Modeling and prediction of density distribution and microstructure in particleboards from acoustic properties by correlation of non-contact high-resolution pulsed air-coupled ultrasound and X-ray images.

摘要: Abstract Non-destructive density and microstructure quality control testing in particleboards (PBs) is necessary production lines. A pulsed air-coupled ultrasound (ACU) high-resolution normal transmission system, together with a first wave tracking algorithm, were developed to image amplitude Gp velocity cp distributions at 120 kHz for PBs of specific nominal densities five particle geometries, which then correlated X-ray in-plane images ρs. Test homogeneous vertical profile manufactured laboratory environment conditioned standard climate (T = 20 °C, RH = 65%) before the measurements. Continuous trends (R2 > 0.97) obtained by matching lateral resolution ACU sound field radius ( σ w o = 21 mm ) clustering scatter plots. ρs ↦ cp was described three-parameter non-linear model each geometry, allowing prediction 3% uncertainty PB according EN312. ρs ↦ Gp modeled calculating coupling gain fitting inverse power laws offset ρs material attenuation, scaled volume. variations frequency examined, showing thickness resonances scattering attenuation. The combination data enabled successful geometry classification. observed interpreted terms multi-scale porosity grain finite-difference time-domain simulations, arbitrarily complex stiffness distributions. proposed method allows non-contact determination relations between acoustic properties distribution plate materials. In future work, commercial non-uniform profiles should be investigated.