DEVELOPMENT OF STATISTICAL MODELS FOR PREDICTING BURST AND TEARS STRENGTHS OF NEWSPRINT IN MWPI

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MORADIAN M.H.; EBRAHIMI GHANBAR; RESALATI H.; DOURADO A.

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Journal: IRANIAN JOURNAL OF NATURAL RESOURCES Year:2008 | Volume:61 | Issue:3 Page(s): 733-749

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Title

DEVELOPMENT OF STATISTICAL MODELS FOR PREDICTING BURST AND TEARS STRENGTHS OF NEWSPRINT IN MWPI

Author(s)

MORADIAN M.H. | EBRAHIMI GHANBAR | RESALATI H. | DOURADO A. | Issue Writer Certificate

Keywords

PULPQ3

STATISTICAL MODELSQ3

TEAR STRENGTHQ2

BURST STRINGTHQ3

NEWSPRINTQ2

CORRELATIONQ3

MULTIPLE REGRESSIONQ3

Abstract

Paper production lines have got many process variables and wide variety of operations. The overall objective in PULP and paper mills is to meet the specified quality and production targets while minimizing operation costs. Today in order to accurate, cheap and fast control of production lines, different kinds of models are being developed. Using real data of CMP tower, stock preparation, and paper machine wet-end variables of MWPI (Mazandaran Wood and Paper Industries) recorded during 2005 and part of 2006, four data set containing 72 process variables corresponding to the NEWSPRINT burst and TEAR STRENGTHs were prepared. The most influential variables and statistical predictive models for NEWSPRINT burst and TEAR STRENGTHs were generated using CORRELATION and MULTIPLE REGRESSION. Several suitable models were developed to predict and control NEWSPRINT burst strength. The most influential variables to the burst strength were the amount of fibers remained on the 48mesh screens, stock pressure in the third group cleaners, output of second fan pump, save-all drainage rate, rush and drug ratio and head box slice opening degree. Process variables showed low CORRELATION to the TEAR STRENGTH and few models were developed. Flow of retention aids, save-all drainage rate and clay ratio were the most effective variables to the NEWSPRINT TEAR STRENGTH.

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APA: Copy

MORADIAN, M.H., EBRAHIMI, GHANBAR, RESALATI, H., & DOURADO, A.. (2008). DEVELOPMENT OF STATISTICAL MODELS FOR PREDICTING BURST AND TEARS STRENGTHS OF NEWSPRINT IN MWPI. IRANIAN JOURNAL OF NATURAL RESOURCES, 61(3), 733-749. SID. https://sid.ir/paper/23192/en

Vancouver: Copy

MORADIAN M.H., EBRAHIMI GHANBAR, RESALATI H., DOURADO A.. DEVELOPMENT OF STATISTICAL MODELS FOR PREDICTING BURST AND TEARS STRENGTHS OF NEWSPRINT IN MWPI. IRANIAN JOURNAL OF NATURAL RESOURCES[Internet]. 2008;61(3):733-749. Available from: https://sid.ir/paper/23192/en

IEEE: Copy

M.H. MORADIAN, GHANBAR EBRAHIMI, H. RESALATI, and A. DOURADO, “DEVELOPMENT OF STATISTICAL MODELS FOR PREDICTING BURST AND TEARS STRENGTHS OF NEWSPRINT IN MWPI,” IRANIAN JOURNAL OF NATURAL RESOURCES, vol. 61, no. 3, pp. 733–749, 2008, [Online]. Available: https://sid.ir/paper/23192/en

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