Wood species identification using stress-wave analysis in the audible range |
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Authors: | J.A.M. Rojas J. Alpuente D. Postigo I.M. Rojas S. Vignote |
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Affiliation: | aDepartment of Signal Theory and Communications, Universidad de Alcalá, Escuela Politécnica Superior, Campus Universitario, Ctra. de Madrid-Barcelona, km 33.600, 28805 Alcalá de Henares, Spain;bDepartment 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. |
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Keywords: | Audio-frequency Stress-wave analysis Non-destructive testing |
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