work. Since then, it has been clear that uncoated papers are the best option for this task. The print quality would be different from that of glossy coated paper because of the roughness, porosity, and unevenness of the surface. Tone Value Increase (TVI) on uncoated paper printed with various inkjet printheads is an intriguing topic for investigation. Therefore, effective TVI is crucial. Multiple commercial inkjet printheads were tested for their TVI performance on uncoated paper and the results were compared using a novel statistical approach Taguchi's Grey Relational Analysis (GRA). The use of this statistical method yielded fruitful results in our study.
Article Details
References
Kipphan H. 2001. Handbook of Print Media. [place unknown]: Springer-Verlag Berlin Heidelberg.
Fleming PD, Cawthorne JE, Mehta F, Halwawala S, Joyce MK. 2003. Interpretation of dot fidelity of ink jet dots based on image analysis. J Imaging Sci Technol. 47(5):394–399.
Wu YJ, Pekarovicova A, Fleming PD. 2007. How Paper Properties Influence Color Reproduction of Digital Proofs for Publication Gravure. TAGA.:54.
Chang SY. 2001. A Dot-gain Analysis of Inkjet Printing. In: IS T’s Int Conf Digit Prod Print Ind Appl. [place unknown]; p. 364–368.
Namedanian M, Gooran S. 2010. High-Resolution Analysis of Optical and Physical Dot Gain. In: TAGA (Technical Assoc Graph Arts). [place unknown]: Sewickley, PA, USA: Technical Association of the Graphic Arts; p. 399–408.
Hersch RD, Emmel P, Collaud F, Crété F. 2005. Spectral Reflection and Dot Surface Prediction Models for Color Halftone Prints. J Electron Imaging. 14(3):033001. doi:10.1117/1.1989987
Alameady, M. H. ., George, L. E. ., & Albermany, S. . (2023). Energy Theft Detection with Determine Date Theft Period for State Grid Corporation of China Dataset. International Journal of Intelligent Systems and Applications in Engineering, 11(1s), 01–13. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2491
Ozcan A, Tutak D. 2021. The Effect of Paper Surface-coating Pigments and Binders on Colour Gamut and Printing Parameters. Color Technol. 137(5):445–455. doi:10.1111/cote.12540
Zuffi S, Schettin R. 2004. Modeling Dot Gain and Inks Interaction. In: Color Imaging Conf. [place unknown]; p. 181–186.
Murray A. 1936. Monochrome Reproduction in Photoengraving. J Franklin Inst. 221(6):721–744. doi:10.1016/S0016-0032(36)90524-0
Li Y, Gooran S, Kruse B. 2001. Simulation of Optical Dot Gain in Multichromatic Tone Production. J Imaging Sci Technol. 45(2):198–204.
Dhabliya, M. D. . (2021). Cloud Computing Security Optimization via Algorithm Implementation. International Journal of New Practices in Management and Engineering, 10(01), 22–24. https://doi.org/10.17762/ijnpme.v10i01.99
Chu F, Li C. 2013. Study on the Effect of Paper Properties on the Dot Reproduction Attributes Based on the Grey Relational Analysis. Appl Mech Mater. 262:297–301. doi:10.4028/www.scientific.net/AMM.262.297
Kumar S, Baral AK. 2022. Comparative Study of Different Inkjet Printheads Performance in Context to Dot Gain on Gloss Coated Substrate using Taguchi ’s Grey Relational Analysis (GRA ). NeuroQuantology. 20(18):545–559. doi:10.48047/NQ.2022.20.18.
Christopher Davies, Matthew Martine, Catalina Fernández, Ana Flores, Anders Pedersen. Improving Automated Essay Scoring with Machine Learning Techniques. Kuwait Journal of Machine Learning, 2(1). Retrieved from http://kuwaitjournals.com/index.php/kjml/article/view/173
Lee H-K, Joyce MK, Fleming PD, Cawthorne JE. 2005. Influence of Silica and Alumina Oxide on Coating Structure and Print Quality of Ink-jet Papers. Tappi J. 4(2):11–16.
Lin CC, Chang FL, Perng YS, Yu ST. 2016. Effects of Single and Blended Coating Pigments on the Inkjet Image Quality of Dye Sublimation Transfer Printed Paper: SiO2, CaCO3, Talc, and Sericite. Adv Mater Sci Eng. 2016. doi:10.1155/2016/4863024
Morzelona, R. (2021). Human Visual System Quality Assessment in The Images Using the IQA Model Integrated with Automated Machine Learning Model . Machine Learning Applications in Engineering Education and Management, 1(1), 13–18. Retrieved from http://yashikajournals.com/index.php/mlaeem/article/view/5
Ha YB, Park JY, Kim HJ. 2019. Influence of the Physical Properties of Digital Printing Paper on the Printing Quality. ?? ????. 51(2):108–120. doi:10.7584/JKTAPPI.2019.04.51.2.108
Sönmez S, Özden Ö. 2019. The influence of pigment proportions and calendering of coated paperboards on dot gain. Bulg Chem Commun. 51(2):212–218. doi:10.34049/bcc.51.2.4853
Julong D. 1989. Introduction to Grey System Theory. J Grey Syst. 1(1):1–24.
Ana Silva, Deep Learning Approaches for Computer Vision in Autonomous Vehicles , Machine Learning Applications Conference Proceedings, Vol 1 2021.
Liu S, Forrest J, Yang Y. 2011. A Brief Introduction to Grey Systems Theory. In: Proc 2011 IEEE Int Conf Grey Syst Intell Serv GSIS’11 - Jt with 15th WOSC Int Congr Cybern Syst. [place unknown]; p. 1–9. doi:10.1109/GSIS.2011.6044018
Patil AN, Walke G, Gawkhare M. 2019. Grey Relation Analysis Methodology and its Application. Res Rev Int J Multidiscip. 04(02):409–411. doi:10.5281/zenodo.2578088
Vyas, A. ., & Sharma, D. A. . (2020). Deep Learning-Based Mango Leaf Detection by Pre-Processing and Segmentation Techniques. Research Journal of Computer Systems and Engineering, 1(1), 11–16. Retrieved from https://technicaljournals.org/RJCSE/index.php/journal/article/view/18
Kumar S, Baral AK. 2022. Comparative Study & Critical Analysis of Different Inkjet Printheads in Relation to their Print Performance Parameters. Int J Mech Eng. 7(3):115–128.