Reducing Tolerance‐Induced Spread on Transmission Error in Planetary Gear Stages Using Monte Carlo Simulations and Surrogate Models Acquired From a Design of Experiments Approach

ABSTRACT Significant variations in tonality levels are frequently observed among nominally identical wind turbine drivetrains, both in industrial test setups and during field operations, posing challenges to compliance with noise emission standards. This work delves into the influence of production and assembly variations on static transmission error (STE) within a commercially available planetary gear stage utilized in onshore wind turbine applications. The study evaluates the effects of variations in gear microgeometry and planet pin mounting—conforming to specific quality levels—on the first and second orders of STE, a key parameter linked to acoustic performance. Employing an efficient planetary gear stage model that accommodates full 3D misalignments, combined with design of experiments (DoE) and analysis of variance (ANOVA), the research utilizes surrogate models for constructing response surfaces. These surfaces enable a comprehensive assessment of the impact of specific tolerance modifications on the spread in STE. Simulation results indicate that microgeometry variations in the profile direction exert a more significant impact at lower loads whereas variations in the lead direction predominantly influence STE spread at higher loads. Radial planet pin‐mounting variations show a consistent effect across the entire load range. This underscores the importance of a well‐considered selection of tolerance intervals to reduce the effect of production and assembly variations on a gearbox's noise profile, thereby mitigating STE variability and contributing to reduced noise emissions.

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Publication Details

Journal
Wind Energy
Published
2025-10-12
DOI
https://doi.org/10.1002/we.70064
Primary Topic
Gear and Bearing Dynamics Analysis
Type
article
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article

Reducing Tolerance‐Induced Spread on Transmission Error in Planetary Gear Stages Using Monte Carlo Simulations and Surrogate Models Acquired From a Design of Experiments Approach

Philip Becht, Jordi Marco I Jordan, Bart Blockmans, Frank Naets et al.
Wind Energy
Gear and Bearing Dynamics Analysis
article

Reducing Tolerance‐Induced Spread on Transmission Error in Planetary Gear Stages Using Monte Carlo Simulations and Surrogate Models Acquired From a Design of Experiments Approach

Philip Becht, Jordi Marco I Jordan, Bart Blockmans, Frank Naets, Nico De Bie, Bart De Smet
article en

Abstract

ABSTRACT Significant variations in tonality levels are frequently observed among nominally identical wind turbine drivetrains, both in industrial test setups and during field operations, posing challenges to compliance with noise emission standards. This work delves into the influence of production and assembly variations on static transmission error (STE) within a commercially available planetary gear stage utilized in onshore wind turbine applications. The study evaluates the effects of variations in gear microgeometry and planet pin mounting—conforming to specific quality levels—on the first and second orders of STE, a key parameter linked to acoustic performance. Employing an efficient planetary gear stage model that accommodates full 3D misalignments, combined with design of experiments (DoE) and analysis of variance (ANOVA), the research utilizes surrogate models for constructing response surfaces. These surfaces enable a comprehensive assessment of the impact of specific tolerance modifications on the spread in STE. Simulation results indicate that microgeometry variations in the profile direction exert a more significant impact at lower loads whereas variations in the lead direction predominantly influence STE spread at higher loads. Radial planet pin‐mounting variations show a consistent effect across the entire load range. This underscores the importance of a well‐considered selection of tolerance intervals to reduce the effect of production and assembly variations on a gearbox's noise profile, thereby mitigating STE variability and contributing to reduced noise emissions.

Wind EnergyVol. 28(11)
Flanders Make (Belgium) (BE), Ziekenhuisnetwerk Antwerpen Stuivenberg (BE), KU Leuven (BE)
Openalex Percentile: Top 70%
Gear and Bearing Dynamics Analysis
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