The results indicate that the developed ANN model could predict the bonding strength well with an acceptable error. It became clear that the prediction errors were in an acceptable range. The ANN results agreed well with the experimental results.
The experimental results show that the maximum bonding strength values were obtained when the WR was at the middle level (50%), nano-zinc oxide content was at a maximum (4%), and press temperature and press time were fixed at 200 ☌ and 22 min, respectively. To describe the results, FTIR and TGA tests were also conducted. Then, a model was developed to predict bonding strength using the artificial neural network (ANN) technique. According to that, the glulam specimens were fabricated, the bonding strength of specimens was measured, and the results were statistically analyzed. As a part of the research, an experimental design was determined. Bonding strength was measured at different weight ratios containing different values of nano-zinc oxide as an additive under different conditions of press temperature and press time. Finally, four consecutive photocatalytic UF cycles demonstrated the stability of the membrane for a fouling-free UF process.The purpose of this study was to present an application of the artificial neural network (ANN) that predicts the bonding strength of glulam manufactured from plane tree ( Platanus orientalis L.) wood layers adhered with a combination of modified starch adhesive and UF resin. The results showed that an increase in temperature did not affect the photocatalytic process, but increased the permeate flux, which was attributed to the decrease in kinematic viscosity of the water. UF4 chemical notation for uranium tetrafluoride, used in some nuclear reactors. The impact of temperature, an important factor for increasing the kinetic rate of the photocatalyst, was also studied. Endnote 234 - Excerpts From Orins Interview With Moment. The membrane, with an optimized distribution of TiO 2 NPs (3.04 g m −2), could completely regenerate itself during photocatalytic UF without experiencing membrane fouling during 90 min of filtration. The photocatalytic process was initiated after UV light reached the TiO 2 NPs through a quartz window in the membrane containing cell.
The combination of photocatalysis and UF, namely, photocatalytic UF, induced the surface auto-regeneration potential to the membrane. In this study, an ultrafiltration (UF) membrane was developed with surface auto-regeneration potential by immobilizing a photocatalyst on a hybrid polyvinylidene fluoride (PVDF) membrane to reduce fouling. Membrane fouling is a serious concern that significantly affects the membrane filtration process.
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