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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
