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Effect of adding rubber powder to poplar particles on composite properties.

Identifieur interne : 002B18 ( Main/Exploration ); précédent : 002B17; suivant : 002B19

Effect of adding rubber powder to poplar particles on composite properties.

Auteurs : Min Xu [République populaire de Chine] ; Jian Li

Source :

RBID : pubmed:22705506

Descripteurs français

English descriptors

Abstract

The effect of adding rubber powder derived from waste tires to poplar wood particles on mechanical and water-resistant properties of particleboards was examined. Sixty panels were made with rubber contents of 0-40% at hot-pressing temperatures of 140-180 °C, methylene diphenyl diisocyanate resin contents of 2-6% and panel densities of 0.6 to 1 g cm(-3). Although the modulus of rupture (MOR), modulus of elasticity (MOE), internal bond (IB) strength were reduced by adding rubber powder, the thickness swelling (TS) was reduced by 7.3-61% when 10-40% rubber powder was added. Four regression equations (rubber content, pressing temperature, resin content and target panel density as functions of MOR, MOE, IB and TS) were developed and a nonlinear programing model was derived with operation research theory to obtain the most desirable panel properties under some production constraints.

DOI: 10.1016/j.biortech.2012.02.041
PubMed: 22705506


Affiliations:


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Le document en format XML

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<div type="abstract" xml:lang="en">The effect of adding rubber powder derived from waste tires to poplar wood particles on mechanical and water-resistant properties of particleboards was examined. Sixty panels were made with rubber contents of 0-40% at hot-pressing temperatures of 140-180 °C, methylene diphenyl diisocyanate resin contents of 2-6% and panel densities of 0.6 to 1 g cm(-3). Although the modulus of rupture (MOR), modulus of elasticity (MOE), internal bond (IB) strength were reduced by adding rubber powder, the thickness swelling (TS) was reduced by 7.3-61% when 10-40% rubber powder was added. Four regression equations (rubber content, pressing temperature, resin content and target panel density as functions of MOR, MOE, IB and TS) were developed and a nonlinear programing model was derived with operation research theory to obtain the most desirable panel properties under some production constraints.</div>
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