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Mechanism and Machine Theory
Article . 2023 . Peer-reviewed
License: CC BY NC ND
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UCrea
Article . 2023
License: CC BY NC ND
Data sources: UCrea
https://doi.org/10.2139/ssrn.4...
Article . 2023 . Peer-reviewed
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Probabilistic Analysis of the Mesh Load Factor in Wind-Turbine Planetary Transmissions: Tooth Thickness Errors

Authors: Díez Ibarbia, Alberto; Sánchez Espiga, Javier; Fernández del Rincón, Alfonso; Calvo Irisarri, José; Iglesias Santamaría, Miguel; Viadero Rueda, Fernando;

Probabilistic Analysis of the Mesh Load Factor in Wind-Turbine Planetary Transmissions: Tooth Thickness Errors

Abstract

This manuscript presents a probabilistic analysis of the mesh load factor in planetary transmissions destined to the wind-turbine industry. This work main goal is to stochastically evaluate the impact of the planetary gears manufacturing processes uncertainties on the transmission performance, depending on their geometric configuration. In order to establish this analysis, the tooth thickness error effect on the transmission performance is chosen, and several tolerances considered in DIN-3967 are statistically analysed. In this regard, two statistical methods -Monte Carlos Method and Taguchi´s Method - are compared for equally spaced in phased and sequentially phased configurations. This comparison allows to assess the accuracy of both methods, taking into account the significant difference in the necessary number of cases, which reaches 20,000 for Monte Carlo´s. Furthermore, a tolerance sensitivity analysis was performed to assess the influence of the errors size on the transmission performance, represented by its mesh load factor. Finally, the results show the number of non-valid transmissions compared to the threshold set by the IEC-61400.

This work has been supported by project PID2020-116213RB-I00 and PID2020-116572RA-I00 funded by the Spanish Ministry of Science and Innovation, as well as SIEMENS GAMESA RENEWABLE ENERGY S.A.

Country
Spain
Keywords

Tooth thickness error, Planetary transmission, Mesh load factor Kγ, Methods of Monte Carlo and Taguchi

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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14
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