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Multi-Objective Optimisation of an Aerostatic Pad: Design of Position, Number and Diameter of the Supply Holes

Published online by Cambridge University Press:  13 January 2020

F. Colombo*
Affiliation:
Department of Mechanical and Aerospace Engineering, Politecnico di Torino Torino, Italy
F. Della Santa
Affiliation:
Department of Mathematical Sciences Politecnico di Torino Torino, Italy SmartData@PoliTO Politecnico di Torino Torino, Italy
S. Pieraccini
Affiliation:
Department of Mechanical and Aerospace Engineering Politecnico di Torino Torino, Italy Member of the INdAM research group GNCS
*
*Corresponding author (federico.colombo@polito.it)
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Abstract

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.

Type
Research Article
Copyright
Copyright © 2020 The Society of Theoretical and Applied Mechanics

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