Groove Parameter Optimization of Spiral Groove Journal Gas Bearing Based on SA-CFPSO Algorithm
The theoretical dataset of the optimum groove parameters is crucial for the research and design of bearings,as the performance of spiral groove journal gas bearings is highly related to groove parameters.In order to obtain the theoretical dataset of groove parameters with maximum bearing capacity and optimal multi-objective performance,the numerical solu-tion of bearing capacity was obtained by numerical calculation.Taking the bearing capacity as the objective function,the maximum capacity optimization model of gas bearing was developed.The optimization model was solved by hybrid simulated annealing and particle swarm optimization algorithm with a compressibility factor(SA-CFPSO),and the optimum groove parameters of bearings under various aspect ratios and eccentricities were obtained.The accuracy and efficiency of the nu-merical method and optimization algorithm were verified by comparison with the experimental and theoretical data in litera-ture.The optimization results show that the optimal groove length ratio and groove width ratio of bearings are less than 0.5,the optimal groove depth ratio is about 2.7,and the optimal spiral angle is between 0.45 rad to 1 rad.When the compres-sion number is low,compared with the ordinary cylindrical bearing,the effect of surface groove on the bearing capacity is not obvious.When the length diameter ratio or eccentricity of the bearing increases,the change of optimal groove parameters is more obvious.
spiral grooved journal gas bearingmaximum bearing capacitysimulated annealingparticle swarm optimiza-tion algorithm with compressibiity factor
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