Linking process variables and newsprint properties in Mazandaran Wood and paper Industries

• Authors: Mohammad Hadi Moradian , Hossein Resalati
• Languages of publication: EN

Abstracts

EN

Pulp and paper industries have provided great research opportunities to control systems. The objective of this study was to investigate the relationships between 80 process variables of CMP tower and stock preparation, and 17 newsprint quality properties in Mazandaran Wood and Paper Industries (MWPI). After the preparation of two suitable data series considering the time needed for pulp to paper, the relations between process dependent and newsprint independent variables were determined using partial least squares (PLS) regression. As a result, two PLS models were developed. The first model with 4 latent vectors categorized and related CMP tower variables and the second one, through 8 latent vectors connected stock preparation variables with paper properties. PLS regression coefficients determined how much the most influencing process variables impact each paper properties

Keywords

EN

Newsprint; Statistical model; PLS regression; Process variables

• Publisher: De Gruyter Open
• Journal: Polish Journal of Chemical Technology
• Year: 2014
• Volume: 16
• Issue: 1
• Pages: 110-116

Dates

published

1 - 03 - 2014

online

25 - 03 - 2014

Contributors

author

Mohammad Hadi Moradian

• Behbahan Khatam Alanbi University of Technology, Natural Resources Department, Behbahan, Iran,

author

Hossein Resalati

• Gorgan Agricultural Science and Natural Resources, Department of Pulp and Paper Technology, Gogan, Iran

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Identifiers

DOI

10.2478/pjct-2014-0019