The determination of mechanical performance and digital image analysis of furniture joints constructed with polyvinyl acetate (PVAc) adhesive reinforced with nanoparticle
2016
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Danışman: Prof. Dr. Ali Naci Tankut
Özet (EN)
In this study, various nanoparticles (SiO2, TiO2) were mixed in a specific ratio (1%, 2%, 4%) to polyvinyl acetate adhesive. The effects of the nanoparticle type and rate on nanoparticles reinforced adhesives of bonding performance were investigated. Determination of particle dispersion and adhesive structure will be analyzed by Transmission Electron Microscopy (TEM). Besides, X-Ray Diffraction (XRD) Analyses will be done. Then the mechanical properties of furniture joints of Beech (Fagus orientalis L) wood, Oak (Quercus robur) wood, and laminated wood materials bonded with nanoparticle filled PVAc manufactured, evaluated and the deformation analysis of the joints were conducted with helping image analysis. According to nanoparticles filled PVAc performance results, the low loading of nanoparticle (%1, %2) to PVAc matrix increased the bonding performance. At the same time, XRD and TEM results proofed more homogenously dispersed in the low loadings (%1,%2) of the nanoparticles. According to test results done to determine the effect of nanoparticle type, nanoparticle rate and material type on the bending strength, tension strength, and fatigue strength of the furniture joints, the maximum values were obtained in the joints of Beech and Oak prepared with low loading of SiO2 and TiO2 nanoparticles. In the deformation analysis, the measurements were conducted with image analysis were found to be similar to the results obtained with the clasical methods. As a result, nanoparticles can be used to improve the PVAc adhesives and the reinforcement of the furniture joints.
Yazar
Dr. Timuçin Bardak
Bu Yayına Nasıl Atıf Yapılır
Timuçin Bardak (Doctorate thesis). The determination of mechanical performance and digital image analysis of furniture joints constructed with polyvinyl acetate (PVAc) adhesive reinforced with nanoparticle, 2016, Bartın University.
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