The rate of reaction between a horizontal, submerged gas jet and a liquid has been measured in a model system under conditions where mass transfer in the gas phase is rate limiting. The gas was 1 pct SO2 in air, and t...
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The rate of reaction between a horizontal, submerged gas jet and a liquid has been measured in a model system under conditions where mass transfer in the gas phase is rate limiting. The gas was 1 pct SO2 in air, and the liquid was a 0.3 pct solution of hydrogen peroxide in water. SO2 absorption rates were measured as a function of jet Reynolds number (10,000 < NRe < 40,000) and jet orifice diameter (0.238 < d0 < 0.476 cm). The product of the gas phase mass transfer coefficient and the interfacial area per unit length of jet trajectory, kSO2 α was found to increase linearly with increasing Reynolds number and to be a strong function of the orifice diameter. The ratio of kso2 α to volumetric gas flow rate was shown to be independent of Reynolds number for a given orifice diameter. Extrapolated values of kso2 α are lower than the coefficients measured for vertical CO jets blown upward through liquid copper. Extrapolation of the measured mass transfer data to the jet conditions in copper matte converting and in the gaseous deoxidation of copper has indicated that the gas utilization efficiencies in these processes should approach 100 pct if gas phase mass transport is rate controlling.
The introduction of intelligent search algorithms provides an excellent solution to the global and local path planning problems of UAVs. The most classic and representative is Particle Swarm Optimization (PSO). Howeve...
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ISBN:
(纸本)9798350386783;9798350386776
The introduction of intelligent search algorithms provides an excellent solution to the global and local path planning problems of UAVs. The most classic and representative is Particle Swarm Optimization (PSO). However, when applying PSO algorithm to UAV path planning, it is easy to be constrained by factors such as environmental changes and fail to achieve the expected results. In order to solve the communication delay and communication reliability problems in wireless communication, a path planning study under successive control of UAVs is proposed. In this study, the defects of PSO algorithm and the problems in UAV path planning are improved. The improved algorithm introduces the adaptive weight into the update mechanism, and combines the Levy flight strategy to improve the global search strategy to reduce the impact of environmental changes on the algorithm update, so as to ensure the optimal solution. It can be seen from the simulation results that the improved PSO algorithm has achieved significant improvement in data update accuracy, local and overall search capabilities. Compared with genetic algorithm, grey wolf optimization algorithm and PSO algorithm, the improved PSO algorithm has obvious advantages such as fast planning speed and short planning path.
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