Prediction of Kappa Number in Eucalyptus Kraft Pulp Continuous Digester Using the Box & Jenkins Methodology

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ISSN Print: 2160-0392
ISSN Online: 2160-0406
www.scirp.org/journal/aces
E-mail: aces@scirp.org

"Prediction of Kappa Number in Eucalyptus Kraft Pulp Continuous Digester Using the Box & Jenkins Methodology"
written by Flávio M. Correia, José V. Hallak d’Angelo, Roger J. Zemp, Sueli A. Mingoti,
published by Advances in Chemical Engineering and Science, Vol.4 No.4, 2014

has been cited by the following article(s):

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[2]	Analysis of Cellulose Pulp Characteristics and Processing Parameters for Efficient Paper Production
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[3]	A Review on the Modeling, Control and Diagnostics of Continuous Pulp Digesters
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[4]	Towards a learning system for process and energy industry
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[5]	Towards a learning system for process and energy industry: Enabling optimal control, diagnostics and decision support
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[6]	An overview of paper and paper based food packaging materials: health safety and environmental concerns
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[1]	Analysis of Cellulose Pulp Characteristics and Processing Parameters for Efficient Paper Production Sustainability, 2020 DOI:10.3390/su12177219

[2]	A Review on the Modeling, Control and Diagnostics of Continuous Pulp Digesters Processes, 2020 DOI:10.3390/pr8101231

[3]	An overview of paper and paper based food packaging materials: health safety and environmental concerns Journal of Food Science and Technology, 2019 DOI:10.1007/s13197-019-03950-z

[4]	A novel approach to white liquor control in a continuous digester using the Box-Jenkins methodology to predict chip bulk density TAPPI Journal, 2015 DOI:10.32964/TJ14.6.395

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