IMPACT OF THERMOMECHANICAL REFINING CONDITIONS ON FIBER QUALITY AND ENERGY CONSUMPTION BY MILL TRIAL

Fiber thermomechanical refining is a critical step for the manufacturing of medium density fiberboard (MDF). To increase productivity and improve fiber quality with a reduction in energy consumption during refining, it is essential to determine appropriate refining conditions, such as the chips rete...

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Main Authors: Jun Hua, Guangwei Chen, Dapeng Xu, , Sheldon Q. Shi
Format: Article
Language:English
Published: North Carolina State University 2012-02-01
Series:BioResources
Subjects:
Online Access:http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_07_2_1919_Hua_CXS_Thermomechanical_Refining_Fiber_Quality_MDF/1470
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author Jun Hua,
Guangwei Chen,
Dapeng Xu
, Sheldon Q. Shi
author_facet Jun Hua,
Guangwei Chen,
Dapeng Xu
, Sheldon Q. Shi
author_sort Jun Hua,
collection DOAJ
description Fiber thermomechanical refining is a critical step for the manufacturing of medium density fiberboard (MDF). To increase productivity and improve fiber quality with a reduction in energy consumption during refining, it is essential to determine appropriate refining conditions, such as the chips retention time (accumulated chip height, CH) in the pre-heater, feeding screw revolution speed (SR) in the chip feeding pipe, and the opening ratio of the discharge valve (OV) in the discharge pipe. Using multiple regression analysis, relationships between the response variables (the total fibers, the specific energy consumption obtained by the motor power consumption/the total amount of dry fibers, and the percentage of qualified fibers) and the predictor variables (OV, CH, and SR) were modeled. Specific energy consumption decreased with an increase in CH. When more chips were stored in the pre-heater, the chips were softened by the extended steam-treatment time, reducing the energy consumption. There were negative relationships between the percentage of qualified fibers and the predictor variables (OV and SR). It was reasoned that a greater proportion of coarse fibre was produced when the discharge valve opening ratio or the feeding screw speed increased. This resulted in a reduction in the percentage of qualified fibers. Due to the large sample size (1667 measurements for each variable) in this study, the resulting regression equations can be applied to estimate the productivity, energy consumption, and fiber quality during refining in an MDF mill.
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spelling doaj.art-4d4d4fd7e3ce490c9383c8df0bb34de52022-12-22T01:38:08ZengNorth Carolina State UniversityBioResources1930-21262012-02-017219191930IMPACT OF THERMOMECHANICAL REFINING CONDITIONS ON FIBER QUALITY AND ENERGY CONSUMPTION BY MILL TRIALJun Hua,Guangwei Chen,Dapeng Xu, Sheldon Q. ShiFiber thermomechanical refining is a critical step for the manufacturing of medium density fiberboard (MDF). To increase productivity and improve fiber quality with a reduction in energy consumption during refining, it is essential to determine appropriate refining conditions, such as the chips retention time (accumulated chip height, CH) in the pre-heater, feeding screw revolution speed (SR) in the chip feeding pipe, and the opening ratio of the discharge valve (OV) in the discharge pipe. Using multiple regression analysis, relationships between the response variables (the total fibers, the specific energy consumption obtained by the motor power consumption/the total amount of dry fibers, and the percentage of qualified fibers) and the predictor variables (OV, CH, and SR) were modeled. Specific energy consumption decreased with an increase in CH. When more chips were stored in the pre-heater, the chips were softened by the extended steam-treatment time, reducing the energy consumption. There were negative relationships between the percentage of qualified fibers and the predictor variables (OV and SR). It was reasoned that a greater proportion of coarse fibre was produced when the discharge valve opening ratio or the feeding screw speed increased. This resulted in a reduction in the percentage of qualified fibers. Due to the large sample size (1667 measurements for each variable) in this study, the resulting regression equations can be applied to estimate the productivity, energy consumption, and fiber quality during refining in an MDF mill.http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_07_2_1919_Hua_CXS_Thermomechanical_Refining_Fiber_Quality_MDF/1470MDFThermomechanical refiningFiber sizeProductivityEnergy consumptionMultiple regression
spellingShingle Jun Hua,
Guangwei Chen,
Dapeng Xu
, Sheldon Q. Shi
IMPACT OF THERMOMECHANICAL REFINING CONDITIONS ON FIBER QUALITY AND ENERGY CONSUMPTION BY MILL TRIAL
BioResources
MDF
Thermomechanical refining
Fiber size
Productivity
Energy consumption
Multiple regression
title IMPACT OF THERMOMECHANICAL REFINING CONDITIONS ON FIBER QUALITY AND ENERGY CONSUMPTION BY MILL TRIAL
title_full IMPACT OF THERMOMECHANICAL REFINING CONDITIONS ON FIBER QUALITY AND ENERGY CONSUMPTION BY MILL TRIAL
title_fullStr IMPACT OF THERMOMECHANICAL REFINING CONDITIONS ON FIBER QUALITY AND ENERGY CONSUMPTION BY MILL TRIAL
title_full_unstemmed IMPACT OF THERMOMECHANICAL REFINING CONDITIONS ON FIBER QUALITY AND ENERGY CONSUMPTION BY MILL TRIAL
title_short IMPACT OF THERMOMECHANICAL REFINING CONDITIONS ON FIBER QUALITY AND ENERGY CONSUMPTION BY MILL TRIAL
title_sort impact of thermomechanical refining conditions on fiber quality and energy consumption by mill trial
topic MDF
Thermomechanical refining
Fiber size
Productivity
Energy consumption
Multiple regression
url http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_07_2_1919_Hua_CXS_Thermomechanical_Refining_Fiber_Quality_MDF/1470
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AT dapengxu impactofthermomechanicalrefiningconditionsonfiberqualityandenergyconsumptionbymilltrial
AT sheldonqshi impactofthermomechanicalrefiningconditionsonfiberqualityandenergyconsumptionbymilltrial