Robust Optimization of Gear Tooth Modifications Using a Genetic Algorithm

Abstract : Most studies in gear design analysis and optimization do not account for the presence of uncertainties inherent to the manufacturing and assembly precisions. In this paper, the issue of robustness of gear modifications with regard to transmission error fluctuations is addressed. An approach based on numerical integration (Gauss Quadrature) is adopted and a statistical optimization based on a genetic algorithm is used to determine the robust areas for tooth modifications. Finally, the influences of the gear quality grade and the probability law are analysed.
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Communication dans un congrès
Springer. CONDITION MONITORING OF MACHINERY IN NON-STATIONARY OPERATIONS 2012, Mar 2012, Hammamet, Tunisia. Part 5, p. 589-597, 2012, <10.1007/978-3-642-28768-8_61>
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https://hal.archives-ouvertes.fr/hal-00706620
Contributeur : Dhafer Ghribi <>
Soumis le : lundi 11 juin 2012 - 11:03:16
Dernière modification le : lundi 13 octobre 2014 - 15:43:25

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Dhafer Ghribi, Jérôme Bruyère, Philippe Velex, Michel Octrue, Mohamed Haddar. Robust Optimization of Gear Tooth Modifications Using a Genetic Algorithm. Springer. CONDITION MONITORING OF MACHINERY IN NON-STATIONARY OPERATIONS 2012, Mar 2012, Hammamet, Tunisia. Part 5, p. 589-597, 2012, <10.1007/978-3-642-28768-8_61>. <hal-00706620>

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