Wood has been widely used as a building and interior furniture decoration material due to its excellent insulation of heat and electricity, strong buffer effect on vibration, high strength, etc. Generally, wood materials should be processed by pyrolysis technique in order to improve corrosion resistance, flame retardancy, and dimensional stability. However, during pyrolysis, the main components of wood, such as cellulose, hemicellulose, and lignin, undergo chemical reactions causing the damage of the internal structure. With existing non-destructive evaluation methods, such as thermography and radiography, it is difficult to detect the degree of delamination within the wood due to its anisotropy physical properties and complex internal structure. In this work, a novel normalized time-domain integration method is proposed to detect the delamination of wood materials at different pyrolysis temperatures. The experimental results show the great robustness and detection efficiency of this method. Furthermore, numerical simulation and experiments are used to build the relationship between the terahertz time-domain signal and water content. Compared with spruce and oak, meranti is more resistant to pyrolysis and has higher structural stability.

Characterization of water content and inspection of delamination in spruce, oak and meranti woods after pyrolysis processing using a new terahertz time-domain spectroscopy method

Sfarra, S;
2023-01-01

Abstract

Wood has been widely used as a building and interior furniture decoration material due to its excellent insulation of heat and electricity, strong buffer effect on vibration, high strength, etc. Generally, wood materials should be processed by pyrolysis technique in order to improve corrosion resistance, flame retardancy, and dimensional stability. However, during pyrolysis, the main components of wood, such as cellulose, hemicellulose, and lignin, undergo chemical reactions causing the damage of the internal structure. With existing non-destructive evaluation methods, such as thermography and radiography, it is difficult to detect the degree of delamination within the wood due to its anisotropy physical properties and complex internal structure. In this work, a novel normalized time-domain integration method is proposed to detect the delamination of wood materials at different pyrolysis temperatures. The experimental results show the great robustness and detection efficiency of this method. Furthermore, numerical simulation and experiments are used to build the relationship between the terahertz time-domain signal and water content. Compared with spruce and oak, meranti is more resistant to pyrolysis and has higher structural stability.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/219583
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