Study on the Prediction Model of Paper Printability in Ink-Jet Printing

• Published in: Applied Mechanics and Materials Vol. 182-183; pp. 1126 - 1130
• Main Authors: Xu, Rui Xin, Chen, Guang Xue, Chen, Qi Feng, Qu, Zhen Cai, Chen, Shuang Lian
• Format: Journal Article
• Language: English
• Published: Zurich Trans Tech Publications Ltd 01.06.2012
• Subjects: Ink-Jet Printability; Principal Component Analysis (PCA); Prediction Model; Printing Quality Parameters
• ISBN: 303785426X; 9783037854266
• ISSN: 1660-9336; 1662-7482; 1662-7482
• DOI: 10.4028/www.scientific.net/AMM.182-183.1126

The influences of the paper properties on ink-jet printing quality are very complex. In order to predict the printing quality quickly and accurately, it is necessary to establish a mathematical model and an evaluation system, based on which we can estimate the paper used for ink-jet printing is suitable or not. In this paper, five kinds of ink-jet papers with different properties were chosen, and the properties including brightness (X2),gloss(X3),roughness(X4),air permeability(X5) and absorbency(X6), were tested; then ink-jet printing in the same conditions was carried out and different printing parameters were tested, including solid density(D),dot-gain(DG),print contrast(K)and hue(H). Through combining analysis of each single printing quality parameter with some paper properties by using PCA of SPSS, the correlation functions D/DG/K/H(X2, X3, X4, X5, X6) were obtained. Meanwhile, a comprehensive function Y(D, DG, K, H) involving the printing quality parameters was achieved through synthesis data processing of SPSS. This study shows the influences of paper properties on the printing quality parameters and their corresponding weights, and it also proposes a prediction model of paper printability, which can provide a theory reference for printing work in ink-jet printing.