Product quality classification using X ray tomography

Jeremy Jover (1) , Benjamin Almecija (1) , Vincent Bombardier (1) , André Thomas (1) , Patrick Charpentier (1)

1 CRAN - Centre de Recherche en Automatique de Nancy

This study suggests two approaches in order to define wood product quality in upstream production flow. Both approaches use X ray tomographic information about round timber (raw material). The first one is a "log approach" based on volumetric information. It correlates a log quality with a given product quality. The second one is a "product approach" and is an extension of the first one. It is based on virtual product surface information obtained from images of round timber and its virtual sawing. Both suggested approaches allow having a better knowledge of round timber and so to define more accurately future made product quality. As results, this better product quality estimation reduces real end product downgrading. New downgrading rates are estimated to 5% with the first approach and 1% with the second whereas the actual real rate is from 15 to 20% in sawmills. This better estimation improves all decisions and production flows.

Domaines: Ingénierie assistée par ordinateur

Jeremy Jover, Benjamin Almecija, Vincent Bombardier, André Thomas, Patrick Charpentier. Product quality classification using X ray tomography. International Conference IUFRO, MeMoWood - Measurement methods and Modeling approaches for predicting desirable futures Wood properties, Oct 2013, Nancy, France. ⟨hal-00921946⟩