Two-dimensional discrete wavelet transform for tracking cracks in wood composites reinforced with nanoparticles

The impossibility of recycling and the high price characteristics have always been two main challenges for developing polymer composites. However, wood composites are suitable structures in the composite industry. The wood composites can be quickly returned to nature. In addition, wood composites have a much lower price. In contrast, polymeric composites remain in the environment after their life because they cannot be decomposed into organic materials by bacteria. This problem persists even with burning the composite matrix because the burning process only returns the polymer part of the composite structure to nature, and the glass fibers remain unchanged by heating. In order to overcome these disadvantages, wood composites have been developed. In this paper, to strengthen our wood composite, the adhesive mixed with nanoparticles is added to it. Also, it is assumed that after a collision of our wood composite with other objects, wood composite reinforced with nanoparticles may crack in the adhesive regions. This study proposes the application of the two-dimensional discrete wavelet transform for tracking the cracks in wood composites reinforced with nanoparticles. Findings demonstrate that when using the two-dimensional discrete wavelet for images including cracks with many details of discrete disturbance, the approximation signal obtained from the two-dimensional discrete wavelet can play a critical role in crack detection. Also, findings show that detail signals are efficient tools for de-noising images.

کلیدواژه ها:

Wood composites ، damage detection in wood composites ، adhesive mixed with nanoparticles ، wavelet transform