Optimal Design of Conical Hydrostatic Gas Bearings Based on Kriging Model
To enhance the comprehensive performance of conical hydrostatic gas bearings with small orifice throttle,with the optimization objectives of maximizing load capacity and minimizing gas consumption of conical hydrostatic gas bearings for air floating motorized spindles,the constraints of bearing dimensions and operating conditions are considered.The optimal Latin hypercube sampling method is adopted to select design points,and a sample set is calculated using finite element method.The improved Kriging surrogate model for optimization objectives is established by using two point-adding strategies to improve the accuracy.Finally,the optimal solution set is obtained by using non-dominated sorting genetic algorithm.According to requirements of operating conditions,three optimization schemes are proposed using a weight coefficient method.The gas consumption of optimization schemes is reduced to 28.85%,56.08%,and 73.87%of initial design respectively,while the load capacity is increased to 1.14,2.16 and 2.44 times of initial design respectively.The performance improvement at medium to high speeds will be more significant for three optimization schemes.Although increasing the bearing conicity can improve the load capacity,it will also increase the gas consumption.
plain bearinghydrostatic gas bearingload capacitygas consumptionfinite element analysisoptimal design
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