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Edge crush testing methods and box compression modeling, TAPPI Journal August 2022

ABSTRACT: While multiple test procedures have been developed to assess the inherent compressive strength of corrugated materials (edge crush test, ECT), limited work has explored the appropriateness of each in the context of box compression modeling. This study incorporates a variety of real-world samples, highlighting the varying challenges different ECT methods face in measuring the intrinsic compressive resistance of combined corrugated board. We examine each of these methods as inputs for different types of models, as well as discuss the propagation of measurement variation through the modeling effort. By highlighting the cases in which a given ECT method no longer proves to be an optimal parameter in box compression strength modeling, we explore how we might better measure this material property.

SetPoint: It’s All About the Knowledge, Tissue360º Fall/Winter 2022

SetPoint: It’s All About the Knowledge, Tissue360º Fall/Wint

Prepare to Expect the Unexpected, Tissue360º Fall/Winter 2022

Prepare to Expect the Unexpected, Tissue360º Fall/Winter 202

Pulp and Paper Playing a Crucial Role in Global Bioeconomy, Paper360º January/February 2022

Pulp and Paper Playing a Crucial Role in Global Bioeconomy, Paper360º January/February 2022

Automating Process Cooling Can Eliminate ´Strainer Danger’, Paper360º January/February 2022

Automating Process Cooling Can Eliminate ´Strainer Danger’, Paper360º January/February 2022

Turning Pulper Rejects into Valuable Fuel, Paper360º January/February 2022

Turning Pulper Rejects into Valuable Fuel, Paper360º January/February 2022

How Has China’s Energy Crisis Impacted Its P&P Industry?, Paper360º January/February 2022

How Has China’s Energy Crisis Impacted Its P&P Industry?, Paper360º January/February 2022

On the usage of online fiber measurements for predicting bleached eucalyptus kraft pulp tensile index — an industrial case, TAPPI Journal July 2022

ABSTRACT: Cellulose pulp’s physical-mechanical properties are determined by laboratory tests obtained from prepared handsheets. However, this procedure is time intensive and presents a lead time until the results are available, hindering its utilization for monitoring and decision-making in a pulp mill. In this context, developing real-time solutions for physical-mechanical properties prediction is fundamental. This work applied a mathematical modeling approach to develop a soft sensor for tensile index monitoring. The mathematical model considers online morphology measurements obtained from the last bleaching stage outlet stream and important process variables for tensile index prediction. The results obtained are satisfactory compared to laboratory results, presenting a mean absolute percentual error of 2.5%, which agrees with the laboratory testing method’s reproducibility.

The Future of Water for the Pulp and Paper Industry, Paper360º July/August 2022

The Paper360° 2022 TOP 50 POWER LIST, Paper360º July/August 2022