Search

ASPI News, Paper360º July/August 2024

ST Tissue Producing 310-in Semi-Creped Parent Reels on Reco

ST Tissue Producing 310-in Semi-Creped Parent Reels on Reconfigured UFS Machine in Virginia, Tissue360º Fall/Winter 2013

New Fabric, Felt, Roll Cover Technologies Boost Tissue Machi

New Fabric, Felt, Roll Cover Technologies Boost Tissue Machine Operating Efficiencies, Tissue360º Fall/Winter 2013

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

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

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

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.