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Magazine articles
Controlling anaerobic bacteria to improve product quality and mill safety, TAPPI JOURNAL, February 1991, Vol. 74(2)
Controlling anaerobic bacteria to improve product quality and mill safety, TAPPI JOURNAL, February 1991, Vol. 74(2)
Journal articles
Insights into boiling heat transfer in impulse drying, TAPPI JOURNAL, February 1991, Vol. 74(2)
Insights into boiling heat transfer in impulse drying, TAPPI JOURNAL, February 1991, Vol. 74(2)
Journal articles
Principles of hydrodynamic instability: application in coating systems, TAPPI JOURNAL, February 1991, Vol. 74(2)
Principles of hydrodynamic instability: application in coating systems, TAPPI JOURNAL, February 1991, Vol. 74(2)
Journal articles
Finishing and converting conference stresses recycling, quality, and computer implementation, TAPPI JOURNAL, January 1991, Vol. 74(1)
Finishing and converting conference stresses recycling, quality, and computer implementation, TAPPI JOURNAL, January 1991, Vol. 74(1)
Journal articles
Strategies for preventive maintenance in a modern pulp and paper mill, TAPPI JOURNAL, June 1991, Vol. 74(6)
Strategies for preventive maintenance in a modern pulp and paper mill, TAPPI JOURNAL, June 1991, Vol. 74(6)
Magazine articles
Fifth international printing and graphic arts conference: a joint success, TAPPI JOURNAL, June 1991, Vol. 74(6)
Fifth international printing and graphic arts conference: a joint success, TAPPI JOURNAL, June 1991, Vol. 74(6)
Magazine articles
Highly corrosion-resistant metals for the pulp and paper industry, TAPPI JOURNAL, March 1991, Vol. 74(3)
Highly corrosion-resistant metals for the pulp and paper industry, TAPPI JOURNAL, March 1991, Vol. 74(3)
Journal articles
Predictive advisory solutions for chemistry management, control, and optimization, TAPPI Journal March 2025
ABSTRACT: Process runnability and end-product quality in paper and board making are often connected to chemistry. Typically, monitoring of the chemistry status is based on a few laboratory measurements and a limited number of online specific chemistry-related measurements. Therefore, mill personnel do not have real-time transparency of the chemistry related phenomena, which can cause production instability, including deposition, higher chemical consumption, quality issues in the end-product and runnability problems. Machine learning techniques have been used to establish soft sensor models and to detect abnormalities. Furthermore, these soft sensors prove to be most useful when combined with expert-driven interpretation. This study is aimed at utilizing a hybrid solution comprising chemistry and physics models and machine learning models for stabilizing chemistry-related processes in paper and board production. The principal idea is to combine chemistry/physics models and machine learning models in a fashion close to white box modeling. A cornerstone in the approach is to formulate explanations of the findings from the models; that is, to explain in plain text what the findings mean and how operational changes can mitigate the identified risks. The approach has been demonstrated for several different applications, including deposit control in the wet end, both raw water treatment and usage, and wastewater treatment. This approach provides mill personnel with knowledge of identified phenomena and recommendations on how to stabilize chemistry-related processes. Instead of using close to black box machine learning models, a hybrid solution including chemistry/physics models can enhance the performance of artificial intelligence (AI) deployed systems. A successful way of gaining the trust from mill personnel is by creating a plain text explanation of the findings from the hybrid models. The correlation between the likelihood of a phenomena and disturbance and the explanations are derived and validated by application and chemistry and physics experts.
Journal articles
Research on an energy model for X-ray measurement of paper ash content using COMSOL, TAPPI Journal May 2025
ABSTRACT: Ash content is one of the critical quality parameters in papermaking production. Traditional 55Fe radioactive sources used for online ash content measurement have a short lifespan and high costs, while offline methods such as the combustion method or chemical analysis are time-consuming. Using an X-ray tube as the radiation source, continuous X-ray measurement offers advantages such as being rapid, non-destructive, and cost-effective. In this study, COMSOL software was employed to simulate the measurement process and establish an energy attenuation model for X-ray measurement of paper ash content. The model simulates the energy attenuation of X-rays before and after transmission through four materials: calcium carbonate (CaCO3), titanium dioxide (TiO2), wood-based plant fibers, and paper samples filled with CaCO3. The absorption coefficients of paper samples with varying ash content were investigated using the model and compared with experimental results obtained from continuous X-ray measurements. The results indicate that the proposed energy simulation model can reduce the measurement error of paper ash content by 1%, significantly enhancing the reliability and accuracy of ash content measurement.
Journal articles
Magazine articles
Incorporation of post-consumer pizza boxes in the recovered fiber stream: Impacts of grease on finished product quality, TAPPI Journal March 2021
ABSTRACT: Grease and cheese contamination of used pizza boxes has led to misunderstanding and controversy about the recyclability of pizza boxes. Some collection facilities accept pizza boxes while others do not. The purpose of this study is to determine whether typical grease or cheese contamination levels associated with pizza boxes impact finished product quality. Grease (from vegetable oil) and cheese are essentially hydrophobic and in sufficiently high concentration could interfere with interfiber bonding, resulting in paper strength loss.Findings from this study will be used to determine the viability of recycling pizza boxes at current and future con-centrations in old corrugated containers (OCC) recovered fiber streams. These findings will also be used to inform the acceptability of pizza boxes in the recycle stream and educate consumers about acceptable levels of grease or cheese residue found on these recycled boxes.