In this paper, a rectangular aerostatic bearing with multiple supply holes is optimised with a multiobjective optimisation approach. The design variables taken into account are the supply holes position, their number and diameter, the supply pressure, while the objective functions are the load capacity, the air consumption and the stiffness and damping coefficients. A genetic algorithm is applied in order to find the Pareto set of solutions. The novelty with respect to other optimisations which can be found in literature is that number and location of the supply holes is completely free and not associated to a pre-defined scheme. A vector x associated with the supply holes location is introduced in the design parameters and given in input to the optimizer.

本文采用多目标优化方法对带有多个供气孔的矩形空气静压轴承进行了优化。考虑的设计变量是进气孔的位置，数量和直径，进气压力，而目标函数是负载能力，空气消耗以及刚度和阻尼系数。应用遗传算法以找到解的帕累托集。在文献中可以发现的关于其他优化的新颖之处在于，供给孔的数量和位置是完全自由的，并且与预定方案无关。与供应孔位置相关的向量x被引入设计参数中，并在优化器的输入中给出。