Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
227650 | Journal of Industrial and Engineering Chemistry | 2014 | 6 Pages |
Abstract
The surface infrared spectra of coated paper with different levels of calcium carbonate and SB-latex in the coating layer were measured using ATR-FTIR. The relations between different levels of CaCO3 and SB-latex and their respective characteristic peak areas were then established. The results show that the general regression neural network (GRNN) model can be used to estimate the CaCO3 and SB-latex contents in coatings of coated papers. The maximum errors for calcium carbonate and SB-latex were only 3.32% and 3.39%, respectively, and occurred under conditions that are at the extreme of what might be encountered in an actual production facility.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Chemical Engineering (General)
Authors
Huan Zhao, Qingxi Hou, Yimei Hong, Wei Liu, Yang Li, Fang Tong,