Wood species identification using stress-wave analysis in the audible range

Rojas, J.A.M.^a , Alpuente, J.^a, Postigo, D.^a, Rojas, I.M.^b, Vignote, S.^b  

^a  Department of Signal Theory and Communications, Universidad de Alcalá, Campus Universitario, Ctra. de Madrid-Barcelona, km 33.600, 28805 Alcalá de Henares, Spain
^b  Department of Forest Economy and Management, E.T.S.I. de Montes, Universidad Politécnica de Madrid, Ciudad Universitaria s/n, 28040 Madrid, Spain

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Abstract

Stress-wave analysis is a powerful and flexible technique to study mechanical properties of many materials. We present a simple technique to obtain information about the species of wood samples using stress-wave sounds in the audible range generated by collision with a small pendulum. Stress-wave analysis has been used for flaw detection and quality control for decades, but its use for material identification and classification is less cited in the literature. Accurate wood species identification is a time consuming task for highly trained human experts. For this reason, the development of cost effective techniques for automatic wood classification is a desirable goal. Our proposed approach is fully non-invasive and non-destructive, reducing significantly the cost and complexity of the identification and classification process. © 2011 Elsevier Ltd. All rights reserved.

Author keywords

Audio-frequency; Non-destructive testing; Stress-wave analysis

Indexed Keywords

Audio-frequency; Classification process; Cost effective; Flaw detection; Human expert; Material identification; Non destructive; Non-destructive testing; Non-invasive; Species identification; Stress-wave analysis; Time-consuming tasks; Wood samples

Engineering controlled terms: Materials properties; Mechanical properties; Nondestructive examination; Stresses; Wood

Engineering main heading: Quality control

PaperChem Variable: Classification; Mechanical Properties; Quality Control; Stresses; Wood

ISSN: 0003682X CODEN: AACOBSource Type: Journal Original language: English

DOI: 10.1016/j.apacoust.2011.05.016Document Type: Article

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