This study investigates the effect of tooth profile modification on the vibrations of a single stage spur planetary gearbox. A lumped mass nonlinear dynamic model of the gearbox is used [1] to study the effect of tooth profile modifications applied on the sun-planet and ring-planet meshes on vibration behavior. In order to avoid modification on ring gear, both tip and root reliefs are considered for sun and planet wheels. The static model for planetary gear system with tooth profile modification is validated through comparisons with a static finite element analysis of the whole system, performed using commercial software. In the present study, an optimization approach based on Genetic Algorithms (GA) is proposed to improve planetary gear dynamic performances toward vibration reduction. As proven by dynamic analyses, a genetic algorithm is an effective optimization tool to design reliable profile modifications for reducing the planetary gears vibration amplitude over a wide frequency range.

Optimization of planetary gearboxes / Masoumi, A.; Barbieri, M.; Pellicano, F.. - 5:(2017), pp. 916-930. (Intervento presentato al convegno 23rd Conference of the Italian Association of Theoretical and Applied Mechanics, AIMETA 2017 tenutosi a ita nel 2017).

Optimization of planetary gearboxes

Masoumi A.;Barbieri M.;Pellicano F.
2017

Abstract

This study investigates the effect of tooth profile modification on the vibrations of a single stage spur planetary gearbox. A lumped mass nonlinear dynamic model of the gearbox is used [1] to study the effect of tooth profile modifications applied on the sun-planet and ring-planet meshes on vibration behavior. In order to avoid modification on ring gear, both tip and root reliefs are considered for sun and planet wheels. The static model for planetary gear system with tooth profile modification is validated through comparisons with a static finite element analysis of the whole system, performed using commercial software. In the present study, an optimization approach based on Genetic Algorithms (GA) is proposed to improve planetary gear dynamic performances toward vibration reduction. As proven by dynamic analyses, a genetic algorithm is an effective optimization tool to design reliable profile modifications for reducing the planetary gears vibration amplitude over a wide frequency range.
2017
23rd Conference of the Italian Association of Theoretical and Applied Mechanics, AIMETA 2017
ita
2017
5
916
930
Masoumi, A.; Barbieri, M.; Pellicano, F.
Optimization of planetary gearboxes / Masoumi, A.; Barbieri, M.; Pellicano, F.. - 5:(2017), pp. 916-930. (Intervento presentato al convegno 23rd Conference of the Italian Association of Theoretical and Applied Mechanics, AIMETA 2017 tenutosi a ita nel 2017).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1221760
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