Dinizia excelsa Ducke under three different cut conditions were carefully analyzed. The morphology and stereometry of different wood cutting surfaces (longitudinal radial, longitudinal tangential, and transversal) were studied by SEM and AFM. The results obtained in this study suggest that both the height parameters and the advanced stereometric parameters of the surfaces did not reveal a significant difference, indicating that the spatial patterns do not change according to the type of cut. In this way, the surface microtexture does not vary depending on the cut type. Similarly, the Hurst's coefficients did not show any significant difference in the spectrum of the PSD fractal region. On the other hand, Minkowski functionals presented a morphological difference between the samples. These results showed that the microtexture of the wood surface does not change as a function of the type of cut submitted to the same polishing process.
Measurement techniques of nanoscale parameters have been vastly explored nowadays. In systems such as wood that possess anisotropic surfaces, these techniques provide reliable data on the surface morphology and related parameters. The atomic force microscope (AFM) and optical microscope were used to investigate the roughness and surface morphology of Dinizia excelsa. Cuts were made in different directions generating three distinct surfaces: radial, tangential and transverse. The samples went through a sanding process to reveal the original morphology of the steering. Both techniques show that the surface texture is different according to the analysed surface. The lowest roughness was observed on the transverse plane while the highest occurred on the radial. The comparison of the morphology evaluation by the two techniques allowed us to see that the AFM technique revealed the most sensitive images in smaller scales. These results confirmed that the AFM can provide satisfactory results for the surface parameters of Dinizia excelsa depending on the cut direction. This type of analysis can be useful in laboratory species identification processes and in deforestation inspection processes in the Amazon
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