Withdrawal strength and physical properties of three layers hybrid particleboard / Mohd Hanafi Umar

Umar, Mohd Hanafi (2012) Withdrawal strength and physical properties of three layers hybrid particleboard / Mohd Hanafi Umar. [Student Project] (Unpublished)

Abstract

The objectives of this research were to evaluate the nail and screw withdrawal strength and the physical properties of the three-layer hybrid particleboard from Acacia mangium particles and wood sawdust in radial directions. 108 samples were produced in different density panels (500, 600 and 700kg/m3) and different resin contents (8:10:8 & 12:10:12) using Urea Formaldehyde (UF) resin. Based on the results of this study, it was found that when the densities were increased, the nail and screw withdrawal strengths were increased. When the resin content was increased, the nail and screw withdrawal strengths were also increased. The screw withdrawal strength was higher than the nail withdrawal strength. In the physical properties, the thickness and water absorption rates were increased when the densities and resin contents increased.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Umar, Mohd Hanafi
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Sarmin, Siti Noorbaini
UNSPECIFIED
Subjects: T Technology > TS Manufactures > Wood technology. Lumber > Wood products. Furniture
T Technology > TS Manufactures > Engineered wood. Fiberboard, particle board, etc.
T Technology > TS Manufactures > Wood technology. Lumber > Chemical processing of wood
Divisions: Universiti Teknologi MARA, Pahang > Jengka Campus > Faculty of Applied Sciences
Programme: Bachelor of Science (Hons.) Furniture Technology
Keywords: Particleboard, Acacia mangium, wood
Date: 2012
URI: https://ir.uitm.edu.my/id/eprint/76623
Edit Item
Edit Item

Download

[thumbnail of 76623.PDF] Text
76623.PDF

Download (972kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:
On Shelf

ID Number

76623

Indexing

Statistic

Statistic details