MATLAB-empowered brightness defect prediction system in pulp processing bleaching stage: An empirical modelling approach
Year: 2024
Type: article
Abstract: Pulp quality significantly affects paper products , necessitating a balance between brightness, strength , and environmental sustainability . The bleaching process , which includes delignification and brightening stages, is crucial for achieving high pulp brightness. Current pulp bleaching research emphasizes optimizing processes and developing predictive models for better quality control , yet real-time pulp brightness monitoring remains a challenge. This research developed a MATLAB program to predict pulp brightness and consistency in real-time during bleaching, conducted entirely without incurring any financial costs. Empirical models for predicting pulp consistency at the extraction-oxidative-peroxide (EOP) and D 1 stages were created using second-order polynomial equations, incorporating production rate and inlet pressure as variables. Brightness increment correlations were formulated based on temperature, chemical flow rate, residence time, pH, and inlet pressure , with specific models for the preceding chlorine dioxide (D A ), EOP, and second chlorine dioxide (D 1 ) stages. Data normalization ensured efficient processing by standardizing parameter scales. Results showed relationships between brightness increment and parameters for each sub-stage such as D A is linear for pH, quadratic for chlorine dioxide (ClO 2 ) flow rate, cubic for temperature and residence time; EOP is linear for hydrogen peroxide (H 2 O 2 ) flow rate, quadratic for temperature, cubic for inlet pressure, residence time, and pH; D 1 is linear for pH, quadratic for ClO 2 flow rate and residence time, cubic for inlet pressure and temperature. The coefficient of determination (R 2 ) for the D A , EOP, and D 1 sub-stages are 0.85313, 0.86526, and 0.86322, respectively. Parameters with the highest contributions in each stage were identified, such as inlet pressure in the D 1 substage yielding the highest brightness gain. This system offers an alternative approach for analyzing pulp quality issues and is adaptable to future mill operational needs.
Language: English
Subfield: Mechanics of Materials
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $760
OpenAlex ID: W4402297759