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Title: Investigation of Roller Sliding in Wind Turbine Gearbox High-Speed-Shaft Bearings

Abstract

In a collaborative project, Flender Corporation, SKF, and the National Renewable Energy Laboratory (NREL) have instrumented a commercial drivetrain, installed it in a wind turbine at the National Wind Technology Center, and operated the turbine for more than a year. The gearbox was specifically instrumented to measure high-speed bearing loads, sliding, and the lubricant environment. Commercial SKF black-oxide coated cylindrical-roller bearings were modified by magnetizing one roller and inserting a metal pin in the cage next to it to measure roller and cage speed, respectively, with an inductive coil and a proximity switch. In this report, these measurements are used to validate two different modeling approaches for bearing sliding - one analytical dynamic model and one multibody model. Once validated, these models can be used to evaluate the roller slip losses or cumulative frictional energy that are considered potential driving factors for wind turbine gearbox high-speed-shaft and high intermediate speed shaft bearing failures by white etching cracks.

Authors:
 [1]; ORCiD logo [2];  [3]; ORCiD logo [2]
  1. SKF Belgium NV/SA, Diegem (Belgium)
  2. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  3. SKF B.V., Houten (Netherlands)
Publication Date:
Research Org.:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office; SKF GmbH; Flender Corporation
OSTI Identifier:
1524765
Report Number(s):
NREL/TP-5000-73286
DOE Contract Number:  
AC36-08GO28308; 16-608; 17-694
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; wind energy; drivetrain; wind turbine; modeling; gearbox

Citation Formats

Vaes, David, Guo, Yi, Tesini, Pietro, and Keller, Jonathan A. Investigation of Roller Sliding in Wind Turbine Gearbox High-Speed-Shaft Bearings. United States: N. p., 2019. Web. doi:10.2172/1524765.
Vaes, David, Guo, Yi, Tesini, Pietro, & Keller, Jonathan A. Investigation of Roller Sliding in Wind Turbine Gearbox High-Speed-Shaft Bearings. United States. https://doi.org/10.2172/1524765
Vaes, David, Guo, Yi, Tesini, Pietro, and Keller, Jonathan A. 2019. "Investigation of Roller Sliding in Wind Turbine Gearbox High-Speed-Shaft Bearings". United States. https://doi.org/10.2172/1524765. https://www.osti.gov/servlets/purl/1524765.
@article{osti_1524765,
title = {Investigation of Roller Sliding in Wind Turbine Gearbox High-Speed-Shaft Bearings},
author = {Vaes, David and Guo, Yi and Tesini, Pietro and Keller, Jonathan A},
abstractNote = {In a collaborative project, Flender Corporation, SKF, and the National Renewable Energy Laboratory (NREL) have instrumented a commercial drivetrain, installed it in a wind turbine at the National Wind Technology Center, and operated the turbine for more than a year. The gearbox was specifically instrumented to measure high-speed bearing loads, sliding, and the lubricant environment. Commercial SKF black-oxide coated cylindrical-roller bearings were modified by magnetizing one roller and inserting a metal pin in the cage next to it to measure roller and cage speed, respectively, with an inductive coil and a proximity switch. In this report, these measurements are used to validate two different modeling approaches for bearing sliding - one analytical dynamic model and one multibody model. Once validated, these models can be used to evaluate the roller slip losses or cumulative frictional energy that are considered potential driving factors for wind turbine gearbox high-speed-shaft and high intermediate speed shaft bearing failures by white etching cracks.},
doi = {10.2172/1524765},
url = {https://www.osti.gov/biblio/1524765}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed May 01 00:00:00 EDT 2019},
month = {Wed May 01 00:00:00 EDT 2019}
}