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Methodology for the assessment of the friction torque of ball slewing bearings considering preload scatter

Friction 2024年第8期12卷 1838-1857页

作者： Iñigo ESCANCIANO Iker HERAS Florian SCHLEICH josu aguirrebeitia Department of Mechanical Engineering University of the Basque CountryBilbao 48080Spain Fraunhofer-Institute for Wind Energy Systems IWES Hamburg 27572Germany

This manuscript presents an innovative methodology for the assessment of the friction torque of ball slewing *** methodology aims to overcome the limitations of state-of-the-art approaches,especially when the friction torque is conditioned by the preload of the *** this end,the authors propose to simulate the preload scatter when solving the load distribution problem,prior to the friction torque *** preload scatter allows to simulate a progressive transition of the balls from a four-point contact state to a two-point contact *** implementing this capability into an analytical model,the authors achieve a successful correlation with experimental ***,depending on the stiffness of the structures to which the bearing is assembled,it is demonstrated that the rigid ring assumption can lead to inaccurate friction torque results when a tilting moment is *** methodology described in this research work is meant to have a practical ***,the manuscript provides guidelines about how to use and tune the analytical model to get a reliable friction torque prediction tool.

关键词： slewing bearing ball bearing friction torque preload scatter

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A modified Genetic algorithm suitable for non stationary functions.

A modified Genetic algorithm suitable for non stationary fun...

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The Fourth World Congress of Structural and Multidisciplinary Optimization

＜正＞The work presented in this article is structured in three parts, focusing its attention on the reduction of the execution time required by the GA to accomplish the evolutive process when the error function is very complex. In order to do it, several strategies will be presented and studied. In the first one, a theoretical approach to determine optimal population size and the construction of an approximated and stepped evaluation function is presented. In the second one OMEGA （Oriented to Mechanical Engineering Genetic Algorithm） is presented, a modified GA which includes the use of models with different degrees of complexity and a dynamic mutation operator whose purpose is to substantially reduce the number of evaluations of the complete error function. This program has been developed based on David Levine’ s PGAPack library /26/. In the third part of the work, results obtained by OMEGA in a practical optimisation problem （an error function used in the synthesis of multibody systems /1/, /2/, /3/, /4/, /5/） will be presented.

关键词： Genetic Algorithms Numerical Optimisation Non Stationary Mediums Variable Complexity Functions Adaptive Mutation.

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