Aiming at the influence of journal inclination Angle on water-lubricated bearings, a mechanical model of propulsion shafting bearing load was established by theoretical analysis and numerical simulation to analyze the bearing force. Then a water lubricated bearing model is constructed, and the distribution characteristics and rules of water film pressure are obtained by simulating the inclined water lubricated stern bearing. The change of vertical inclination Angle has no effect on the water film pressure distribution. At low speed, the change of inclination Angle has little influence on the water film pressure, while at high speed, the influence on the water film pressure is obvious. When the pressure reaches the peak, the water film breaks, which makes the bearing contact stress value more concentrated.
Based on the background of freshwater scarcity, desalination technology has been widely applied, and solar interface evaporator is a highly promising strategy for seawater desalination. However, its limited stability and low efficiency have restricted the practical implementation of interfacial evaporation. In this paper, we propose an improved solar evaporator, in which a polyurethane sponge is used as a substrate, and a photo-thermal conversion coating is formed on the sponge through a reaction between iron ions and the abundant polyphenolic materials in tea leaves. The polyurethane sponge, modified by polyphenolic materials. and iron ions, exhibits high hydrophilicity and ensures the efficient transport of water within the evaporator due to its high porosity and permeability. Moreover, the polyphenolic materials, serving as a chelating agent, reacts with iron ions with moderate photo-thermal conversion properties, resulting in a dark photo-thermal conversion coating on the sponge, ensuring efficient photo-thermal conversion throughout the entire evaporator.
In recent years, researchers have been dedicating their efforts to enhancing the ability of solar energy for higher steam generation rates (SSG) in response to freshwater scarcity. However, the importance of the substrate is often overlooked during the search for photo-thermal materials. Therefore, in this study, scientists have developed a new hydrogel matrix composed of Polyvinyl Alcohol (PVA) and Chitosan (CS) for solar steam generation. The prepared PVA/CS/carbon nanotube aerogel composite exhibits high absorbance under 1-sun illumination (1 kW m–2) and achieves a high evaporation rate of 2.41 Kg m–2 h–1.
KEYWORDS: Water quality, Machine learning, Random forests, Solid modeling, Data modeling, Solids, Data conversion, Education and training, Turbidity, Statistical analysis
For areas with limited water resources, seawater desalination is widely used as a solution for water supply, especially in coastal cities. In order to predict the water quality after desalination, this paper proposes a water quality prediction model based on the classification algorithm of random forest. Factors such as pH, hardness, solids and so on are selected and used to build this water quality prediction model. Compared with the prediction accuracy of logistic regression model, the result shows that the water quality prediction model established by random forest classification algorithm has a slightly higher accuracy. Random forest algorithm has the characteristics of high classification accuracy, good practicability, and can effectively monitor water quality.
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