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Doping of titania nanotubes is one of the efficient way to obtain improved physical and chemical properties. Through electrochemical anodization and annealing treatment, Ni-doped TiO2 nanotube arrays were fabricated and their hydrogen sensing performance was investigated. The nanotube sensor demonstrated a good sensitivity for wide-range detection of both(More)
In order to understand the relationship between discharge plasma parameters and material surface properties, neural networks model were constructed. The sample data are yielded from many experiments for polypropylene surface modification. The experiments were arranged according to uniform design method and conducted in home-made dielectric barrier discharge(More)
Welding robots application can greatly enhance the production efficiency. And effective welding robot path planning is important for improving the efficiency of welding robot. Due to its simplicity, high search accuracy and fast convergence rate, the particle swarm optimization (PSO) algorithm was used to study welding robot in this paper. A novel hybrid(More)
Atmospheric pressure dielectric barrier discharge is widely used for surface modification of polymers. In this paper, the effect of discharge energy density on wettability and oxygen atomic percentage of polypropylene surface is investigated. Contact angle measurement, atomic force microscopy and X-ray photoelectron spectroscopy are applied to analyze the(More)
Real-time measuring the C<sub>3</sub> concentration is important for the process of fluid catalytic cracking unit (FCCU), but it's difficult to measure it directly, so soft-sensing method is applied to solve this question. The neural network model based on PCA-RBF and chaos-RBF neural network model are established, and the simulation results are analyzed(More)
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