Within-process and seasonal changes during industrial production of high-density fibreboard. Part 2: PLS modelling of chemical alterations, refining conditions and panel thickness swell

Abstract Wood species, carbohydrate composition and the content of extractives were determined from extracted wood chips and refiner fibres over 1 year of sampling at an industrial high-density fibreboard (HDF) plant. Correlations were found among processing variables (discharge screw flow, digester and refiner pressure, and refiner power consumption) and the analysed composition of raw materials and semi-finished product based on partial least squares regression (PLSR) analysis. Moreover, correlations between the degree of hemicellulose degradation and process variables were found. Panel thickness swell (PTS) was found to be affected by several raw and fibre material characteristics (based on PLSR), in which PTS was lower in the case of good fibre quality. These results demonstrate the potential impact of variable raw material properties on product properties and processing conditions in an industrial environment.

[1]  S. Y. Zhang,et al.  Medium-density fiberboard performance as affected by wood fiber acidity, bulk density, and size distribution , 2006, Wood Science and Technology.

[2]  Leslie H. Groom,et al.  Changes in the Chemical Composition and Spectroscopy of Loblolly Pine Medium Density Fiberboard Furnish as a Function of age and Refining Pressure , 2005 .

[3]  E. Roffael,et al.  Thermomechanical (TMP) and Chemo-Thermomechanical Pulps (CTMP) for Medium Density Fibreboards (MDF) , 2001 .

[4]  Timothy M. Young,et al.  Predictive modeling the internal bond of medium density fiberboard using a modified principal component analysis , 2008 .

[5]  M. Gulliksson,et al.  On the energy consumption for crack development in fibre wall in disc refining – A micromechanical approach , 2009 .

[6]  G. Bernardy,et al.  Prozessmodellierung führt zur Online-Qualitätskontrolle und Prozessoptimierung bei der Span- und Faserplattenproduktion , 1997, Holz als Roh- und Werkstoff.

[7]  D. Fengel,et al.  Wood: Chemistry, Ultrastructure, Reactions , 1983 .

[8]  Alain Cloutier,et al.  Properties of MDF from black spruce tops as affected by thermomechanical refining conditions , 2006, Holz als Roh- und Werkstoff.

[9]  Zhiyong Cai,et al.  Effect of oxalic acid pretreatment of wood chips on manufacturing medium-density fiberboard , 2011 .

[10]  S. Wold,et al.  PLS-regression: a basic tool of chemometrics , 2001 .

[11]  B. Riedl,et al.  Multivariate modeling of MDF panel properties in relation to wood fiber characteristics , 2006 .

[12]  W. Kenealy,et al.  Vapor-phase diethyl oxalate pretreatment of wood chips: Part 1. Energy savings and improved pulps , 2007 .

[13]  Jörg Hasener,et al.  Statistische Methoden der industriellen Prozessmodellierung zur Echtzeitqualitätskontrolle am Beispiel einer kontinuierlichen Produktion von Faserplatten , 2005 .

[14]  E. Dolezel-Horwath,et al.  Feedback and feedforward control of wet-processed hardboard production using spectroscopy and chemometric modelling , 2005 .

[15]  Timothy M. Young,et al.  A comparison of multiple linear regression and quantile regression for modeling the internal bond of medium density fiberboard , 2008 .

[16]  Leslie H. Groom,et al.  NEAR INFRARED SPECTROSCOPY IN THE FOREST PRODUCTS INDUSTRY , 2004 .

[17]  Timothy M. Young,et al.  Prediction of internal bond strength in a medium density fiberboard process using multivariate statistical methods and variable selection , 2008, Wood Science and Technology.

[18]  R. Wimmer,et al.  Within-process and seasonal changes during industrial production of high-density fibreboard. Part 1: Influence of wood species composition on polyoses in the products , 2012 .

[19]  P. Hart,et al.  Selective enzyme impregnation of chips to reduce specific refining energy in alkaline peroxide mechanical pulping , 2009 .