THE USAGE OF REGRESSION MODELS FOR PREDICTION OF THE EFFECTS OF WOOD SPECIES DENSITY AND BOARD DENSITY ON ONE LAYERED PARTICLEBOARD PROPERTIES

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ENAYATI ALI AKBAR; ESLAH FARNAZ; FARHID ELHAM

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Journal: Journal of Forest and Wood Products Year:2014 | Volume:66 | Issue:4 Page(s): 467-476

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Title

THE USAGE OF REGRESSION MODELS FOR PREDICTION OF THE EFFECTS OF WOOD SPECIES DENSITY AND BOARD DENSITY ON ONE LAYERED PARTICLEBOARD PROPERTIES

Author(s)

ENAYATI ALI AKBAR | ESLAH FARNAZ | FARHID ELHAM | Issue Writer Certificate

Keywords

BOARD DENSITYQ3

COUNTER PLOTSQ2

ONE LAYERED PARTICLEBOARDQ2

REGRESSION MODELQ3

WOOD SPECIES DENSITYQ2

Abstract

In order to investigation possibility of predicting particleboard properties based on wood density and BOARD DENSITY by REGRESSION MODELs, this study was carried out. Regarding two variables: wood dry density (460, 630 and 790 Kg/m3) and BOARD DENSITY (520, 620 and 720 Kg/m3) one layer particleboards were made. Board properties such as MOR, MOE, shear strength, water absorption and thickness swelling (after 24h immersion) were measured. Stepwise multivariate REGRESSION MODELs were used to evaluate the effect of the above variables on board properties and to determine the most effective parameter. Equations indicated that both two factors affected the models of MOR, shear strength, WA and TS based on the degree of their importance. The effect of the variables on MOE was not significant. Results from minitab contour plots revealed that increase in BOARD DENSITY caused to improvement mechanical properties. Regarding the shortage of initial wood resources, it is possible to making particleboards with density of 520 - 620 kg/m with mechanical properties within those required by corresponding EN standard. TS values were higher than requirements. Panels required additional treatments such as using amount of water resistant materials.

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APA: Copy

ENAYATI, ALI AKBAR, ESLAH, FARNAZ, & FARHID, ELHAM. (2014). THE USAGE OF REGRESSION MODELS FOR PREDICTION OF THE EFFECTS OF WOOD SPECIES DENSITY AND BOARD DENSITY ON ONE LAYERED PARTICLEBOARD PROPERTIES. JOURNAL OF FOREST AND WOOD PRODUCTS (JFWP) (IRANIAN JOURNAL OF NATURAL RESOURCES), 66(4), 467-476. SID. https://sid.ir/paper/162987/en

Vancouver: Copy

ENAYATI ALI AKBAR, ESLAH FARNAZ, FARHID ELHAM. THE USAGE OF REGRESSION MODELS FOR PREDICTION OF THE EFFECTS OF WOOD SPECIES DENSITY AND BOARD DENSITY ON ONE LAYERED PARTICLEBOARD PROPERTIES. JOURNAL OF FOREST AND WOOD PRODUCTS (JFWP) (IRANIAN JOURNAL OF NATURAL RESOURCES)[Internet]. 2014;66(4):467-476. Available from: https://sid.ir/paper/162987/en

IEEE: Copy

ALI AKBAR ENAYATI, FARNAZ ESLAH, and ELHAM FARHID, “THE USAGE OF REGRESSION MODELS FOR PREDICTION OF THE EFFECTS OF WOOD SPECIES DENSITY AND BOARD DENSITY ON ONE LAYERED PARTICLEBOARD PROPERTIES,” JOURNAL OF FOREST AND WOOD PRODUCTS (JFWP) (IRANIAN JOURNAL OF NATURAL RESOURCES), vol. 66, no. 4, pp. 467–476, 2014, [Online]. Available: https://sid.ir/paper/162987/en

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