An Assessment on Wood Properties of Lesser - Known Timber Species in Sri Lanka
Keywords:
Density, Lesser-known timber species, Mechanical properties, Timber classificationAbstract
Faced with escalating global deforestation, including alarming rates in Sri Lanka, researchers explored the timber is an important and versatile raw material. However, the mechanical properties of locally available lesser-known timber species have not been studied yet thus they have not been included into any timber classification system. The existing timber classification system of the State Timber Corporation was based on demand, availability and previous experience of workability, where mechanical properties have not been considered. The omission of lesser-known timber species in the existing timber classification system has denied their optimum utilization in timber industry. The present study was conducted with twenty lesser-known timber species in Sri Lanka to develop a classification system based on mechanical properties: Wood density, Modulus of Rupture (MOR), Modulus of Elasticity (MOE), Compression parallel to grain (CPN). A Universal Testing Machine (UTM 100PC) was employed to assess the mechanical properties of the of the selected timber species. Positive linear relationships between density and CPN, MOR and MOE were observed. Selected lesser-known timber species were then classified according to mechanical properties and a new timber was developed

