Estimation of density, moisture content and strength properties of Tectona grandis wood using Near Infrared Spectroscopy

Shri Ram Shukla,Suman Kumar Sharma

doi:10.4067/s0718-221x2021000100418

Abstract

Near infrared spectroscopy is non-invasive and may be applied as a rapid and cost effective technique for assessment of quality parameters of timber. Near infrared spectra of Tectona grandis (teak) wood samples of were collected before measuring physical (density, equilibrium moisture content) and strength (flexural and compressive) properties using conventional methods. Partial least squares regression was used to develop calibration models between measured wood properties and near infrared data. The best near infrared spectra pre-processing methods differed by property. Linear calibration models with high R², low error and high ratio of performance to deviation values were observed from partial least squares analysis for different wood properties. These linear models may be applied for rapid and precise estimation of the properties examined in testing and evaluation procedures for commercially valuable teak wood

Highlights

The original impetus for research in non-destructive testing and evaluation (NDT&E) of wood is to provide methodologies for assessing quality parameters so that more accurate decisions can be made about rational utilization of this resource
The aim of the present study was to develop the calibration models based on near infrared spectroscopy (NIRS) data for rapid and precise estimation of various important wood quality parameters of teak such as density, moisture content and strength properties
The coefficient of variation was 7,77 % and density values ranged from 525,89 kg/m3 to 805,20 kg/m3

Summary

Introduction

The original impetus for research in non-destructive testing and evaluation (NDT&E) of wood is to provide methodologies for assessing quality parameters so that more accurate decisions can be made about rational utilization of this resource. Near infrared spectroscopy (NIRS) has become more common in many sectors as it meets the criteria of being rapid, accurate, reliable, non-destructive and inexpensive (Burns and Ciurczak 2007). It has gained wide acceptance within many industries such as pulp and paper, pharmaceutical, food etc. Bailleres and Durand (2000) evaluated the wood quality of plantation-grown teak (Tectona grandis) using several non-destructive techniques. NIRS in association with multivariate analysis techniques were used to predict various wood quality parameters (Kelley et al 2004, Mora and Schimleck 2009, Schimleck and Evans 2002, Schimleck et al 2001, Tsuchikawa et al 2005). Bailleres and Durand (2000) evaluated the wood quality of plantation-grown teak (Tectona grandis) using several non-destructive techniques. Naimeke et al (2014) reported rapid prediction of phenolic compounds as chemical markers for the natural durability of teak heartwood by near infrared spectroscopy. Kokutse et al (2010) estimated the Received: 29.03.2020 Accepted: 18.11.2020 1

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