Paper Tissue Softness Rating by Acoustic Emission Analysis

Softness is one of the essential properties hygiene tissue products. Reliably measuring it utmost importance to ensure balance between customer expectations and cost-effective production. This study presents a method for assessing softness by analyzing acoustic emissions produced while tearing specimen. The aim was train neural network models using corrected results human panel tests as ground truth labels predict in two- three-class recognition tasks. We also investigate possibility predicting some production parameters related property. proved that could be reliably estimated only noise.