PREDICTION OF NEWSPRINT PROPERTIES FROM STOCK PREPARATION VARIABLES IN MAZANDARAN WOOD AND PAPER INDUSTRIES

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

MORADIAN M.H.; RESALATI H.; EBRAHIMI GH.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Wood and Forest Science and Technology Year:2015 | Volume:22 | Issue:2 Page(s): 35-53

Download Full-Text

Persian Verion

View:

1,142

Download:

Cites:

Information Journal Paper

Title

PREDICTION OF NEWSPRINT PROPERTIES FROM STOCK PREPARATION VARIABLES IN MAZANDARAN WOOD AND PAPER INDUSTRIES

Author(s)

MORADIAN M.H. | RESALATI H. | EBRAHIMI GH. | Issue Writer Certificate

Keywords

NEWSPRINTQ2

STATISTICAL MODELQ2

PLS REGRESSIONQ2

STOCK PREPARATION VARIABLESQ2

Abstract

Background and objectives: Pulp and paper industries have provided great research opportunities to control systems. Among different methods, partial least square (PLS) regression is a common software modeling used where the variables are numerous and collinear in industrial applications. Broderick et.al. (1995, 1996), Grage (2004), Nordstrom et.al. (2005), and Ortiz-Cordova et.al. (2006) have used this method successfully using experimental or real pulp and paper industry data. Mazandaran pulp and paper industry as the largest paper manufacturer in Iran and the largest wood-based paper manufacturer in the Middle East suffers from some process control problems to reach acceptable NEWSPRINT quality for it has the variable fluctuations in production line. The objective of this study was to investigate the relationships between 56 process variables of stock preparation, and 17 NEWSPRINT quality properties in Mazandaran Wood and Paper Industries (MWPI) and to develop predictive models.Materials and methods: After preparation of suitable data series considering the time needed for pulp to paper, the relations between process variables and NEWSPRINT properties were determined using partial least square regression (PLS) and SAS and SPSS software. After model development, Split-sample cross validation was done to calculate the best number of vectors. Variables Importance for Projections (VIP) statistic was used to determine the importance of independent variables in PLS model and to summarize it.Results: Developing PLS model, 8 calculated latent vectors could categorize and relate variables and determine more than 60 percent of NEWSPRINT properties changes. The first vector as the most important factor, determined changes of 7 NEWSPRINT properties including; Caliper, Bulk, Breaking Length MD, Elongation MD, Burst, Opacity and Air Resistance from some of STOCK PREPARATION VARIABLES including; stock pressure in the third group cleaners, rush to drug speed, stock save-all flow, output of second fan pump, head-box slice opening degree, white water chamber valve. The majority of these process variables influence on fibers bonding quality in NEWSPRINT paper.Conclusion: Mazandaran pulp and paper industry as one of the largest and most complex manufacturing units in Iran confronts some production alternations. Nevertheless, huge amount of process data is being measured and recorded all day and night in different parts of this complex. Therefore, using PLS model and real data of a part of factory, this research was done and could relate STOCK PREPARATION VARIABLES to final NEWSPRINT properties among many variables by 8 calculated latent vectors. Determination of NEWSPRINT properties changes from defined STOCK PREPARATION VARIABLES among many of them is quite beneficial and facilitates better and more precise control in the factory.

Cites

No record.

References

No record.

Cite

APA: Copy

MORADIAN, M.H., RESALATI, H., & EBRAHIMI, GH.. (2015). PREDICTION OF NEWSPRINT PROPERTIES FROM STOCK PREPARATION VARIABLES IN MAZANDARAN WOOD AND PAPER INDUSTRIES. JOURNAL OF WOOD AND FOREST SCIENCE AND TECHNOLOGY, 22(2), 35-53. SID. https://sid.ir/paper/156878/en

Vancouver: Copy

MORADIAN M.H., RESALATI H., EBRAHIMI GH.. PREDICTION OF NEWSPRINT PROPERTIES FROM STOCK PREPARATION VARIABLES IN MAZANDARAN WOOD AND PAPER INDUSTRIES. JOURNAL OF WOOD AND FOREST SCIENCE AND TECHNOLOGY[Internet]. 2015;22(2):35-53. Available from: https://sid.ir/paper/156878/en

IEEE: Copy

M.H. MORADIAN, H. RESALATI, and GH. EBRAHIMI, “PREDICTION OF NEWSPRINT PROPERTIES FROM STOCK PREPARATION VARIABLES IN MAZANDARAN WOOD AND PAPER INDUSTRIES,” JOURNAL OF WOOD AND FOREST SCIENCE AND TECHNOLOGY, vol. 22, no. 2, pp. 35–53, 2015, [Online]. Available: https://sid.ir/paper/156878/en

Related Journal Papers