Study on Measurement Model of Lignin Content in Pulp After Alkaline Extraction

Abstract

Because kappa number cannot accurately represent the lignin content in the pulp after alkaline extraction, lead to the excessive dosage of bleaching chemicals added and the pollutant content increases. In order to accurately determine the dosage of bleaching agent, reduce pollutant emissions, a prediction model of lignin content of pulp was established by analyzing the correlation between lignin content and alkaline extraction conditions in this paper. The results show that the established soft sensor model can accurately measure lignin content, it is helpful to determine the amount of bleaching agent more accurately, reduce pollutant generation after pulp bleaching.

Optimizing Bleaching Operating Conditions Based on Mathematical Programming to Reduce AOX Emissions

“…Pulp quality is typically measured by brightness, the Kappa number, and viscosity. 18,19 We also studied the effects of operating conditions on the three components (cellulose, hemicellulose, and lignin) in bleached pulp and steam consumption in our previous study. 20 The above research results will be the basis for the establishment of models between the operating conditions and AOX emission as well as pulp quality indices.…”