Development of neural models to estimate ink quality parameters of the printing industry

• Grant number: 19/18384-6
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: December 01, 2019
• End date: May 16, 2021
• Field of knowledge: Interdisciplinary Subjects
• Principal Investigator: Erica Regina Filletti Nascimento
• Grantee: Camila Proni
• Host Institution: Instituto de Química (IQ). Universidade Estadual Paulista (UNESP). Campus de Araraquara. Araraquara , SP, Brazil

Abstract

We propose the development of Artificial Neural Networks (RNAS) as an alternative tool for estimating the viscosity, density and solids content of solvent-based inks from graphic and infrared spectroscopy of white and black inks. The ability to learn by example and to generalize the information learned is undoubtedly the main attraction of RNA problem solving. Due to these advantages, this tool will be very useful for the study of paint properties and may bring a possible solution for quality control of raw materials delivered to industries.