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An Analytical Approach to Assess the Interrelation of Surface Properties and Softness of Tissue Paper, TAPPICon22

Black liquor evaporators upgrade — How many effects?, TAPPI Journal April 2023

ABSTRACT: Black liquor evaporation is generally the most energy intensive unit operation in a pulp and paper manufacturing facility. The black liquor evaporators can represent a third or more of the total mill steam usage, followed by the paper machine and digester. When considering an evaporator rebuild or a new system, the key design question is how many effects to include in the system. The number of effects is the main design feature that deter-mines the economy of the system and the steam usage for a given evaporation capacity. A higher number of effects increases steam economy and reduces energy cost to a point, but additional effects also have higher initial capital cost and increased power costs. This research paper uses life-cycle cost analysis (LCCA) as a method to determine the optimum number of evaporator effects for a new evaporator system. The same basic principles and method can also apply to existing evaporator rebuild projects.

Creating adaptive predictions for packaging-critical quality parameters using advanced analytics and machine learning, TAPPI Journal November 2019

ABSTRACT: Packaging manufacturers are challenged to achieve consistent strength targets and maximize pro-duction while reducing costs through smarter fiber utilization, chemical optimization, energy reduction, and more. With innovative instrumentation readily accessible, mills are collecting vast amounts of data that provide them with ever increasing visibility into their processes. Turning this visibility into actionable insight is key to successfully exceeding customer expectations and reducing costs. Predictive analytics supported by machine learning can provide real-time quality measures that remain robust and accurate in the face of changing machine conditions. These adaptive quality “soft sensors” allow for more informed, on-the-fly process changes; fast change detection; and process control optimization without requiring periodic model tuning.The use of predictive modeling in the paper industry has increased in recent years; however, little attention has been given to packaging finished quality. The use of machine learning to maintain prediction relevancy under ever-changing machine conditions is novel. In this paper, we demonstrate the process of establishing real-time, adaptive quality predictions in an industry focused on reel-to-reel quality control, and we discuss the value created through the availability and use of real-time critical quality.

A study of the impact on pulp quality of the processing steps used in the conversion of inkjet? printed commercial papers to deinked pulp by two deinking methods, 19PaperCon

A study of the impact on pulp quality of the processing steps used in the conversion of inkjet? printed commercial papers to deinked pulp by two deinking methods, 19PaperCon

MPC for Simple Setup of Mid-Range and Other Advanced Controls, 19PaperCon

MPC for Simple Setup of Mid-Range and Other Advanced Controls, 19PaperCon

Beyond Web Inspection and Monitoring systems • Intelligent cameras that increase papermaking efficiency, 19PaperCon

Beyond Web Inspection and Monitoring systems • Intelligent cameras that increase papermaking efficiency, 19PaperCon

Filler Co-Flocculation With MFC - Novel Predictive Method, 19PaperCon

Filler Co-Flocculation With MFC - Novel Predictive Method, 19PaperCon

Setting the Pace Through Conversions and Optimization Necessity Is The Mother of Invention • Forward Thinking Concepts On How To Build A PM For The Future, 19PaperCon

Setting the Pace Through Conversions and Optimization Necessity Is The Mother of Invention • Forward Thinking Concepts On How To Build A PM For The Future, 19PaperCon

Moisture management and optimization from headbox to reel in papermaking process, 19PaperCon

Moisture management and optimization from headbox to reel in papermaking process, 19PaperCon

Filler Co-Flocculation With MFC - Novel Predictive Method, 19PaperCon

Filler Co-Flocculation With MFC - Novel Predictive Method, 19PaperCon